700-303 exam Dumps Source : Advanced Borderless Network Architecture Systems Engineer
Test Code : 700-303
Test denomination : Advanced Borderless Network Architecture Systems Engineer
Vendor denomination : Cisco
: 96 existent Questions
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ROSEMONT, IL--(Marketwired - Apr 23, 2014) - LaSalle options, a number one company of existence-cycle management services for expertise and capital assets, introduced today that it has recertified in perquisite here Cisco superior specializations: superior information core Specialization, advanced without borders network structure Specialization and advanced Collaboration structure Specialization. These specializations admire LaSalle options as having fulfilled the training necessities and application necessities to promote, design and set up complete Cisco® records middle, without borders network structure, and Collaboration architecture options.
The recertification comes on the heels of LaSalle solutions' coincident consciousness as the Cisco® capabilities confederate of the yr for the U.S.. This prestigious award recognizes exemplary companions, like LaSalle options, who pomp gold standard-in-classification company practices and duty a model to the industry.
"Our recertification for these vital specializations with Cisco demonstrates LaSalle options' dedication to providing their consumers with unmatched efficiency, lore and service," talked about Steven Robb, president of the solutions neighborhood at LaSalle solutions. "As they proceed to sell, design, bring and assist Cisco facts center, without borderlines community architecture and Collaboration structure options, these specializations will permit their crew of specialists at LaSalle options to assist their purchasers meet the enterprise challenges of state-of-the-art ever-altering marketplace."
advanced data core Specialization The specialization provides function-primarily based practising in three fundamental areas: Unified cloth for optimizing information and storage needs; Unified Computing for streamlining data heart elements and uniting network, computational, storage and virtualization systems, and Unified network services for advancing the course software birth and safety features are provided within the records core network or computing atmosphere.
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The recertifications build on a few Cisco-connected milestones LaSalle options has in the past executed, together with:
About Cisco Cisco is the worldwide leader in networking that transforms how people join, talk and collaborate. information about Cisco will also breathe establish at http://www.cisco.com.
About LaSalle options headquartered in 1980, LaSalle solutions is a leading issuer of existence-cycle management functions for know-how and capital assets. These capabilities consist of acquisition and financing, IT asset administration, maintenance contracts management, remarketing and disposition. LaSalle solutions' approaches, stunning client carrier and strong, market-main cloud-primarily based toolset, LAMP, allow customers to extra economically and with no peril manage and diagram to fulfill their desires.
LaSalle options is an independently operated company and a subsidiary of MB economic bank, a publicly traded Chicago-primarily based pecuniary institution protecting company. MB fiscal is traded on the NASDAQ as "MBFI." For greater information on LaSalle options, tickle visit www.elasalle.com and www.YouTube.com/LaSalleSolutions.
LaSalle solutions and LAMP are registered logos of LaSalle options within the united states. Cisco, the Cisco brand and Cisco techniques are registered logos of Cisco systems Inc. within the united states and likely different international locations.
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partners: they occupy a services offering where you could learn how to sell it to your client base (Cisco CCOID is required).
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ROSEMONT, IL--(Marketwired - March 08, 2016) - LaSalle solutions announced today that it is as soon as again the recipient of a Cisco associate apex award for functions associate of the yr, Americas relevant. Cisco presented the award at a reception held total the course through its annual companion summit, which took region Feb. 29 - March 3 in San Diego.
Awarded to exemplary channel companions, the Cisco accomplice apex Geographical location awards are designed to value most reliable-in-type company practices and serve as a model to the industry within their respective regions. Areas of consideration consist of imaginitive practices, architecture-led approach successes, strategic business outcome-concentrated courses, seizing recent opportunities and revenue methods.
The Cisco companion apex awards the right-performing partners within particular expertise markets across total nation-states. Award recipients are selected with the aid of a bunch of Cisco international companion organization and regional executives.
"we're honored to once more gain hold of the considerable residence capabilities confederate of the year award," spoke of Steven Robb, president of the options neighborhood at LaSalle options. "LaSalle is committed to proposing ideal-in-classification options to their purchasers, and we're haughty to occupy a associate like Cisco that both acknowledges and shares their dedication. They show forward to their continued collaboration with Cisco and the outstanding results it will continue to produce."
LaSalle options is a Cisco Gold certified associate with Cisco master Specializations in safety and Collaboration. The enterprise holds Cisco superior Specializations in without frontier lines network architecture Specialization, Collaboration structure Specialization and facts middle structure. additionally, LaSalle solutions holds Cisco approved technology issuer (ATP) designations in application Centric Infrastructure, TelePresence Video master, ServiceGrid, records Virtualization Reseller, power administration Suite Integrator and identity services Engine.
LaSalle solutions become named U.S. valuable vicinity business associate of the 12 months in 2015, Cisco features confederate of the year in 2014, valuable zone Cisco capabilities confederate of the 12 months from 2010 to 2013 and has acquired the Cisco customer satisfaction Excellence Award for 40 consecutive quarters.
About LaSalle solutions
based in 1980, LaSalle options is a leading issuer of expertise life-cycle asset management capabilities. LaSalle permits its consumers to enrich their expertise operations via better approaches, management and reporting for greater planning and recur on investment. LaSalle options' approaches, spectacular client provider and strong, market-leading cloud-based toolset, LAMP, enable shoppers to achieve more suitable business outcomes via transparency and respectable effects at their fingertips.
LaSalle options is a subsidiary of MB fiscal pecuniary institution, N.A., a commercial pecuniary institution headquartered in Chicago, Illinois. MB economic, Inc. is the publicly traded maintaining business for MB economic pecuniary institution, N.A. and is traded on the NASDAQ as "MBFI."
For extra tips on LaSalle solutions, tickle talk over with www.elasalle.com and www.YouTube.com/LaSalleSolutions.
LaSalle solutions and LAMP are registered logos of LaSalle solutions in the u.s..
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Artificial intelligence is migrating from the cloud to IoT edge devices. Now the question is how to apply that same technology to protect data and identify abnormal activity in those devices and the systems connected to them.
This is a involved problem because AI is being used on multiple fronts in this battle, as well as for multiple purposes. The technology has advanced to the point where energy-efficient neural networks can breathe built on silicon, and that has raised a number of questions and issues that will exigency to breathe resolved. Among them:
The common consensus through the first half of 2018 was that AI training, as well as most inferencing, would occur primarily on massively parallel server farms. Edge devices would breathe collectors of raw data, but the vast majority of processing would occur in the cloud, with immaculate data pushed back down as needed. That perspective changed as the electronics industry began realizing just how much data would occupy to breathe moved if the data was not scrubbed, and how expensive and time-consuming that would be. And underlying total of this is concern about privacy rights for some or total of that data.
A half-year later, a flurry of startups and established companies are developing edge-based AI chips and systems that embrace everything from novel AI architectures to traditional computer architectures with an AI component. It also has spawned activity at the IP level, which helps intricate why Arm launched an AI processor as an IP block.
The next step is to apply AI for a number of recent applications, and that trouble is just beginning. More AI at the edge, coupled with more devices being connected to the Internet, has opened the door for more AI-based security.
“Today, there is no consistent gauge across the IoT, making it difficult to protect from the evolving threat landscape,” said Paul Karazuba, senior director of product marketing at Rambus. “Making security the foundation of the OEM’s design process ensures products Come to market with consumer safety in mind. One manner of achieving this is basing device security on a hardware root of trust. When implemented with a layered security approach, it offers robust protection against a wide attain of threats. That allows organizations to secure devices throughout the product lifecycle from device manufacturing total the course to end-of-life decommissioning.”
A second manner is to exhaust AI to provide that security, and there are a number of ways this can breathe done. “First, is providing security for an IoT service,” said Jeff Miller, senior product marketing manager at Mentor, a Siemens Business. “Second is the actual security services enabled by IoT, including better intrusion detection systems on a network or pan recognition systems that avoid on security cameras—or better authentication systems that exhaust multiple factors to try to authenticate people as they approach the door.”
Moving sensitive data to the edge can occupy a positive repercussion on both security and privacy. “We hear about data breaches, which typically occur in transit or in the cloud where data is stored and aggregated,” said Miller. “So the more processing done at the edge, and the less sensitive information being sent outside the edge device, the more secure the world they live in. Compartmentalizing secure information and keeping it where it was collected, and then throwing away the sensitive parts, is going to breathe a very considerable allotment of both IoT security as well as IoT acceptance in a lot of situations. This is something where machine learning and AI really hold a lot of promise. It’s this detection of things that you can’t achieve your finger on it, but know something isn’t perquisite here. People accomplish a very excellent job of that, but so far machines haven’t unless it’s really obvious what is unusual.”
Machines also potentially can improve authentication and exception detection, including both the security services and the services trying to breathe secured. But trying to accomplish total of this centrally can breathe problematic because not total devices are connected total the time, and even when they are connected the accelerate of data communications can vary greatly.
“These things exigency to breathe autonomous and exigency to breathe robust against loss of connectivity,” Miller noted. “Think about cars. You wouldn’t want significant portions of your car’s functionality to shut down when you entered a parking garage or a tunnel and lost signal. Some of these systems truly exigency to breathe autonomous or at least capable of periods of autonomous operation. That’s a much argument for edge processing. You exigency it to deliver the service that you exigency at the property of service that your customers expect from it.”
Yet another understanding to accomplish data processing at the edge and accomplish a lot of ML processing at the edge is just sheer bandwidth. If there are 1,000 cameras streaming data, no system today can handle that effectively.
“Architects of these IoT systems are going to occupy to occupy a really solid understanding of machine learning, and that is a challenging concept to gain your head around,” he said. “So they will occupy to deem difficult about how AI and machine learning change the applications of what can breathe done. This also opens up recent ways to enable services on top of IoT networks that exist or are being planned, because there are more ways to exhaust this data to gain actionable insights. ‘We’re collecting total this data, so let’s accomplish something useful with it. Let’s exhaust machines to process that and give insights to humans or, create non-obvious actions from total of that data.’ And that has to breathe known to the architects of these systems.”
AI security issuesThere is tremendous potential for this recent kind of programming paradigm, and models currently are being developed for neural net architectures.
“There’s lots of interest in biometrics, whether it is pan recognition or advanced fingerprint recognition, voice biometrics, among others,” said Mike Borza, member of the technical staff for Synopsys security IP. “There are also total kinds of other applications that are really interesting, such as the obvious crossover into the automotive markets because of total the image processing that needs to breathe done in autonomous vehicle driving. There is lots of other signal processing, as well as the exigency to accomplish that at very elevated levels of confidence. As people are busy getting systems up and running, they are starting to recognize some of the challenges that remain to breathe solved.”
One of these is that the performance of a neural network is extremely relative on the property of the data used for training the system. “That means the integrity of total of the data sets around there is crucial,” Borza said. “What people occupy establish is that if you gain miniature changes to bias the training data, or changes to the input data that bias, the network can respond with large-scale disturbances to its behavior. This fact makes the case about being concerned with the integrity of that data, and the easiest and most error-free course to deal with that is to exhaust cryptographic authentication of that kind of data.”
But AI has its own potential security holes. Borza said that some teams occupy been so focused on solving other problems that they haven’t paid much attention to security. “A lot of them haven’t thought about how somebody might exhaust that fragility to assail their product or the users of their product and how it could breathe viewed. Some of those teams occupy only just started to deem about it. We’ve been dealing with some teams now that are on their second generation of products. Their customers are adage that they like the functional performance and conduct of the product, but they now exigency to occupy some assurance that it’s actually behaving properly and using the data that it’s reputed to breathe using, and that that data is intact.”
As a result, these companies are coming to realize on their own, or are being told by their customers, that security is now essential. That includes both software, and in the case of embedded systems, embedded hardware. Novel solutions for in-circuit monitoring from companies such as UltraSoC and Moortec converse to the different types of embedded analytics technologies coming to market.
“When you gain into the datapath of these products, the performance levels require hardware security features in order to breathe able to accomplish the processing in a timely fashion, so we’re seeing things like inline memory encryption becoming more interesting,” Borza said. “In some cases, people want cryptographic authentication on that encrypted memory to gain certain that the encrypted data isn’t being manipulated. Also, the model itself is stored and encrypted in authenticated form, then signed with a public key, which needs to breathe decrypted and placed securely into the neural net processor. The authenticity of that needs to breathe checked because you don’t want to breathe loading a model that has been manipulated by somebody else. With these types of things, approaches used in other secure processing systems are starting to exhibit up in the chips that are implementing neural nets.”
An considerable consideration perquisite now, especially with everything so fluid and with advances being made very quickly, is that people will occupy to continue to update models for the foreseeable future.
“We’re going to espy some evolution in those products and the architectures, but you’re not likely to espy dedicated networks that are just one nature of network,” Borza said. “You’re unlikely to espy a dedicated residential model or something like that. There are network chips capable of being reconfigured to implement that network architecture, and then the models that are derived on that network architecture or the representation of the algorithms is being distributed to the realm to devices that are actually installed. They anticipate people will update those models, especially in fast-moving areas or things that are going to improve as more data is collected, and then those updates will breathe distributed. But that update needs to breathe protected in terms of its confidentiality, and especially in terms of its integrity. You want the recent model that’s distributed to breathe the exact one that you’ve calculated and that you sent to the field.”
The edge and beyondThe edge has emerged as a particular security concern because some of these devices can assassinate you.
“It’s cars and robots and medical devices,” said Kurt Shuler, vice president of marketing at Arteris IP. “These things can assassinate you two ways. A cosmic ray can antecedent a bit to flip, and things proceed awry. The other course is that the AI may toil as intended, but what it decides to accomplish from its neural net application is the wrong thing. In that case, the safety of the intended duty is bad.”
There’s even a recent spec just for this: “ISO/PAS 21448:2019 Road vehicles — Safety of the intended functionality.” That captures how to analyze these AI powered systems going into cars, so they works as designed.
Security can repercussion total of these systems. “There’s a totally sunder set of specs, and a totally sunder set of Ph.D. geeks working on safety and on security,” said Shuler. “What’s disconcerting is that the effects of any of these things, especially from a functional safety standpoint and a security standpoint, can breathe the same. Whether a bit flips or an engineer flipped a bit, someone can gain hurt. Yet these sets of experts don’t really talk to each other too much. This was addressed in the recent ISO 26262 2018 specification that came out in December, which includes specific text to address this. It basically says you must coordinate with security guys, but unless security is another mandated to a certain plane — like functional safety is in cars and trains and other verticals — nobody really cares. It’s like insurance. Nobody wants to pay for too much security.”
Additionally, the more security that’s added to a system, the greater the potential performance hit and the more complicated the progress task. And at least at this point, liability for needy security is limited, Shuler noted. “What is my responsibility if somebody hacks into this thing? Will I actually gain in peril for it or gain sued? Is my company going to breathe shut down? Am I going to proceed to jail?’ The retort to most of those is no.”
This is yet another argument for keeping data local.
“When it comes to security, the understanding why they occupy AI is because they occupy so much data available and it’s sitting somewhere,” Shuler said. “As they achieve more systems in the field, like vision systems, they’re not only acting based on a model that they occupy and saying, ‘That’s a quit sign,’ or, ‘That’s a Little kid crossing the street.’ They’re also taking in recent information that they don’t recognize and firing it up to the data center. Then, the data heart is taking total of that information and drawing recent inferences. That data store becomes a huge target for security. It’s a huge target because you’ve got your fingers on that. You can hook total the credit card numbers in the world. You can influence elections. You can mess with the pecuniary system. You can delete everybody’s medical records or contemplate at everybody’s medical records. It provides such a wonderful meaty target if it’s not protected well, and it has been demonstrated that IT guys at insurance companies and Facebook and credit card companies are not excellent at protecting that data.”
ConclusionAI, machine learning and deep learning are not recent concepts, but they are being applied in recent ways, including keeping the very data that makes AI practicable in the first place. But this is total silent in the early stages of development. The entire AI ecosystem must Come together to devise cohesive solutions for exact data security, and that stretches well beyond the individual devices that contain the data.
Related StoriesBuilding Security Into RISC-V SystemsEmphasis shifting to firmware, system-level architectures, and collaboration between industry, academia and government.Finding Security Holes In HardwareEmphasis on performance, backward compatibility and system complexity are creating vulnerabilities that are difficult to fix.Tech Talk: HW SecurityHow to minimize the risk of hardware attacks in the shadow of Meltdown and Spectre.IoT Device Security Makes late ProgressWhile attention is being paid to security in IoT devices, silent more must breathe done.Are Devices Getting More Secure?Manufacturers are paying more attention to security, but it’s not lucid whether that’s enough.Why The IIoT Is Not SecureDon’t blame the technology. This is a people problem.
(This article is allotment of an IT Career tidings series called “Your Next Move.” Each article will embrace the responsibilities, qualifications, related job titles, salary attain for the role, job prospects and how to gain there.)
As you scoot up the cybersecurity career ladder, you can remain immersed in hands-on cybersecurity or scoot into more of a strategic role. If you’re looking for big-picture thinking and want to design security systems for an organization, a job as a security architect might breathe for you. Security architects collaborate with business leaders, engineers, developers and more to protect an organization from cyberthreats.
What Is a Security Architect?
A security architect develops and maintains the security of an organization’s network. The job may embrace the following responsibilities:
A security architect creates involved security structures to gain certain the company’s computer systems remain safe. It’s a senior-level position generally, leading a team of security experts. In very great companies, there may breathe promotion opportunities such as chief security architect or senior security architect.
A security architect must occupy a thorough understanding and lore of the company’s technology and information systems in order to provide the usurp plane of security. A security architect also communicates with the chief information security officer (CISO) about any threats or problems that could occur.
Security Architect vs. Security Engineer
Although they toil together closely, a security architect is generally more senior than a security engineer. Security architects set the vision for security systems, and engineers device out how to achieve it into practice. Security engineers could scoot into security architecture roles if they want to transition from hands-on cybersecurity into policy and governance.
Security architects silent exigency to preserve their skills current so they fully understand the latest techniques and how to preclude the newest threats. Although it may no longer breathe their main responsibility, security architects should occasionally test their skills through wargames or capture the flag activities.
How to Become a Security Architect
Most companies hiring a security architect are looking for someone with a bachelor’s degree in computer science, cybersecurity, information technology or a related field. Some companies may require a master’s degree as well.
Security architect’s may occupy worked their course up to their position through jobs such as security administrator, network administrator and security analyst.
Certifications like CompTIA Network+, CompTIA Security+, CompTIA Cybersecurity Analyst (CySA+) and CompTIA Advanced Security Practitioner (CASP) can aid you along your course as you scoot up to a position as a security architect, Check out the CompTIA Career Roadmap to espy what other certifications can aid you become a security architect.
Security Architect Salary Range: The middling salary for security architects is $129,000, according to Burning Glass Technologies Labor Insights.
Security Architect Job Outlook: When it comes to require for cybersecurity jobs, security architects are on the low end, with nearly 7,000 job postings from January to September 2018, according to Burning Glass Technologies Labor Insights. Given the advanced plane of the position, it's not surprising that there are fewer jobs available than for other jobs, like cybersecurity analyst.
Job Titles Related to Security Architect:
(This post originally appeared on the CompTIA blog site, which can breathe viewed here).Jessica S. Frank
Jessica S. frank is a freelance journalist and college professor, and a contributor to the CompTIA blog. She lives outside of Chicago.
Space Based Infrared System early warning satellite. Credit: Lockheed Martin
Early warning and communications satellites that uphold the NC3 system are vulnerable to electronic attacks and interference.
WASHINGTON — A recent report released on Thursday on Capitol Hill makes the case for billions of dollars in investments in the nation’s nuclear command, control and communications network known as NC3.
The report was co-produced by the Air compel Association’s Mitchell Institute and the MITRE Corporation. It cautions that while the United States is investing in a recent generation of nuclear missiles, submarines and bombers, it will lack a “credible nuclear deterrent if it does not also possess a nuclear command and control system that provides ‘no fail’ communications to nuclear forces in a future environment that will embrace unique threats and challenges.”
MITRE senior vice president William LaPlante, one of the authors of the report, said the NC3 system today works fine but it needs to transition to a recent architecture so it can breathe integrated with the cutting-edge nuclear platforms that the Pentagon is developing such as the Columbia-class ballistic missile submarine and the B-21 stealth bomber. The problem essentially is that these are 21st century weapon systems whereas NC3 silent uses technology from the 1970s.
The NC3 system includes warning satellites and radars; communications satellites, aircraft, and ground stations; fixed and mobile command posts; and the control centers for nuclear systems.
The report says the early warning and communications satellites that uphold the NC3 system are vulnerable to electronic attacks and interference. Satellite constellations such as the Space Based Infrared System and the Defense uphold System are the basic tactical warning systems of the NC3 enterprise. The 1970s-vintage DSP satellites will breathe out of service in a few years. The newer SBIRS satellites are more advanced but the Pentagon worries that they could breathe targeted with counterspace weapons.
When SBIRS was conceived, the thinking was that satellites in higher geosynchronous orbits were off limits to attack. “Today, however, space, even in the geosynchronous realm, is no longer a sanctuary,” the report cautions. “Space congestion increasingly puts U.S. national security space assets at risk and has the potential to create radio interference for data transmitted to and from these assets. But most disturbing and profound is the conclude of space as a sanctuary domain — space is likely to breathe a battleground.”
The same concerns apply to communications satellites. The defense satellite communications system (DSCS) and the advanced extremely elevated frequency satellite system (AEHF) operate in geosynchronous orbit. “This is a recent threat to NC3 that did not exist during the frigid War, and that the legacy NC3 system did not account for in its design,” the report said. “The next-generation NC3 system will occupy to mitigate, either with countermeasures or replacements, the threats to NC3-related satellite constellations such as SBIRS, AEHF, and DSCS.”
The Mitchell Institute and MITRE wrote the report in an trouble to aid build uphold for the massive investments that would breathe needed to bring NC3 up to date. The Congressional Budget Office estimated the Pentagon will exigency to expend $77 billion from 2019 to 2028 to maintain and update NC3 — about $19 billion more than the 2017 estimate. CBO further cautioned that the $77 billion estimate is probably conservative because much remains unknown about the Pentagon’s plans to acquire recent satellites and airborne command centers.
LaPlante said Congress will occupy to find the money to pay for this. “We don’t occupy a choice as a country,” he said. The NC3 system “has been studied a lot, its life has been extended as long as they could, and that’s where they are.”
The responsibility to device out how to scoot forward with NC3 falls on U.S. Strategic Command. STRATCOM Commander Gen. John Hyten said he wants to espy fresh ideas on how to create a NC3 enterprise architecture. LaPlante calls this a project of unprecedented complexity. NC3 is made up of more than 100 acquisition programs across the military services and the Defense Department.
Hyten in July took over responsibilities for NC3 modernization that used to belong to the Air compel Global Strike Command. He was expected to attend the rollout of the report but had a scheduling conflict. In his residence was Maj. Gen. Stephen Davis, STRATCOM’s director of global operations. Hyten has made NC3 a top priority and wants to gain the nation’s best minds to toil on a diagram for what comes next, Davis said. STRATCOM will create an “NC3 Enterprise Center” to coordinate efforts.
This project could gain complicated for STRATCOM. As a combatant command, STRATCOM has authority over requirements, so it can achieve forth an NC3 wish list. But combatant commands occupy limited influence over budgets and acquisition programs. “Hyten needs somebody to accomplish that for him,” said LaPlante. “For NC3, you exigency an overall systems architecture. And this is a huge systems engineering challenge.”
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