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000-N04 IBM Commerce Solutions Order Mgmt Technical Mastery Test v1

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000-N04 exam Dumps Source : IBM Commerce Solutions Order Mgmt Technical Mastery Test v1

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Test appellation : IBM Commerce Solutions Order Mgmt Technical Mastery Test v1
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good cloud suppliers 2019: AWS, Microsoft Azure, Google Cloud; IBM makes hybrid stream; Salesforce dominates SaaS | true Questions and Pass4sure dumps

particular feature

The paintings Of The Hybrid Cloud

Cloud computing is insatiably gobbling up extra of the backend capabilities that vigour corporations. however, some businesses occupy apps with privacy, protection, and regulatory demands that forestall the cloud. here's the artery to locate the remedy merge of public cloud and private cloud.

read greater

The proper cloud suppliers for 2019 occupy maintained their positions, however the subject matters, options, and approaches to the market are entire in flux. The infrastructure-as-a-provider wars were generally determined, with the spoils going to Amazon internet features, Microsoft Azure, and Google Cloud Platform, however novel applied sciences equivalent to synthetic intelligence and desktop gaining knowledge of occupy opened the box as much as other gamers.

meanwhile, the cloud computing market in 2019 will occupy a decidedly multi-cloud spin, as the hybrid shift via players akin to IBM, which is acquiring purple Hat, may exchange the panorama. This year's version of the remedy cloud computing providers additionally elements application-as-a-carrier giants that will more and more dash more of your business's operations by the employ of enlargement.

One factor to word about the cloud in 2019 is that the market isn't zero sum. Cloud computing is using IT spending universal. as an example, Gartner predicts that 2019 world IT spending will boost 3.2 % to $3.76 trillion with as-a-service models fueling every thing from data headquarters spending to enterprise application.

actually, or not it's rather viable that a vast trade will consume cloud computing features from each seller in this book. The true cloud innovation can be from shoppers that combine and suit birthright here public cloud vendors in unique methods.

Key 2019 themes to solemnize among the precise cloud providers consist of:

  • Pricing vigour. Google currently raised expenditures of G Suite and the cloud belt is a know-how where add-ons exist for many novel applied sciences. while compute and storage functions are sometimes a race to the bottom, tools for machine studying, artificial intelligence and serverless functions can add up. there is a obliging understanding that pervade administration is such a big theme for cloud computing customers--it's arguably the biggest problem. search for pervade administration and considerations about lock-in to be huge themes.
  • Multi-cloud. A fresh survey from Kentik highlights how public cloud valued clientele are increasingly the usage of more than one dealer. AWS and Microsoft Azure are most regularly paired up. Google Cloud Platform is besides within the combine. And naturally these public cloud service suppliers are sometimes tied into current data middle and private cloud property. Add it up and there's a suit hybrid and personal cloud race underway and that's the understanding reordered the pecking order. The multi-cloud routine is being enabled by artery of virtual machines and containers.
  • synthetic intelligence, information superhighway of issues and analytics are the upsell applied sciences for cloud providers. Microsoft Azure, Amazon internet capabilities and Google Cloud Platform entire occupy similar innovations to land purchasers with compute, cloud storage, serverless functions after which upsell you to the AI that'll differentiate them. agencies fancy IBM are looking to manage AI and cloud capabilities across numerous clouds.
  • The cloud computing landscape is maturing impulsively yet monetary transparency backslides. it be telling when Gartner's Magic Quadrant for cloud infrastructure goes to 6 avid gamers from greater than a dozen. additionally, transparency has become worse amongst cloud computing suppliers. for example, Oracle used to pick up away infrastructure-, platform- and utility-as-a-carrier in its fiscal stories. nowadays, Oracle's cloud enterprise is lumped together. Microsoft has a "commercial cloud" that is terribly successful, however besides difficult to parse. IBM has cloud revenue and "as-a-provider" salary. Google would not escape cloud revenue at all. aside from AWS, parsing cloud earnings has circle into extra intricate.
  • To that conclusion, we're taking a separate approach to their cloud purchasing e-book and breaking the players into the massive 4 infrastructure suppliers, the hybrid avid gamers, and the SaaS crowd. This categorization has pushed IBM from being a vast infrastructure-as-a-provider participant to a tweener that spans infrastructure, platform, and utility. IBM is more deepest cloud and hybrid with hooks into IBM Cloud in addition to different cloud environments. Oracle Cloud is essentially a software- and database-as-a-carrier provider. Salesforce has become about routine more than CRM.

    ought to study
  • 2018 Annual earnings: $25.65 billion
  • Annual income dash expense based on latest quarter: $29.seventy two billion
  • AWS sees 2019 as an investment yr, as it ramps its know-how buildout as well as add sales personnel. Amazon did not quantify the bigger funding, however spoke of it would replace entire through the yr.

    On a convention convoke with analysts, CFO Brian Olsavsky spoke of 2018 changed into a lighter than expected 12 months for capital costs. "AWS maintained a extremely tough growth charge and persevered to bring for shoppers," he mentioned. "2018 changed into about banking the efficiencies of investments in individuals, warehouses, infrastructure that they had Put in belt in 2016 and '17."

    The cloud issuer is the leader in infrastructure-as-a-carrier and piteous up the stack to everything from the web of issues to synthetic intelligence, augmented truth, and analytics. AWS is far more than an IaaS platform these days.  AWS grew forty five % in the fourth quarter -- a clip that has been sturdy for the ultimate 12 months.

    When it involves developers and ecosystem, AWS is challenging to accurate. The enterprise has a wide array of companions (VMware, C3, and SAP) and developers growing to be the ecosystem. AWS is customarily the first beachhead for enterprise avid gamers earlier than they expand to a multi-cloud approach.

    The vast query is how far AWS can extend its reach. AWS can be a threat to Oracle on databases in addition to a bevy of other companies. by artery of its VMware partnership, AWS besides has a tough hybrid cloud approach and might meet trade wants assorted methods.

    AWS' routine was evident at its re:Invent conference. The demonstrate featured a bombard of capabilities, novel products, and developer chocolates that turned into difficult to track. artificial intelligence is a key enviornment of growth and a core revenue pitch for AWS as it turns into a computer studying platform. in keeping with 2nd Watch, AWS purchasers are going for these excessive-growth areas and seeing the cloud issuer as a key cog for his or her laptop gaining knowledge of and digital transformation efforts.

    need to study

    2nd Watch found that AWS' 2018 fastest growing functions occupy been the following:

  • Amazon Athena, with a 68-percent compound annual growth fee (measured by artery of bucks spent with 2nd Watch) versus a 12 months ago)
  • Amazon Elastic Container provider for Kubernetes at fifty three percent
  • Amazon MQ at 37 percent
  • AWS OpsWorks at 23 p.c
  • Amazon EC2 Container provider at 21 %
  • Amazon SageMaker at 21 %
  • AWS certificate manager at 20 p.c
  • AWS Glue at 16 p.c
  • Amazon GuardDuty at 16 percent
  • Amazon Macie at 15 %
  • in accordance with 2nd Watch usage, probably the most benchmark AWS features are:

  • Amazon virtual deepest Cloud
  • AWS information transfer
  • Amazon simple Storage carrier
  • Amazon DynamoDB
  • Amazon Elastic Compute Cloud
  • AWS Key administration carrier
  • AmazonCloudWatch
  • Amazon primary Notification carrier
  • Amazon Relational Database provider
  • Amazon Route fifty three
  • Amazon essential Queue service
  • AWS CloudTrail
  • Amazon basic e-mail provider
  • additionally: What serverless structure actually skill, and the situation servers enter the picture

    Analytics and forecasting may well be one enviornment charge observing for AWS. As AWS rolls out its forecasting and analytics functions, it's lucid that the company can circle into more intertwined with precise trade functions. 

    aws-forecast-integration.png (photo: ZDNet)

    AWS' attain continues to extend in diverse instructions, however possibly the one to watch probably the most is the database market. AWS is taking pictures extra database workloads and has emphasized its consumer wins. A stream to launch a completely managed document database takes direct intention at MongoDB. should silent AWS seize extra commercial enterprise statistics, it should be entrenched for many years to near as it continues to adjust features and promote them to you. 

  • industrial cloud annual earnings dash charge as of newest quarter: $36 billion
  • Estimated Azure annual revenue dash price: $11 billion
  • Microsoft Azure is the tough No. 2 to AWS, nevertheless it's problematic to directly examine both groups. Microsoft's cloud enterprise -- dubbed trade cloud -- comprises every thing from Azure to office 365 enterprise subscriptions to Dynamics 365 to LinkedIn features. on the other hand, Microsoft's robust commercial enterprise heritage, software stack, and records core equipment fancy home windows Server provide it a familiarity and hybrid routine that wears smartly.



    (picture: Microsoft)

    For differentiation, Microsoft has focused closely on AI, analytics, and the cyber web of things. Microsoft's AzureStack has been an extra cloud-meets-records headquarters pains that has been a differentiator.

    should study

    CEO Satya Nadella, on Microsoft's 2nd quarter earnings convention call, referred to the business's cloud unit is honing in on verticals comparable to healthcare, retail, and fiscal functions. This strategy comes birthright out of the trade software promoting playbook. 

    Nadella talked about:

    From a composite of services, it starts always with, i might say, infrastructure. So this is the facet and the cloud, the infrastructure getting used as compute. in fact, you may allege the measure of a corporation going digital is the volume of compute they use. So that's the bottom. Then on birthright of that, of path, entire this compute means or not it's getting used with data. So the statistics estate, one of the most greatest things that occurs, is americans consolidate the information that they occupy got and to be able to purpose over it.  and that's the situation issues fancy AI features entire pick up used. So they definitely descry that course the situation they're adopting the layers of Azure.

    with no worry put, Microsoft is selling a wide purview of cloud products, nevertheless it's difficult to smash out software-as-a-provider versus Azure, which would greater directly compete with AWS.

    Macquarie estimates that Azure salary in Microsoft's fiscal second quarter changed into $2.seventy five billion for an annualized dash fee of about $eleven billion. Sarah Hindlian, an analyst at Macquarie, talked about in a analysis be aware:

    Microsoft has been capable of differentiate Azure in a number of principal approaches, such because the trade being each commercial enterprise pleasant and aggressive in layering in exciting and incremental services akin to artificial Intelligence, Azure Stack, Azure Sphere, and a wide headquarters of attention on side computing and greater advanced and complicated workloads.

    certainly, Microsoft's capacity to goal industries has besides been a win. certainly, Microsoft has gained over tremendous agents that don't are looking to accomplice with AWS due to the fact they compete with Amazon. Microsoft besides entire started highlighting extra client wins together with cavity in addition to Fruit of the Loom.

    That grasp changed into additionally echoed in other places. Daniel Ives, an analyst at Wedbush, observed AWS is silent the big dog, but Microsoft has some unique merits within the container -- especially a robust organization and floor game. Ives wrote:

    while Jeff Bezos and AWS continue to certainly be a massive drive in the rising cloud shift over the arrival years, they harmonize with Microsoft with its army of partners and committed earnings drive occupy a tremendous window of possibility in 2019 to transmute businesses to the Azure/cloud platform in response to their contemporaneous in-depth discussions with partners and customers.

    without problems put, Microsoft can couple Azure with its different cloud capabilities corresponding to office 365 and Dynamics 365. With Azure, Microsoft has a smartly-rounded stack, starting from infrastructure to platform to applications to dash a enterprise.

    ought to read
  • Annual revenue dash cost: $four billion+
  • Google Cloud Platform has been successful greater offers, has a brand novel leader with Oracle veteran Thomas Kurian and is seen as a superb counterweight to AWS and Microsoft Azure. youngsters, Google is never divulging annual revenue dash cost or offering a lot counsel on its cloud financials.

    On Google's fourth quarter revenue convention call, CEO Sundar Pichai stated a lot of information facets for Google Cloud Platform (GCP). despite the fact, analysts occupy been frustrated with the aid of the shortcoming of earnings disclosed. To kick off 2018, Pichai noted Google's cloud profits became $1 billion 1 / 4 evenly split between G Suite and GCP.

    In 2019, Pichai held returned on his dash rate chatter, so or not it's doubtful no matter if GCP is gaining on AWS or Azure or just growing to be because the universal cloud pie is growing to be. notably, Pichai outlined birthright here:

  • The number of Google Cloud Platform (GCP) deals charge greater than $1 million doubled.
  • The number of multiyear contracts doubled. "We're getting tremendous wins, and i stare forward to executing birthright here," pointed out Pichai.
  • G Suite has 5 million paying shoppers.
  • there's an uptick within the variety of deals worth more than $100 million.
  • CFO Ruth Porat noted:

    GCP does continue to be one of the crucial quickest-turning out to be organizations across Alphabet. As Sundar said, they now occupy doubled the variety of GCP contracts superior than $1 million. We're additionally seeing early first-rate uptick in the variety of deals which are more suitable than $a hundred million, and definitely completely satisfied with the success and penetration there. At this element, not updating further.

    Add it up, and GCP looks to be a superb No. 3 to AWS and Azure, however how remote it falls in the back of those two is silent to be seen. Wall highway enterprise Jefferies is predicting that GCP will gain partake over time.



    (graphic: Jefferies)

    One circulation that may boost Google's cloud profits is a movement to raise G Suite fees for some clients. G Suite, which competes without retard with Microsoft's workplace 365, is raising its expenses for the first time. G Suite primary will elevate expenses from $5 per user per month to $6. G Suite trade will Go from $10 per person per month to $12. in keeping with Google, G Suite enterprise, which runs $25 per person a month, isn't impacted with the aid of the fee enhance.

    Competitively, the pricing moves are in line with workplace 365.

  • Annual revenue dash rate: $3.eighty five billion
  • Alibaba is the main cloud company in China and an altenative for multi-national companies building infrastructure there.

    In its December quarter, Alibaba delivered cloud profits growth of eighty four % to $962 million. The company has entire of a sudden delivered purchasers and is presently in the cloud buildout part. To wit:

    Add it up, and Alibaba has a robust home-container potential in China, however it additionally has international ambitions. Alibaba launched 678 items in the December quarter. Relationships with the likes of SAP are prone to Put it on the radar for extra organizations with operations in China.

    while the huge cloud providers add more to their stacks with AI because the differentiator, there is a market being carved out to maneuver numerous cloud suppliers. This press of cloud avid gamers used to focus on hybrid structure to bridge statistics centers with public provider providers, however now goal to be the infrastructure administration plane.

    additionally: What Kubernetes definitely is, and the artery orchestration redefines the facts center

    analysis via Kentik highlighted how essentially the most average cloud composite was AWS and Azure, but there are customers working in Google Cloud Platform, too. in accordance with the Kentik survey, 97 percent of respondents mentioned their groups employ AWS, however 35 percent additionally talked about they actively employ Azure too. Twenty-four p.c employ AWS and Google Cloud Platform collectively.



    (photo: Kentik)

    additionally: What a hybrid cloud is in the 'multi-cloud era,' and why you may additionally occupy already got one 

  • Annualized as-a-provider dash price: $12.2 billion
  • IBM's cloud strategy and its routine to AI occupy a remarkable deal in general. huge Blue's routine is to enable customers to manage separate methods, capabilities and providers and circle into the management console. IBM desires to be a section of your cloud environment as well as back you dash it. In 2018, IBM launched OpenScale for AI, which is designed to control assorted AI equipment seemingly offered through the fundamental cloud suppliers. IBM additionally launched multi-cloud tools. suppose of IBM because the Switzerland of cloud adoption and computing services recommendations.

    The circulate through corporations to consequence employ of assorted public cloud suppliers is exciting and offers the understanding for IBM's acquisition of crimson Hat for $34 billion. IBM has its own public cloud and will bring every runt thing from platform-as-a-service to analytics to Watson and even quantum computing via it, but the vast guess is that big Blue with red Hat could consequence it a leading cloud administration participant. For its half, IBM is taking its core intellectual property -- Watson, AI administration, cloud integration -- and supplying it through numerous clouds.

    The pink Hat acquisition is a random the farm stream with the aid of IBM. It is silent to be considered how the IBM and crimson Hat cultures near collectively. On the shiny aspect, both companies were hybrid cloud partners for years.

    should read

    indeed, IBM CFO James Kavanaugh on the business's fourth quarter salary conference convoke reiterated the red Hat reasoning and noted huge Blue is seeing extra deals for IBM Cloud private and its approach to "hybrid open" cloud environments. Kavanaugh added:

    Let me pause here to remind you of the value they descry from the composite of IBM and crimson Hat, which is entire about accelerating hybrid cloud adoption. The client response to the announcement has been overwhelmingly wonderful. They understand the vigour of this acquisition and the combination of IBM and pink Hat capabilities in assisting them travel beyond their introductory cloud travail to truly piteous their trade applications to the cloud. they're involved in regards to the comfy portability of statistics and workloads across cloud environments, about consistency in administration and protection protocols throughout clouds and in keeping off vendor lock-in. They occupy in intellect how the aggregate of IBM and crimson Hat will aid them tackle these considerations.

    also: The AI, laptop getting to know, and statistics science conundrum: Who will manage the algorithms? 

    IBM's as-a-provider profits dash charge exiting the fourth quarter was $12.2 billion to consequence it a tough cloud provider, however no longer akin to the likes of AWS and Azure nowadays. it's reasonably possible that the concepts of the entire huge cloud providers eventually converge.

    the brand novel hybrid and multi-cloud landscape could be probably the most greater crucial issues to solemnize within the cloud wars for 2019. 

    listed below are some key gamers to consider:

    VMware: It is a section of the Dell technologies portfolio, and it has had average facts centers in the fold for years. The trade emerged as a virtualization supplier after which adopted every runt thing from containers to OpenStack to anything else emerged. perhaps, the optimal movement for VMware turned into its tight partnership with AWS. This hybrid cloud partnership is a win-win for both parties and each organizations occupy continued to construct on their initial efforts. The partnership is so enjoyable that VMware is helping to bring AWS on premises. To wit:

    Of direction, VMware besides has its vRealize Suite, vCloud Air, VMware HCX, Cloud administration Platform, vSphere, and networking products.

    Dell applied sciences and HPE: both of those vendors occupy numerous products to operate facts centers and are plugging into cloud suppliers. 

    HPE's routine boils birthright down to multi-cloud, hybrid infrastructure that extends to the part.



    (graphic: HPE)

    after which, there's Cisco, which by artery of acquisitions has developed out a significant software portfolio. Cisco outlined a data core anyplace imaginative and prescient that revolves around plugging its utility centric infrastructure (ACI) into numerous clouds. No bethink how you slice the hybrid cloud video game, the conclusion situation is the same: numerous suppliers and personal infrastructure seamlessly linked. Cisco besides has partnerships with Google Cloud. Kubernetes, Istio, and Apigee serve because the glue in the Cisco-Google effort.

    while the hybrid cloud market become broadly panned as legacy carriers cooking up novel methods to sell hardware, the novel multicloud world has extra acceptance even among the former upstarts who desired to circle the likes of IBM, VMware, Dell, and HPE into dinosaurs.

    The SaaS market besides highlights how providers and their changing options and acquisition plans consequence cloud classification greater difficult. within the 2018 version of their cloud rankings, Oracle become lumped into the AWS, Azure, and GCP press mostly since it changed into trying to play within the IaaS market.

    while CTO Larry Ellison silent looks to be obsessed with AWS, Oracle is pretty much a software- and database-as-a-provider business. possibly Oracle's efforts to automate the cloud and cook dinner up next-gen infrastructure pay off, but for now, the trade is definitely about utility. Salesforce via the acquisition of MuleSoft has besides changed its stripes a runt and added an integration spin to the cloud routine (and even a runt bit of typical utility licensing). SAP has grown into a big cloud player and Workday has opened its ecosystem.

    masking each SaaS player is beyond the scope of this overview, however there are a group of vendors that could be referred to as SaaS+. These cloud provider providers lengthen into platforms and entire of these carriers occupy varied SaaS items that can dash your business.

  • Annual cloud features and license back revenue dash cost: $26.4 billion
  • ERP and HCM annualized revenue: $2.6 billion
  • In Gartner's 2018 Magic Quadrant for IaaS, the analysis arduous narrowed the container to simply cloud organizations. Oracle made the reduce. It would not be magnificent if Oracle was reclassified in 2019 out of the infrastructure race.

    Let's pick up precise: Oracle is a SaaS company and there's no disgrace in that. in reality, Oracle is damn respectable at the SaaS video game and has every runt thing lined from small- and mid-sized agencies via NetSuite to significant businesses migrating on-premise utility to the cloud.

    but the precise differentiation with Oracle is its database. The company has a tremendous Put in base, an self reliant database that aims to Put off grunt travail and the knowledge to Put its know-how on extra clouds beyond its own. Oracle is pitching itself as a Cloud 2.0 participant.

    For now, Oracle is a bit of obsessive about AWS. trust:

    Andy Mendelsohn, executive vice president of database server technologies at Oracle, observed it be very early in the cloud migration of databases. "in the SaaS world it be a mature market the situation trade purchasers occupy accredited they could dash HR and ERP in the cloud," he talked about. "Database within the cloud has runt or no adoption."

    Mendelsohn spoke of what Oracle sees greater of is customers the employ of capabilities fancy Cloud at customer and a personal cloud routine to piteous databases. Initiatives fancy Oracle's self enough database could be extra about a non-public cloud strategy, he noted.

    amongst smaller corporations, databases are greater widely wide-spread in the cloud as a result of there's much less investment vital.

    "The big battleground will revolve around the information. it's the core asset at every enterprise out there," he spoke of.

    Cloud at consumer is a section of how Oracle sees its multi-cloud strategy. Analysts occupy raised concerns that Oracle may silent dash its utility and databases on extra clouds.

    Following Oracle's 2nd quarter salary in December, Stifel analyst John DiFucci said:

    while they continue to feel Oracle is neatly-placed within the SaaS market, they remain greater cautious round PaaS/IaaS, both in terms of proper-line earnings and associated cap-ex implications.

    while there's runt doubt in their intellect that Oracle's Put in groundwork is extremely cozy, they dependence that a huge component of net novel database workloads are going to non-Oracle platforms (hyperscale solutions, NoSQL, open source, and many others).

    We continue to be cautious on Oracle's IaaS efforts and back the belief of Oracle expanding back for other clouds.

    Mendelson stated that Oracle has labored with numerous vendor suggestions throughout its historical past, so it's no longer a all lot of a stretch to descry multi-cloud emerge over time.

  • Annual cloud revenue dash expense:$14 billion
  • earnings Cloud annual profits dash rate: $four billion
  • service Cloud annual salary dash fee: $three.6 billion
  • Saleforce Platform & other annual earnings dash rate: $2.8 billion
  • marketing and Commerce Cloud annual salary dash fee: $2 billion
  • Salesforce began as a CRM company twenty years in the past and has improved into every thing from integration to analytics to advertising to commerce. Woven entire the artery through the Salesforce clouds are add-ons equivalent to Einstein, an AI device.

    effectively put, Salesforce wants to be a digital transportation platform it's concentrated on fiscal 2022 goal of earnings between $21 billion to $21 billion.

    Most cloud vendors -- public, private, hybrid or otherwise -- will inform you the video game is taking pictures facts under administration. Salesforce additionally sees the vow of being the information platform of record.



    (picture: Salesforce)

    Enter Salesforce's consumer 360. The grasp routine is to consequence employ of client 360 to enable Salesforce valued clientele to connect entire their facts into one view. The theory is never precisely customary, but Salesforce's dispute is that it will probably execute superior and Put the consumer at the core of the facts universe.

    Add it up, and Salesforce is becoming a platform guess for its purchasers. Salesforce co-CEO Keith block noted the trade is landing more deals value $20 million or extra and these days renewed a nine-determine win with a fiscal functions company. Marc Benioff, co-CEO and chairman, stated that Einstein AI is being delivered into entire the enterprise's clouds.

    have to study

    Salesforce has besides partnered well with the likes of Apple, IBM, Microsoft (in some areas), AWS, and Google Cloud.

    The go-to-market routine for Salesforce revolves around promoting multiple clouds and setting up trade specific purposes such as the enterprise's monetary capabilities Cloud.

    Block noted:

    I've traveled worldwide meeting with greater than one hundred CEOs and world leaders. The conversation is consistent in entire places i am going. it be about digital transformation. or not it's about leveraging their expertise. it's about their tradition, and or not it's about their values. This C-degree date is translating into greater strategic relationships than ever.

    For 2019, there's runt on the radar -- short of a huge economic downturn -- that might derail Salesforce's momentum. sure, Oracle and SAP continue to be fierce competitors with the latter actively pitching its subsequent-gen CRM equipment, however Salesforce is seen as a digital transformation engine. Microsoft is yet another competitor charge gazing, because it additionally wants to proffer a lone view of the customer. Dynamics 365 is fitting more aggressive with Salesforce. With its advertising and marketing Cloud, Salesforce competes with Adobe. As Salesforce continues to expand so will its aggressive set.

    more on Salesforce:
  • Annual cloud subscriptions and back revenue: €5 billion
  • Annual cloud earnings dash expense: €5.sixty four billion
  • SAP has a sprawling cloud application trade that runs from ERP and HR to prices (Concur) in addition to Ariba. The enterprise is fundamental enterprise application, however valued clientele are migrating to the cloud. SAP's approach rhymes with Oracle's strategy, but there may be a key change: SAP will dash on assorted clouds.

    CEO bill McDermott mentioned the SAP cloud partners on the business's fourth quarter income name. "SAP has potent partnerships with Microsoft, Google, Amazon, Alibaba, and others to embrace this charge introduction probability," he mentioned. "clients can dash on-premise, in a non-public cloud or within the public cloud. it's their alternative."



    (photo: SAP)

    The SAP cloud lineup consists of birthright here:

  • SAP S/4HANA Cloud
  • SAP SuccessFactors
  • SAP Cloud Platform, records Hub (which might be hybrid plays)
  • SAP C/four HANA
  • company network software (Ariba, Concur, and Fieldglass)
  • in the end, SAP is a merge of historically licensed software and cloud models. CEO invoice McDermott additionally outlined some huge boom desires. For 2019, SAP is projecting cloud subscription and back revenue between €6.7 to €7.0 billion.

    Going ahead, SAP is projecting cloud subscription and aid profits of €eight.6 to €9.1 billion. by 2023, SAP wants to triple cloud subscription and back earnings from the 2018 tally.

    more on SAP:
  • Annual cloud profits dash expense: $three billion
  • Workday made its identify with human capital management, expanded into financials and ERP, and is including analytics by artery of a sequence of acquisitions.

    before AWS became an Oracle obsession, Workday became a chief target of Larry Ellison's rants. those verbal barbs from Ellison grew to be a inform that Workday was faring neatly.

    Most of Workday's income derives from HCM, but the enterprise is starting to sell financials along with it. In other phrases, Workday is trying to enhance that multi-cloud playbook that Salesforce has going. That said, Workday additionally has lots of runway for HCM. Workday hasl half of the Fortune 50 as purchasers and about forty p.c of the Fortune 500.

    The analytics enterprise for Workday is being developed by means of acquisition. Workday received Adaptive Insights, a company planning participant, and will target analytics workloads.

    while Workday fared smartly by itself, the enterprise become sluggish to expand its ecosystem and dash on infrastructure from the public cloud giants. Workday has unfolded to permit clients to dash on AWS and that's the understanding a huge circulate that may pay dividends sooner or later.

    The company additionally launched the Workday Cloud Platform, which allows purchasers to write down applications interior of Workday by the employ of a set of application programming interfaces. The Workday Cloud Platform, launched in 2017, makes its platform more bendy and open.

    In 2019, that you can predict Workday to discover enlargement ito extra industries beyond training and government. Healthcare may be an altenative for a broader effort.

    Robynne Sisco, CFO of Workday, referred to at an investor conference in December:

    should you feel about increasing when it comes to trade operational methods, there may be definitely plenty that they may Do going forward. They might Do retail. They could Do hospitality. As of presently, they occupy now obtained loads of issues we're engaged on. So we're staying the situation we're. however trade does circle into very crucial when you talk about promoting financials.

    Workday is besides focused on extra mid-sized groups with Workday Launch, a arduous and fast-price, preconfigured utility package.

    The competitive set for Workday is Oracle and SAP for HCM and Financials. besides watch Salesforce, which is a Workday accomplice and knowledge foe sooner or later. one other wild card for Workday could be Microsoft, which is integrating LinkedIn greater for HR analytics.

    more on Workday: greater on cloud administration: extra on supplier management: greater on cyber web of issues: more on cloud vs data core:

    Sitecore® declares global Partnership with IBM iX to permit main web content management, Commerce, and marketing options | true Questions and Pass4sure dumps

    Sitecore®, the  leader in digital adventure administration software, nowadays announced a brand novel global partnership with IBM iX, one of the world's greatest digital organizations and world enterprise design companions. The partnership will consequence purchasable to purchasers Sitecore’s leading net content administration, commerce, and advertising and marketing solutions by means of IBM iX designers, expertise experts, and trade strategists in forty IBM Studios global. 

    The extended partnership brings collectively the total breadth of IBM iX’s capabilities to capitalize on the becoming require for digital advertising capabilities that create extremely-personalized consumer experiences throughout entire digital touchpoints. 

    Matthew sweet, global leader, IBM iX, mentioned that “customer adventure is the principal thing strategic goal of many organizations and core to these businesses’ means to transform. i'm very excited that they are increasing out their current relationship with Sitecore into a global partnership, as they become a crucial player in their ecosystem of companions.” 

    As a world Platinum associate within the Sitecore solution provider program, IBM iX provides the realm-category consulting, design, building and implementation services required to installation solutions on the Sitecore platform and deliver remarkable consequences for purchasers. Matched to Sitecore’s main digital event management capabilities, companies can give end-valued clientele with seamless, omnichannel experiences to pressure differentiation, promote company transformation, and enhance earnings and customer lifetime price. The IBM iX and Sitecore partnership is extra empowered with most usurp practices and accelerators, as smartly because the potential to leverage the dash of IBM Cloud and IBM Watson know-how. IBM iX additionally brings to endure the unparalleled skills of Bluewolf, an IBM business, growing experiences with Salesforce, with whom Sitecore has a strategic alliance. 


    jSonar broadcasts an aftermarket agreement with IBM protection for its SonarG Database security Platform | true Questions and Pass4sure dumps

    WALTHAM, Mass., Feb. eleven, 2019 /PRNewswire-PRWeb/ -- jSonar, a pacesetter in database protection and DCAP solutions, nowadays announced that it has entered into an original gadget manufacturing (OEM) settlement with IBM safety. on account of this settlement, jSonar's SonarG technology will combine into the IBM safety Guardium data security portfolio because the novel IBM security Guardium huge statistics Intelligence providing.

    businesses continue to shift suggestions as they respect their information is a vital asset requiring advanced tiers of visibility and manage. IBM safety Guardium vast data Intelligence couples jSonar's SonarG technology with IBM's confirmed trade-leading safety solutions to create a centralized facility for consolidating statistics endeavor information from a variety of sources into a enormously productive purpose-built security facts lake. This facts groundwork is then leveraged to provide company contextual insight as well as fixing rapidly expanding database compliance and safety needs. Key capabilities encompass,

  • big data Scale - immediately deploy 200+TB security information lakes and extravagant hurry analytics
  • information Agility - unheard of flexibility of ingestion, integration, information enrichment and self-provider entry by the employ of a all lot of tools (e.g. Splunk, Tableau, SQL, provider Now, and so on.).
  • automated insight- An imaginitive database structure and AI-primarily based capabilities optimized for analytical workflows, advanced pipelining and lofty efficiency queries.
  • "we're satisfied to be working carefully with IBM safety to raise their huge information capabilities for Guardium's customer base," pointed out Ron BenNatan, CTO at jSonar. "as the industry expands beyond accustomed database compliance reporting, a broad purview of recent employ situations has emerged that demands expertise to more readily address data management, evaluation and trade routine automation. they occupy worked intently with IBM security to tightly couple their safety statistics lake technology with their present information safety structure with a purpose to transparently compile information risk undertaking and carry an array of novel capabilities to extra augment the value that each novel and present consumers can derive from their Guardium investments."

    Database protection trade LeadershipjSonar became established in 2013 with the mission of presenting subsequent generation NoSQL protection analytics structures. jSonar has been identified as an trade leader via its continuous technical innovation. The company became first identified by receiving the prestigious MongoDB Innovation award for its innovative NoSQL analytics tools. other trade firsts consist of,

  • SonarW: A JSON-native Analytics Platform that promises ultra-high efficiency, low costs and extravagant usability via its wonderful combination of simplicity, flexibility and accessibility.
  • DCAP principal: gives a critical repository for the efficient collection and administration of massive data scale, bendy self-service reporting and lengthy-time period retention. Key improvements consist of machine-learning engines, AI algorithms and functions that discover insights, along with superior integrations enabling enormously automatic discontinue to conclusion process flows.
  • SonarG: an entire, unified solution for attaining database protection and compliance throughout your all databases, together with on-prem, DBaaS/PaaS and multi-cloud. innovations include AI and superior automation to transform massive uncooked taste volumes into actionable assistance, which is then managed by means of entirely integrated procedure workflows and services.
  • DBSec2.0 SaaS: Enabling the SonarG Database security and Compliance solution to be effectively consumed by means of the SaaS mannequin. effortlessly factor your audit pastime records to DBSec2.0 and engage at once with the provider for safety and compliance insights.
  • These innovations and the OEM relationship with IBM proceed to obligate colossal profits growth for jSonar, including a doubling of revenue in 2018. jSonar enjoys success with a wide array of trade leading groups in the finance, assurance and retail markets, and tasks yet another doubling of income in 2019.

    For more InformationInformation on the newest addition to IBM safety's solutions for facts protection, gladden hunt advice from or watch this informative video.

    About jSonarjSonar provides next-era protection and compliance solutions for On-Premise and Cloud implementations based mostly upon its superior SonarC2 know-how. finished, "out-of-the container" safety records Lakes and DCAP options can besides be deployed and offering charge within days and weeks as opposed to the years mandatory to strengthen an in-condominium platform. Underlying entire solutions is a magnificent NoSQL, compressed–columnar information store coupled with analytical engines that enable extremely-excessive efficiency and reasonably-priced seize, retention, administration and AI-greater. These options can applied both as an on-premise or application as a carrier (SaaS) capacity.


    source jSonar

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    Desktop Management Problem | true questions and Pass4sure dumps

    Desktop Management Problem

    The model desktop management system should provide a "push" technology that allows administrators to deploy software to multiple PCs simultaneously from a centralized administrative console, without requiring discontinue user intervention or a technician to visit the desktop. Deployment tasks can be executed immediately or scheduled for off-hours in order to minimize impact on discontinue user productivity or network bandwidth.

    The model desktop management should be an open and scalable system that supports a purview of server platforms, such as Solaris, HP-UX, NT, and both novel and legacy Microsoft client platforms (DOS, Windows 3.x, Windows 95, Windows 98 and NT 4.0). The system should be standards-based, with back for benchmark protocols, including IP, DHCP and BOOTP and benchmark Wired for Management (WfM)-enabled PC platforms (DMI 2.0, Remote Wake Up and PXE). The desktop management system should besides back legacy PCs via boot PROMs or boot floppies for benchmark NICs from Intel, 3Com, SMC and others.

    Essential to the equation should besides be a progression of open, programmable interfaces that allow customers and partners to extend and customize the system. The system should be carefully designed to provide scalability across big numbers of clients and servers, including the talent to group PCs and software packages into deployment groups and the talent to intelligently manage network bandwidth.

    Windows 2000 promises to address many of these limitations but will not be deployed in most production environments until 2001, according to industry analysts, such as the GartnerGroup; moreover, in order to grasp edge of these novel desktop capabilities, organizations must migrate to an exclusive, all-Windows 2000 environment on both clients and servers, which may be unrealistic for many corporations, the preponderance of non-NT desktops.

    The model desktop management system should configure operating systems, applications and desktop parameters on an ongoing basis. These operations should be executed simultaneously on multiple PCs from central administrative consoles, and should deliver three critical capabilities: pre-OS installation, remote back and no discontinue user intervention. These three powerful capabilities result in enterprise desktop management nirvana: lower PC total cost of ownership (TCO).

    As computing environments travel toward increasingly distributed and heterogeneous environments, many IT organizations are now implementing centralized management systems for managing network resources such as routers and printers, application and database servers (e.g., SAP, Oracle, Lotus Domino), and desktop PCs.

    The driving obligate behind these implementations is the realization that centralized management systems are required to cost-effectively manage the knotty and mission-critical nature of networked systems. For most IT organizations, centralized management systems are the only artery of approaching the identical flat of reliability, availability and control as has been available with mainframe environments of the past.

    Centralized Tools

    Centralized desktop management tools are seen as a key requirement for reducing the TCO associated with desktop back and the rapid growth of desktops in enterprise environments, and as a key enabler for delivering a higher trait of IT service to end-user organizations.

    In addition, most IT organizations now descry PC desktops as a mission-critical corporate resource that should be managed as section of an overall networked environment – embodying the philosophy "the network is the computer" – rather than treated as a progression of isolated standalone resources to be managed on an individual basis.

    Tactical requirements for desktop management typically arise in connection with imperative short-term projects such as desktop OS migrations (e.g., from Windows 3.1 or OS/2 to Windows 95/98 or NT), Y2K desktop remediation projects, large-scale deployments of novel and more powerful PC hardware to back trade unit requirements (Web access, e-commerce, multi-media, etc.), or deployment of novel and knotty applications, such as Lotus Notes or Netscape Communicator.

    Technology Differentiators

    A successful desktop management system should provide three key technology differentiators versus conventional electronic software distribution systems: pre-OS technology, autochthonous installation engine and continuous configuration.

    The talent to install and configure operating systems on PCs that are novel or are unable to boot due to corruption or misconfiguration is called pre-OS capability. Pre-OS technology enables the desktop management system to install operating systems on a PC regardless of its situation (e.g., corrupted arduous disk, won’t boot, virgin arduous drive, etc.). If a desktop management system cannot fulfill these functions, then its value is tremendously reduced, as the (re)installation represents a major job of IT back staffs.

    Pre-OS technology takes control of the PC even in the absence of a working operating system, and automates the installation and configuration of operating systems on novel PCs out of the box. It besides acts in a back desk setting for PCs that are unable to boot due to misconfiguration or corruption – without requiring a technician to visit the desktop or any end-user interaction.

    The model desktop management system should install applications by running the vendor-supplied autochthonous installation program (setup.exe) on the target client. Its desktop agent should click through the installation wizard using the installation options specified by the administrator before launching the installation task. This allows each installation to be easily customized on a per-user or group-wide basis via a point-and-click administrative interface. No editing of script or batch files is required. In addition, this approach provides a lofty flat of reliability because it leverages the vendor-supplied installation procedure that adapts in real-time to the hardware and software configuration of the target system.

    The model desktop management system should manage PC configurations across the entire PC lifecycle, not just during the initial application installation. It should be able to deploy action packages to add a novel printer or change printer settings, change the IP address or login password of a PC, dash an anti-virus or inventory scan, or execute a BIOS gleam as section of a Y2K remediation effort.

    It is besides helpful for a desktop management system to maintain a unique client configuration database that stores a history of entire software packages that occupy been installed, as well as the configuration parameters that were used during installation. This database can be used to rebuild the desktop to its previous configuration at any time, in a completely unattended manner.

    Intel WfM Initiative

    The Intel WfM initiative is intended to significantly enhance manageability and reduce TCO for desktop PCs. According to Intel, approximately 14 million WfM-enabled PCs occupy shipped since the discontinue of 1998.

    WfM V2 will proffer enhanced manageability for mobile PCs, enhanced security via encryption and authentication, and back for novel hardware/software asset management standards such as CIM (Common Information Model) and WBEM (Web-Based Enterprise Management). WfM V2 is currently in beta with PC manufacturers and is expected to be available in mid-1999.

    In addition, 100 percent of the trade PCs offered from vendors, such as Dell, Compaq, IBM and HP are currently shipping with WfM capabilities. The model desktop management solution should fully back the WfM V1.1 specification, which consists of three components:

    Remote Wake Up (RWU): Allows IT organizations to execute administrative tasks remotely during off-hours to preserve network bandwidth and user productivity.

    The PC client is automatically "awakened" under centralized control of the desktop management system, and directed to install and configure operating systems and applications.

    DMI 2.0 (Desktop Management Interface): Developed by the Desktop Management job obligate (DMTF), DMI 2.0 allows back Desk personnel to scan the hardware and software properties of remote PCs in real-time to aid in troubleshooting.

    Avoid Bothersome Garbage Collection Pauses | true questions and Pass4sure dumps

    Many engineers complain that the non-deterministic behavior of the garbage collector prevents them from utilizing the Java environment for mission-critical applications, especially distributed message-driven displays (GUIs) where user responsiveness is critical. They harmonize that garbage collection does occur at the worst times: for example, when a user clicks a mouse or a novel message enters the system requiring immediate processing. These events must be handled without the retard of in-progress garbage collection. How Do they prevent these garbage collection pauses that meddle with the responsiveness of an application ("bothersome pauses")?

    We occupy discovered a very effective technique to prevent bothersome garbage collection pauses and build responsive Java applications. This technique or pattern is especially effective for a distributive message-driven pomp system with soft real-time constraints. This article details this pattern in three simple steps and provides evidence of the effectiveness of the technique.

    Pattern to Control Garbage Collection PausesThe Java environment provides so many benefits to the software community - platform independence, industry momentum, a plethora of resources (online tutorials, code, interest groups, etc.), object-oriented utilities and interfaces (collections, network I/O, undulate display, etc.) that can be plugged in and out - that once you occupy experienced working with Java it's arduous to Go back to traditional languages. Unfortunately, in some mission-critical applications, fancy message-driven GUIs that must be very responsive to user events, the requirements obligate you to grasp that step backward. There's no leeway for multiple second garbage collection pauses. (The garbage collector collects entire the "unreachable" references in an application so the space consumed by them can be reused. It's a low-priority thread that usually only takes priority over other threads when the VM is running out of memory.) Do they really occupy to lose entire the benefits of Java? First, let's reckon the requirements.

    A system engineer should reckon imposing requirements for garbage collection fancy the following list taken from a telecom industry example (see References).1.  GC sequential overhead on a system may not be more than 10% to ensure scalability and optimal employ of system resources for maximum throughput.2.  Any lone GC pause during the entire application dash may be no more than 200ms to meet the latency requirements as set by the protocol between the client and the server, and to ensure obliging response times by the server.

    Armed with these requirements, the system engineer has defined the worst-case behavior in a manner that can be tested.

    The next question is: How Do they meet these requirements? Alka Gupta and Michael Doyle consequence excellent suggestions in their article (see References). Their approach is to tune the parameters on the Java Virtual Machine (JVM). They grasp a slightly different approach that leaves the employ of parameter definitions as defined by the JVM to be used as a final tuning technique.

    Why not bid the garbage collector what and when to collect?

    In other words, control garbage collection via the software architecture. consequence the job of the garbage collector easy! This technique can be described as a multiple step pattern. The first step of the pattern is described below as "Nullify Objects." The second step involves forcing garbage collection to occur as delineated in "Forcing Garbage Collection." The final step involves either placing persistent data out of the achieve of the collector or into a data pool so that an application will continue to fulfill well in the long run.

    Step 1: Nullify ObjectsMemory leaks strike horror into the hearts of programmers! Not only Do they abase performance, they eventually terminate the application. Yet recollection leaks prove very subtle and difficult to debug. The JVM performs garbage collection in the background, freeing the coder from such details, but traps silent exist. The biggest danger is placing an remonstrate into a collection and forgetting to remove it. The recollection used by that remonstrate will never be reclaimed.

    A programmer can prevent this ilk of recollection leak by setting the remonstrate reference and entire underlying remonstrate references ("deep" objects) to null when the remonstrate is no longer needed. Setting an remonstrate reference to "null" tells the garbage collector that at least this one reference to the remonstrate is no longer needed. Once entire references to an remonstrate are cleared, the garbage collector is free to reclaim that space. Giving the collector such "hints" makes its job easier and faster. Moreover, a smaller recollection footprint besides makes an application dash faster.

    Knowing when to set an remonstrate reference to null requires a complete understanding of the problem space. For instance, if the remote receiver allocates the recollection space for a message, the ease of the application must know when to release the space back for reuse. Study the domain. Once an remonstrate or "subobject" is no longer needed, bid the garbage collector.

    Thus, the first step of the pattern is to set objects to null once you're sure they're no longer needed. They convoke this step "nullify" and include it in the definition of the classes of frequently used objects.

    The following code snippet shows a routine that "nullifies" a track object. The class members that consist of primitives only (contain no additional class objects) are set to null directly, as in lines 3-5. The class members that accommodate class objects provide their own nullify routine as in line 9.

    1 public void nullify () {23 this.threatId = null ;4 this.elPosition = null ;5 this.kinematics = null ;67 if (this.iff != null)8 {9 this.iff.nullify();10 this.iff = null ;11 }12 }

    The track nullify is called from the thread that has completed processing the message. In other words, once the message has been stored or processed, that thread tells the JVM it no longer needs that object. Also, if the remonstrate was placed in some Collection (like an ArrayList), it's removed from the Collection and set to null.

    By setting objects to null in this manner, the garbage collector and thus the JVM can dash more efficiently. Train yourself to program with "nullify" methods and their invocation in mind.

    Step 2: "Force" Garbage CollectionThe second step of the pattern is to control when garbage collection occurs. The garbage collector, GC, runs as Java priority 1 (the lowest priority). The virtual machine, VM, runs at Java priority 10 (the highest priority). Most books recommend against the usage of Java priority 1 and 10 for assigning priorities to Java applications. In most cases, the GC runs during idle times, generally when the VM is waiting for user input or when the VM has dash out of memory. In the latter case, the GC interrupts high-priority processing in the application.

    Some programmers fancy to employ the "-Xincgc" directive on the Java command line. This tells the JVM to fulfill garbage collection in increments when it desires. Again, the timing of the garbage collection may be inopportune. Instead, they hint that the garbage collector fulfill a complete garbage collection as soon as it can in either or both of two ways:1.  Request garbage collection to betide as soon as possible: This routine proves useful when the programmer knows he or she has a "break" to garbage collect. For example, after a big image is loaded into recollection and scaled, the recollection footprint is large. Forcing a garbage collection to occur at that point is wise. Another obliging belt may be after a big message has been processed in the application and is no longer needed.2.  Schedule garbage collection to occur at a fixed rate: This routine is optimal when the programmer does not occupy a specific minute when he knows his application can discontinue shortly and garbage collect. Normally, most applications are written in this manner.

    Listing 1 introduces a class named "BetterControlOfGC". It's a utility class that provides the methods described earlier. There are two public methods: "suggestGCNow()" and "scheduleRegularGC(milliseconds)" that respectively correspond to the steps described earlier. Line 7 suggests to the VM to garbage collect the unreachable objects as soon as possible. The documentation makes it lucid that the garbage collection may not occur instantaneously, but taste has shown that it will be performed as soon as the VM is able to accomplish the task. Invoking the routine on line 25 causes garbage collection to occur at a fixed rate as determined by the parameter to the method.

    In scheduling the GC to occur at a fixed rate, a garbage collection stimulator task, GCStimulatorTask, is utilized. The code extends the "java.util.timer" thread in line 10. No novel thread is created; the processing runs on the lone timer thread available genesis with the Java 1.3 environment. Similarly, to sustain the processing lean, the GC stimulator follows the Singleton pattern as shown by lines 18-23 and line 27. There can be only one stimulator per application, where an application is any code running on an instance of the JVM.

    We hint that you set the interval at which the garbage collector runs from a Java property file. Thus you can tune the application without having to recompile the code. Write some simple code to read a property file that's either a parameter on the command line or a resource bundle in the class path. situation the command parameter "-verbose:gc" on your executable command line and measure the time it takes to garbage collect. Tune this number until you achieve the results you want. If the budget allows, experiment with other virtual machines and/or hardware.

    Step 3: Store Persistent Objects into Persistent Data Areas or Store Long-Lived Objects in PoolsUsing persistent data areas is purely optional. It supports the underlying premise of this article. In order to bind the disruption of the garbage collector in your application, consequence its job easy. If you know that an remonstrate or collection of objects would live for the duration of your application, let the collector know. It would be nice if the Java environment provided some sort of flag that could be placed on objects upon their creation to bid the garbage collector "-keep out". However, there is currently no such means. (The Real-Time Specification for Java describes an belt of recollection called "Immortal Memory" where objects live for the duration of the application and garbage collection should not run.) You may try using a database; however, this may leisurely down your application even more. Another solution currently under the Java Community Process is JSR 107. JCache provides a benchmark set of APIs and semantics that allow a programmer to cache frequently used data objects for the local JVM or across JVMs. This API is silent under review and may not be available yet. However, they believe it holds much vow for the Java developer community. sustain this avenue open and in intellect for future architectures. What can they Do now?

    The pooling of objects is not novel to real-time programmers. The concept is to create entire your expected data objects before you launch processing, then entire your data can be placed into structures without the expense of instance creation during processing time. This has the edge of keeping your recollection footprint stable. It has the drawback of requiring a "deep copy" routine to be written to store the data into the pool. (If you simply set an remonstrate to another, you're changing the remonstrate reference and not reusing the identical space.) The nanosecond expense of the abysmal copy is far less than that of the remonstrate instance creation.

    If the data pooling technique is combined with the proper employ of the "nullify" technique, garbage collection becomes optimized. The reasons are fairly straightforward:1.  Since the remonstrate is set to null immediately after the abysmal copy, it lives only in the young generation portion of the memory. It does not progress into the older generations of recollection and thus takes less of the garbage collector's cycle time.2.  Since the remonstrate is nullified immediately and no other reference to it exists in some other collection remonstrate in the application, the job of the garbage collector is easier. In other words, the garbage collector does not occupy to sustain track of an remonstrate that exists in a collection.

    When using data pools, it's sane to employ the parameters "-XX:+UseConcMarkSweepGC -XX:MaxTenuringThreshold=0 -XX:SurvivorRatio=128" on the command line. These bid the JVM to travel objects on the first sweep from the novel generation to the old. It commands the JVM to employ the concurrent vestige sweep algorithm on the used generation that proves more efficient since it works "concurrently" for a multi-processor platform. For lone processor machines, try the "-Xincgc" option. We've seen those long garbage collector pauses, which occur after hours of execution, disappear using this technique and these parameters. Performing well in the long dash is the proper benefit of this ultimate step.

    Performance ResultsTypically, most engineers want proof before changing their approach to designing and coding. Why not? Since we're now suggesting that even Java programmers should be concerned about resource allocation, it better be worth it! Once upon a time, assembly language and C programmers spent time tweaking recollection and register usage to improve performance. This step was necessary. Now, as higher-level object-oriented programmers they may disdain this thought. This pattern has dared to imply that such considerations, although not as low flat as registers and recollection addresses (instead at the remonstrate level), are silent necessary for high-performance coding. Can it be true?

    The underlying premise is that if you know how your engine works, you can drive it better to obtain optimal performance and endurance. This is as proper for my 1985 300TD (Mercedes, five cylinder, turbo diesel station wagon) with 265,000 miles as for my Java code running on a HotSpot VM. For instance, knowing that a diesel's optimal performance is when the engine is warm since it relies on compression for power, I let my car warm up before I "push it." Similarly, I don't overload the vehicle with the tons of stuff I could situation in the tailgate. HotSpot fits the analogy. Performance improves after the VM "warms up" and compiles the HotSpot code into the autochthonous language. I besides sustain my recollection footprint rawboned and light. The comparison breaks down after awhile, but the basic veracity does not change. You can employ a system the best when you understand how it works.

    Our challenge to you is to grasp statistics before and after implementing this pattern on just a small portion of your code. gladden recognize that the gain will be best exemplified when your application is scaled upward. In other words, the heavier the load on the system, the better the results.

    The following statistics were taken after the pattern was applied. They are charted as:1.  Limited nullify routine invocation is used where only the incoming messages are not "nullified." (The remnant of the application from which the statistics were taken was left intact with a very rawboned recollection usage.) There is no forced garbage collection.2.  Nullify routine invocation and forced garbage collection is utilized.

    The test environment is a Microsoft Windows 2000 X86 Family 15 Model 2 Stepping 4 Genuine Intel ~1794MHz laptop running the BEA WebLogic Server 7.0 with Service Pack 7.1 with a physical recollection size of 523,704KB. The Java Message Server (JMS server), a track generator, and a tactical pomp are entire running on the identical laptop over the local developer network (MAGIC). The server makes no optimizations, even though each application resides locally. The JVMs are treated as if they were distributed across the network. They're running on the J2SE 1.4.1 release.

    The test target application is a Java undulate Tactical pomp with complete panning, zooming, and track-hooking capabilities. It receives bundles of tracks via the Java Message Service that are displayed at their proper location on the given image. Each track is approximately 88 bytes and the overall container size is about 70 bytes. This byte measurement does not include entire the additional class information that's besides sent during serialization. The container is the message that holds an array of tracks that contains information such as time and number of tracks. For their tests, the tracks are sent at a 1Hz rate. Twenty sets of data are captured.

    To illustrate the test environment, a screen capture of a 5,000 track load (4,999 tracks plus the ship) is shown in figure 1. The background shows tracks rendered with the Military benchmark 2525B symbology over an image of the Middle East. The small window titled "Track Generator Desktop" is a minimized window showing the parameters of the test set through the track generator application. Notice that 45 messages had been sent at the time of the screen capture. Directly beneath this window sits the Windows job Manager. Note that the CPU utilization is at 83%. At first this doesn't seem that bad. But at that rate, there isn't much leeway for the user to launch zooming, panning, hooking tracks, and so on. The final command window to the birthright is that of the tactical pomp application. The parameter "-verbose:gc" is placed on the Java command line (java -verbose:gc myMainApplication.class). The VM is performing the listed garbage collection at its own rate, not by command of the application.

    The final test of 10,000 tracks performed extremely poorly. The system does not scale; the CPU is pegged. At this point most engineers may jeer at Java again. Let's grasp another stare after implementing the pattern.

    After implementation, where the nullify methods are invoked properly and garbage collection is requested at a sporadic interval (2Hz), histrionic improvements are realized. The ultimate test of 10,000 tracks proves that the processor silent has plenty of leeway to Do more work. In other words, the pattern scales very well.

    Performance SummaryThe pattern to back control garbage collection pauses most definitely improves the overall performance of the application. Notice how well the pattern scales under the heavier track loads in the performance bar chart in figure 2. The darker middle bar shows the processor utilization at each flat of the message (track) load. As the message traffic increases, the processor utilization grows more slowly than without the pattern. The ultimate light-colored bar shows the improved performance. The main energy of the pattern is how well it scales under heavy message loads.

    There is another subtle energy to the pattern. This one is difficult to measure since it requires very long-lived tests. If Step 3 is faithfully followed, those horribly long garbage collection pauses that occur after hours of running disappear. This is a key benefit to the pattern since most of their applications are designed to dash "forever."

    We're confident that many other Java applications would benefit from implementing this very simple pattern.

    The steps to control garbage collection pauses are:1.  Set entire objects that are no longer in employ to null and consequence sure they're not left within some collection. "Nullify" objects.2.  obligate garbage collection to occur both:

  • After some major memory-intense operation (e.g., scaling an image)
  • At a sporadic rate that provides the best performance for your application3.  deliver long-lived data in a persistent data belt if feasible or in a pool of data and employ the usurp garbage collector algorithm.

    By following these three simple steps, you'll avoid those bothersome garbage collection pauses and indulge in entire the benefits of the Java environment. It's time the Java environment was fully utilized in mission-critical pomp systems.


  • Gupta, A., and Doyle, M. "Turbo-Charging the Java HotSpot Virtual Machine, v1.4.x to improve the Performance and Scalability of Application Servers": technicalArticles/Programming/turbo/
  • JSR 1, Real-Time Specification for Java:
  • Java HotSpot VM options:
  • Java Specification Request for JCache:

  • PCI DSS questions answered: Solutions to tough PCI problems | true questions and Pass4sure dumps

    During their recent virtual seminar, PCI DSS 2.0: Why the latest update matters to you, experts Ed Moyle and Diana...

    Kelley of SecurityCurve were unable to reply entire of the PCI DSS questions they received during their live question-and-answer session. has asked them to give brief responses to each of the unanswered questions, and we've published those questions and responses below to back you decipher your unique PCI problems.

    For additional information about the Payment Card Industry Data Security Standard, visit's PCI DSS resources page.

  • Where can they find information about PCI DSS compliance that is focused on those of us who are "Mom & Pop" shops?Since most small organizations Fall into the self-assessment category, a remarkable resource is the Security Standards Council SAQ (Self-Assessment Questionnaire) section. Specifically these documents:

    SAQ main page

    PCI DSS SAQ instructions and guidelines

    SAQ: How it entire fits together

    SAQ A-D and Guidelines

  • It seems the necessity of PCI compliance hasn't fully penetrated the Asian markets. Do you occupy any suggestions on how to achieve compliance for companies who Do trade in Asia, where adjusting to PCI standards aren't a priority?Companies should be compliant regardless of where the payment information is stored, processed or transmitted. Even if processors in a particular locale aren't as focused on the standard, the companies (merchants/retailers) with operations in those locales should implement the identical controls as they Do in other areas of the globe.

  • If card data is entered via the virtual terminal of a third-party on a desktop PC where wireless is not enabled, Do I requisite wireless scans?All wireless networks within the CDE (cardholder data environment) requisite to be scanned pursuant to the PCI DSS wireless guidelines provided by the Council. If audit and test findings verify there is no wireless on the virtual terminal and there is no wireless within the CDE, additional scans are not required (for example, note that the wireless scanning requirement is not addressed in SAQ C-VT specific to virtual terminal-only environments). Note, however, that if you employ other devices beyond just the virtual terminal to store/process/transmit cardholder data (such as a PoS on your network), you will occupy to scan.

  • Is there a benchmark for isolating non-compliant custom systems that Do not occupy a newer PCI-compliant version available? Let's assume this would be a software package without encryption in its database.There are two standards for payment software – the PA DSS for commercial software and the PCI DSS for commercial software with significant customization and custom software. If the custom software is saving PANs in an unencrypted format, it is non-compliant with PCI DSS. The best options are to discontinue saving the PANs and employ an alternative -- fancy masking, tokens or other unique identifier -- or find a artery to encrypt the PAN data before it enters the database. If this is not possible, create a document explaining why, list compensating controls (such as increased monitoring and access control) and Put in situation a road map for mitigating or eliminating the problem. Although the compensating controls/road map will not weigh in a fully compliant RoC or SAQ, it does complicated obliging faith on the section of the company to travail towards correcting the problem.

  • In terms of a policy strategy, should an enterprise's existing information security policies be amended to include PCI requirements, or Do the requirements requisite to be addressed in PCI-specific policies?In most cases the CDE (cardholder data environment) under PCI is a very small portion of the network and should be clearly zoned off from the ease of the corporate network activities. As a separate section of the network, a unique policy (or policy set) should apply for that zone. So PCI-specific policies should exist. However, parts of existing policy – for example tough password controls and reset – can be re-used in the PCI-specific policies where applicable.

  • Regarding encryption in requirement 3, if the decryption key is not present in the cardholder environment, is the system out of the scope of PCI?In the FAQ section of the Council site it states: "Encrypted data may be deemed out of scope if, and only if, it has been validated that the entity that possesses encrypted cardholder data does not occupy the means to decrypt it." So if the entity does not occupy the key, that data may be deemed out of scope.

  • Does PCI require verification that there are no rogue wireless access points that may occupy connected to the POS network?Yes. From the Council's Wireless Guidance: "These are requirements that entire organizations should occupy in situation to protect their networks from attacks via rogue or unknown wireless access points (APs) and clients. They apply to organizations regardless of their employ of wireless technology and regardless of whether the wireless technology is a section of the CDE or not." And, "The purpose of PCI DSS requirement 11.1 is to ensure an unauthorized or rogue wireless device introduced into an organization's network does not allow unmanaged and unsecured WLAN access to the CDE. The intent is to prevent an attacker from using rogue wireless devices to negatively impact the security of cardholder data. In order to combat rogue WLANs, it is acceptable to employ a wireless analyzer or a preventative control such as a Wireless Intrusion Detection/Prevention System (IDS/IPS) as defined by the PCI DSS."

  • Where is cataclysm recovery and trade continuity planning covered in the PCI DSS requirements, or is it?Disaster recovery and BCP are not explicitly called out in the 2.0 version of PCI DSS; however, incident response planning is. "12.5.3 - Establish, document, and dispense security incident response and escalation procedures to ensure timely and effective handling of entire situations." besides in the Penetration Testing supplement it states: "Perform testing in accordance with critical company processes including change control, trade continuity, and cataclysm recovery." And, in the Application Reviews and Web Application Firewalls Clarified it states: "Adhere to entire policies and procedures including change control, trade continuity, and cataclysm recovery."

  • Would you define "scope" as the geographical belt of the PCI servers? Or would you define "scope" as the SAQ requirements? It seems at times they are used interchangeably.The scope of the audit surface is the cardholder data environment (CDE). The CDE is "The people, processes and technology that store, process or transmit cardholder data or sensitive authentication data, including any connected system components." So any system component in the CDE is in scope regardless of geographic location.

  • Shared accounts are prohibited according to PCI DSS as I understand it, but imagine if you occupy your network equipment management outsourced and the firewalls and switches for the cardholder environment are managed by a third party or a service supplier. In this scenario, you would requisite two-factor authentication for administrative access to the CHE, but what if the service provider/supplier has several technicians and you are using RSA tokens? Do you occupy to supply one authentication account and one RSA token per technician? Or is it necessary only to supply one account and one RSA token for the service provider/supplier? You're birthright that shared accounts are prohibited by PCI DSS; Requirement 8 states: "Assign a unique ID to each person with computer access." Strictly speaking, to be compliant, a unique ID and two-factor token would requisite to be assigned for each person remotely administering the firewalls and switches.

  • Can you converse to some of the feedback you occupy received from clients who occupy implemented a tokenization product, including some of the key areas to focus on when selecting a vendor?We've received positive feedback from companies that employ tokenization in the CDE to reduce scope. One that they spoke to and occupy mentioned publicly is Helzberg Diamond Shops, Inc.. However, they caution that to be completely effective, organizations requisite to besides address scope reduction and zoning, document the tokenization implementation so it can be reviewed during audit, and verify with your acquirer/processor that tokenization is acceptable. For vendor selection, the Council is working on tokenization guidance, but Visa Inc.has already issued its recommended guidance, Tokenization Best Practices.
  • Speaking from a university standpoint, they grasp credit cards in many ways -- POS, Internet, MOTO – but they employ only PA-DSS applications and they are hosted by a service provider, so they Do not store any CHD. Their CHDE is really the PCs (and network) where the card data is entered or swiped. They occupy segmented entire system components (PCs where CHD is entered or swiped) away from their regular network. It appears that many of the PA-DSS requirements are in reference to "stored" credit card data. Can you give me some advice on how to determine how much of the requirements apply to us given that they Do not store CHD? They occupy secured entire components that occupy CHD entered and they are running PA-DSS-compliant applications.Sounds fancy you've done a lot of remarkable scoping work. The PA-DSS applies to applications, but entities silent requisite to be PCI DSS compliant. Since your applications are already PA-DSS compliant, focus instead on what matters to your university, which is attesting to PCI DSS compliance. If your transactions levels qualify you for self-assessment review, the self-assessment guidelines (please descry question 1 for more information) and determine which one applies and complete that. In general, if you Fall under multiple SAQs your acquirer/processer will want you to complete SAQ –D. However, to be sure, check with your acquirer/processor to confirm.
  • Can you proffer advice on what to stare for in an internal audit and reporting product for PCI DSS compliance?There are multiple audit and reporting implement types that can be used in PCI DSS compliance. For example, a penetration testing system will return reports on vulnerabilities and exposures in the CDE, while a patching system will return reports on patch information, both of which apply. In many cases, when organizations deem about a meta-console for reporting, it is a log or event/information aggregation console that brings together multiple reporting components for employ in PCI DSS compliance work. For any tool, stare for the talent to check for issues specific to PCI DSS (ex: password policy on servers and applications in the CDE) and report on these in a template that maps the finding to the specific requirement.

  • I occupy a question about PCI and the cloud. They are a PCI flat 1 merchant. They are thinking of piteous their data headquarters to cloud, Amazon to be specific. They understand that Amazon is PCI flat 1 compliant. Is it really possible to be a PCI-compliant flat 1 merchant in a cloud environment? Do you occupy any guidance regarding PCI in a cloud environment? Inc. (Amazon Web Services – AWS) is, as of this writing, a PCI DSS Validated Service Provider. However, using AWS, or any Validated Service Provider, does not purge the requisite to entity using the service to be PCI DSS compliant . As Amazon notes, "All merchants must manage their own PCI certification. For the portion of the PCI cardholder environment deployed in AWS, your QSA can reckon on their validated service provider status, but you will silent be required to satisfy entire other PCI compliance and testing requirements that don't deal with the technology infrastructure, including how you manage the cardholder environment that you host with AWS." So while a cloud provider can be third party validated as a PCI DSS provider, this doesn't weigh in they're certified to PCI or that entities using the service are automatically certified.

    If you are going to host some or entire of your CDE in the cloud, Do so with a compliant provider. However, don't forget to annually check that the provider is remaining compliant with your CDE, as well as the parts of your CDE that are hosted in the cloud. Additionally, according to the PCI Security Standards, your RoC must "document the role of each service provider, clearly identifying which requirements apply to the assessed entity and which apply to the service provider." And:

    "12.8 – If cardholder data is shared with service providers, maintain and implement policies and procedures to manage service providers, to include the following:

    12.8.1 – Maintain a list of service providers.

    12.8.2 –Maintain a written agreement that includes an acknowledgement that the service providers are amenable for the security of cardholder data that the service providers possess.

    12.8.3 - Ensure there is an established process for engaging service providers including proper due diligence prior to engagement.

    12.8.4 - Maintain a program to monitor service providers' PCI DSS compliance status at least annually"

  • In pains to ensure PCI compliance, they occupy a number of different products from different vendors, since there does not seem to be one complete PCI compliance "solution." Is this by design? Is there any edge to having each requirement met by a different vendor's product?There are a number of components in PCI compliance and they encompass people, process and technology, and span both the physical and the logical. Also, entire of the documentation related to policies and process. It would be extremely difficult (arguably impossible) for a lone solution to Do it all. The reality is that organizations employ a number of different vendor solutions for the technical controls.

    Some vendors provide products that meet different controls. For example, a vendor with a log aggregation or SIEM implement that besides sells antivirus/malware or patch management. The vast win is not necessarily to occupy entire tools (or many tools) from the identical vendor, but to be able to bring together reporting, logs, test and monitoring information in a centralized situation to consequence oversight and compliance monitoring more comprehensive and efficient.

  • How can companies deal with convoke recordings in the convoke headquarters when taking card payments by phone? Are there any mitigating factors?Because there is not a lot of convoke headquarters guidance in the PCI DSS, the Council addressed convoke headquarters issues in a special FAQ #5362. "The Council's position remains that if you can digitally query sensitive authentication data (SAD) contained within audio recordings - if dejected is easily accessible - then it must not be stored."

    Though this is not hosted on the PCI Security benchmark Council Domain -- it is the official FAQ for the Council and can be accessed directly by clicking in the FAQs link at the top of the official Council page.

    Also, gladden descry question below for additional information on storage rules regarding sensitive authentication data (SAD).

  • Our call-recording solution requires manual intervention to bleep out the CV2 number. Is this enough as a compensating control to meet the standard?

    If the CV2 (or any other sensitive authentication data/SAD) is not stored, this should meet the standard. Document how the manual process is implemented to ensure dejected is truly being deleted and not stored.

    Alternately, according to PCI Security Standards Council FAQ "If these recordings cannot be data mined, storage of CAV2, CVC2, CVV2 or CID codes after authorization may be permissible as long as usurp validation has been performed. This includes the physical and ratiocinative protections defined in PCI DSS that must silent be applied to these convoke recording formats."

  • If you occupy backups of credit card data in a secure location, is that a violation? How can it be mitigated?It's not a violation -- it is section of a requirement! Requirement 9.5 explicitly states: "Store media back-ups in a secure location, preferably an off-site facility, such as an alternate or back-up site, or a commercial storage facility. Review the location's security at least annually." bethink to consequence sure the data was encrypted before it was backed up and that the personnel at the facility Do not occupy the key to decrypt the data.

  • What are the rules for external scanning?External scanning is covered in Requirement 11.2.2 – "Perform quarterly external vulnerability scans via an Approved Scanning Vendor (ASV), approved by the Payment Card Industry Security Standards Council (PCI SSC).

    Note: Quarterly external vulnerability scans must be performed by an Approved Scanning Vendor (ASV), approved by the Payment Card Industry Security Standards Council (PCI SSC). Scans conducted after network changes may be performed by internal staff." 

    See the PCI Security benchmark for a list of ASVs

    Also helpful is the ASV Program Guide, and the ASV Client Feedback Form

  • PCI 2.0 lightly touches upon virtualization for the first time. Does this extend beyond virtual machine images to virtual appliances (e.g. employ of virtual firewalls & virtual switches in hosted products)?Yes, according to the Scope of Assessment for Compliance it does extend to virtual appliances. "System components" in v2.0 include, "any virtualization components such as virtual machines, virtual switches/routers, virtual appliances, virtual applications/desktops, and hypervisors." besides note that virtualization is mentioned in Requirement 2.2.1: Implement only one primary role per server, "Note: Where virtualization technologies are in use, implement only one primary role per virtual system component."

  • Is a system that is not holding the cardholder data, but only processing it (like a Web farm) a section of PCI audit requirements?Yes, if a system component stores, processes or transmits cardholder data or sensitive authentication data, it is section of the CDE and within scope of the PCI DSS audit. For additional guidance, refer to the Scope of Assessment for Compliance with PCI DSS requirements section of PCI DSS v2.0.

  • When Do companies occupy to switch over to PCI 2.0?For the absolute final word on compliance deadlines, check with your acquirer or specific card brand. In general, however, v2.0 went into consequence on January 1, 2011 and there is a year to comply with the novel standard. If you are in the middle of an assessment cycle that started in 2010 and the compliance assessment will be completed before the discontinue of 2011, you can continue the process with v1.2.1. If you a starting a novel assessment cycle in 2011, employ v2.0.

  • If an organization has filled out the self assessment questionnaire (SAQ) and identified that it has not complied with the 12 DSS requirements, should the SAQ silent be submitted? Or should the organization wait until the 12 requirements occupy been satisfied?Before admitting defeat, descry if there is any artery your organization can pick up to be compliant. Don't forget, if a non-compliant system or process is not essential, it could be scoped out of the CDE and out of the compliance surface. besides don't forget about compensating controls. The model is to be fully compliant, but compensating controls provide a artery for organizations to be mitigating risks as they travail towards implementing better controls.

    According to the Compensating Controls Appendix B in SAQ D v2.0: "Compensating controls may be considered for most PCI DSS requirements when an entity cannot meet a requirement explicitly as stated, due to legitimate technical or documented trade constraints, but has sufficiently mitigated the risk associated with the requirement through implementation of other, or compensating, controls." Also, there is a compensating control worksheet that needs to be completed in Appendix C of the SAQ D v2.0.

    If de-scoping the non-compliant system and compensating controls are not options, then you will requisite to check the "Non-Compliant" box on the SAQ and Put in a target date for compliance. In most cases, your acquirer/processor will want to descry this proof, and possibly hunt information from your organization to fill out the "Action Plan" section of the SAQ; however, check with your acquirer/processor to be sure.

  • Let's talk about the mythical beast that is end-to-end encryption. Does it exist? More specifically, one of their audience members asked, "What if end-to-end encryption from the pin pad / card swipe POS is implemented? Does that grasp everything out of PCI scope?"The Council is calling this P2PE for point-to-point encryption. acceptation turning the cardholder data into ciphertext (encrypting it) and then transmitting it, encrypted to a destination, for example, the payment processor. If the P2PE begins on swipe by cashier of the credit card at the PoS (point of sale) and continues entire the artery to the processor, it is not stored, and no one in the interim path has the keys to decrypt the data, then it could reduce the scope of the audit surface significantly. Caveats here are that everything will requisite to be implemented correctly, validated and tested. However, note that the entity silent must be PCI DSS compliant – though compliance may be greatly simplified. And, at this time, the PCI Security Standards Council silent deems P2PE an emerging technology and is formalizing official guidance, training QSAs on how to evaluate pertinent P2PE components, as well as considering creating a validated list of P2PE solutions. For more information on the status of P2PE, gladden read the Initial Roadmap: Point-to-Point Encryption Technology and PCI DSS Compliance program guide.

  • Under what circumstances can an internal audit certify a merchant as being PCI compliant?If the merchant qualifies for SAQ completion, internal audit can be amenable for the assessment and attestation process. "Each payment card brand has defined specific requirements for compliance validation and reporting, such as provisions for performing self-assessments and when to engage a QSA."

    If the merchant must complete a RoC, it is possible to Do the on-site assessment with an internal resource if the brand allows it. Check with your brand for specifics, Mastercard Inc., for example, has deemed that as of June 30, 2011, the "primary internal auditor staff engaged in validating PCI DSS compliance [must] attend PCI SSC ISA Training and pass the associated accreditation program annually."

  • What PCI and security implications Do you anticipate arising with the novel generation of contact-less cards, given that they are now being widely distributed?If the data can be transmitted in a secure encrypted format over the RF from the contact-less card to a secure endpoint, the data should not be exposed. However, if the data from the card is in clear-text over the air, sniffing attacks will be a major concern. Also, key management and MiTMs may be problems depending on specific technical implementations.

  • Are quarterly penetration tests silent required for wireless access points that are using WPA-2?Yes, quarterly tests are required. Requirement 11.1 covers entire known/unknown wireless access points regardless of protections on them. "11.1 - Test for the presence of wireless access points and detect unauthorized wireless access points on a quarterly basis." The understanding for this is that one of the intents of this requirement is to ensure there are no rogue devices in the CDE.

  • Does Citrix sessioning between payment apps and hosted sites provide enough encryption for PCI compliance?If the session is configured to transmit the data between the payment apps and the hosted site using an approved routine (ex: SSL/TLS ) then it should be compliant for at least the transmission portion of the standard.

    Requirement 4.1 -- "Use tough cryptography and security protocols (for example, SSL/TLS, IPSEC, SSH, etc.) to safeguard sensitive cardholder data during transmission over open, public networks."

  • How much are organizations spending on PCI compliance? Can you provide a purview both for one-time costs and annual maintenance?There are two sides to this coin: cost of the audit and cost of compliance overall.
  • Audit cost: According to a recent Ponemon survey on PCI DSS trends (.pdf), the average cost of the audit itself is $225,000 for the largest (Tier 1) merchants, but the cost can purview much higher or lower depending on complexity of the environment, size of the CDE, and other factors .

  • Overall cost of compliance: In 2008, Gartner conducted a survey of 50 merchants and found that PCI costs had been increasing since 2006 ( registration required) and cited costs averaging 2.7M for Tier 1 merchants, 1.1M for Tier 2, and 155k for Tier 3. Again, these are averages, so your particular case might be different.
  • Requirement 2.2.1 mandates that critical servers provide a single-purpose service. If I occupy a lone server hosting an e-commerce application with a Web server and database residing on a physical server, Do I requisite to situation the database on a separate server?Yes, in most cases. Requirement 2.2.1 – "Implement only one primary role per server to prevent functions that require different security levels from co-existing on the identical server." The intent of this requirement is to provide some protections if the underlying host, in this case the operation system running the database and e-commerce application is breached, causing one or both of the services to be exposed to attack. VMs are now allowed, so the identical piece of hardware could be used with a hypervisor to separate the two services across two VMs. Alternately, if there is a critical trade need, such as performance, for both primary functions to be on the identical server, reckon if this justifies a compensating control by completing the compensating control worksheet (Appendix C of the PCI DSS).
  • About the author:Ed Moyle is currently a manager with CTG's Information Security Solutions practice, providing strategy, consulting, and solutions to clients worldwide as well as a founding colleague of SecurityCurve.

    Diana Kelley is a colleague with Amherst, N.H.-based consulting arduous SecurityCurve. She formerly served as vice president and service director with research arduous Burton Group. She has extensive taste creating secure network architectures and trade solutions for big corporations and delivering strategic, competitive knowledge to security software vendors.

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