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C2010-517 - IBM Workload Automation V9.2 Implementation - BrainDump Information

Vendor Name : IBM
Exam Code : C2010-517
Exam Name : IBM Workload Automation V9.2 Implementation
Questions and Answers : 70 Q & A
Updated On : July 18, 2018
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[OPTIONAL-CONTENTS-1]

IBM Workload Automation V9.2

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construct a cognitive alert gadget for your IT operations | killexams.com real questions with brain dumps

combine IT provider administration with AI services on an IoT equipment

Monitoring equipment nowadays commonly send signals through incidents or e mail notifications. commonly, even though, IT groups want a more visually perceptive strategy. as an instance, when an incident or e-mail is received, or an action from an IT service administration device happens, the IT operator wants both an audible signal on a speaker or a visual signal on a lamp. These styles of alerts mean that operators now not need to retain an eye on the reveal or their smartphones.

implementing a solution that integrates carrier management methods with these styles of gadgets can also be reasonably complicated reckoning on the latest structure. this text demonstrates the way to use a in your price range set of hardware (a Raspberry Pi in a TJBot robot) and Watson APIs, IBM Watson IoT Platform, and other IBM Cloud capabilities to build a cognitive alert gadget to your IT operations.

Demo use case: cognitive alert device

in this use case, a corporation has their total SAP batch workflow computerized with IBM Workload Scheduler. The operations group wants to be alerted in case of abends. For essential signals, the team wishes a lamp grew to become on and the operator to be called. however, if the operator is already current, they want best the visual indicators to be triggered; it is, no name-out to be initiated.

IBM Workload Scheduler gives a plug-in for MQTT, which will also be used to connect to an MQTT broking service (just like the one in Watson IoT Platform) and subscribe to instruments, submit messages, and send instructions. groups can construct an IoT gadget (equivalent to a TJBot with a Raspberry Pi, together with a digicam and sensors), and then use this IBM Workload Scheduler plug-in for MQTT to control the IoT gadget.

determine 1 indicates the intended architecture for this answer. IBM Workload Scheduler sends MQTT submit messages to Watson IoT Platform for each abend. TJBot has a local Node-red app listening for these messages and reacts to these MQTT message themes. TJBot leverages its sensors and is configured to blink the LED gentle, to wave its arm through the use of the servo motor, to take a picture and use Watson visible awareness service to verify if it sees a face, and at last to trigger either name-out notifications by using the Twilio service (if no face is detected) or use the Watson text-to-Speech service to communicate messages the usage of its speaker (if a face is detected).

determine 1. architecture for the cognitive alert system IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image001.png" class="IBM-downsize" alt="Architecture for the cognitive alert system" height="493" width="1158"/> What you’ll deserve to build this app
  • An IBM Cloud account. which you can request a free trial right here. IBM Cloud offers the Watson IoT Platform, an MQTT message broker that acts as asynchronous glue between all add-ons.
  • A Twilio developer's account. that you could sign up for free right here. Twilio is a developer platform for communications used to add capabilities like voice, video, and messaging to functions.
  • IBM Workload Scheduler account. in case you won't have entry to an on-premises IBM Workload Scheduler instance, that you can subscribe to a 30-day free trial. IBM Workload Scheduler automates, monitors, and controls workflow all over the commercial enterprise IT infrastructure.
  • A TJBot. the key component of the use case is building a TJBot, an IoT equipment that makes use of a Raspberry Pi. To build your TJBot, that you can watch a video, examine the GitHub guidelines, or comply with the Instructables recipe. (Brian Innes, a Watson IoT Platform developer recommend, is producing a fingers-on IoT video sequence that steps you through building your personal bot, which may additionally prove constructive in developing your own TJBot.)be aware: in case you lack some elements to build a complete TJBot, that you could get via with only a Raspberry Pi, a speaker, and a digital camera.
  • Eclipse Paho MQTT client, used to communicate with the MQTT message broker.
  • 1

    Configure your Raspberry Pi

    The Raspberry Pi used along with your TJBot needs to be in a position to communicate with Watson IoT Platform, the MQTT broking service, so that you deserve to installation the Eclipse Paho MQTT client to entry the MQTT libraries.

  • check to peer if your setting up of Raspbian, the free working equipment in accordance with Debian optimized for the Raspberry Pi hardware, has libssl 1.0 or later installed (more moderen Raspbian types come with 1.1): #dpkg-question -l | grep libssl
  • if you won't have it put in, run these commands to down load and deploy it: #wget http://ftp.us.debian.org/debian/pool/leading/o/openssl/libssl1.0.0_1.0.1t+deb8u6_armhf.deb #sudo dpkg –I libssl1.0.0_1.0.1t+deb8u6_armhf.deb
  • After you get the suitable MQTT customer put in, get the MAC tackle of your Raspberry Pi. you utilize it later to register it on Watson IoT Platform. Enter this command: #service iot getdeviceid
  • since the use case requires processing to be carried out locally, I've ported TJBot's sensors to Node-pink for effortless connection between the accessories.
  • update Node-red for your Raspberry Pi. As person pi run command: #update-node-js-and-nodered
  • set up these further Node-crimson modules. Watch this video for guidance on installing.
  • rpi-ws281x-native
  • node-crimson-node-pi-neopixel (For LED services)
  • node-purple-contrib-speakerpi (For speaker)
  • node-red-contrib-camerapi (For digital camera)
  • node-crimson-contrib-micropi (Microphone trap)
  • node-purple-node-twilio (Twilio node to function call-out)
  • node-red-node-watson (Watson features APIs)
  • node-crimson-node-cf-cloudant (Cloudant database)
  • node-crimson-contrib-IBM-watson-iot (Watson IoT service)
  • node-red-contrib-scx-IBMiotapp
  • node-pink-contrib-gpio (For servo manage)
  • rasp-io
  • 2

    Create a Watson IoT Platform service in IBM Cloud

    IBM Workload Scheduler needs to hook up with Watson IoT Platform to publish MQTT message issues. TJBot, which is the usage of the IBMiot node in its Node-crimson app, receives the activities despatched by IBM Workload Scheduler and appears for messages in the subject matter. You should request the IoT service the use of Watson IoT Platform in IBM Cloud to thoroughly enable TJBot.

    you are going to use the internet of issues Platform Starter boilerplate since it deploys 4 features as a part of your app: web of things Platform, IBM SDK for Node.js, Node-pink, and Cloudant.

    2a

    Register the Raspberry Pi equipment on the cyber web of things Platform carrier

  • Log in to your IBM Cloud account.
  • From the IBM Cloud Dashboard, click on Catalog.
  • From the left menu pane, beneath Platform, opt for information superhighway of things. Then choose the web of things Platformservice.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image002.png" class="IBM-downsize" alt="screen shot" height="293" width="696"/>
  • outline a provider name corresponding to iot-raspberry, and click Create.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image003.png" class="IBM-downsize" alt="screen shot" height="562" width="1119"/>
  • click on Launch to open Watson IoT Platform.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image004.png" class="IBM-downsize" alt="screen shot iotf-service-launch" height="431" width="1018"/>
  • From the left menu pane, click contraptions, and then click the machine forms tab. equipment varieties group contraptions which have identical qualities; as an example, that you may neighborhood your entire Raspberry Pis collectively.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image005.png" class="IBM-downsize" alt="screen shot" height="404" width="985"/>
  • click Add device class.
  • in the name container enter tjbotiot.
  • click next, achieved, and then Register.
  • After the gadget class is created, add your Raspberry Pi gadget.
  • The select latest equipment category should checklist the gadget category you just registered: tjbotiot.
  • within the gadget identification box, enter a special identity; for example, myraspberry.
  • settle for the default settings on the next three panels to comprehensive the machine credentials, which you want later to configure the MQTT Paho customer.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image006.png" class="IBM-downsize" alt="screen shot credentials_tjbot" height="152" width="565"/>
  • 2b

    Request an API Key from Watson IoT Platform for IBM Workload Scheduler

    because the Node-red installing on TJBot is gaining access to Watson IoT Platform, IBM Workload Scheduler has to make use of a unique credential to connect to Watson IoT platform. for this reason, you deserve to request an software API Key from Watson IoT Platform so that it may possibly submit MQTT message issues the use of these credentials.

  • within the Watson IoT Platform, from the left menu pane, click Apps.
  • click on Generate API Key, after which click on Generate. bear in mind your key to make use of later to configure the IBM Workload Scheduler (as an example, a-n7ha45-vzj07dmv6p).IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image007.png" class="IBM-downsize" alt="screen shot API Key" height="360" width="441"/>
  • You’ll use these credentials later when you configure your Node-purple app.

    2c

    Add Watson services to your app

    finally, you need to add some Watson functions to your app to get the brains into your cognitive alert device. These capabilities assist determine if a person is at the desk the place your TJBot is and let TJBot communicate its alerts.

  • within the IBM Cloud catalog, look for and add these capabilities to your app:
  • visible recognition
  • text-to-Speech
  • depart the provider unbound, however view and duplicate the credentials for each provider. You’ll want these later if you configure the nodes in your Node-purple app.
  • three

    Configure the Raspberry Pi with the gadget credentials

    in the event you installed the MQTT customer in your Raspberry Pi it began operating. before you can configure it with the new equipment credentials you need to cease it.

  • for your Raspberry Pi, enter this command: # sudo carrier iot cease
  • Open the equipment.cfgfile on vi (or use your favorite textual content editor). #sudo vi /and many others/iotsample-raspberrypi/device.cfg
  • Edit the credentials advice to fit the credentials you received in case you brought your Raspberry Pi device to the Watson IoT Platform. #equipment configuration file org = <yourOrgId> category = tjbotiot identity = <yourMac> auth-components = token auth-token = <yourToken> #end of Configuration file
  • Restart the IoT provider. #sudo carrier iot beginning
  • four

    Configure the native Node-purple application

    Now that you have updated Node-purple, installed the prerequisite Node-red modules on your Raspberry Pi, and configured your IBM Cloud app, that you could import the Node-crimson move and configure it. I’ll walk you in the course of the nodes and what they do, and reveal you the nodes you deserve to configure.

  • Go to GitHub.
  • reproduction the movement from the GitHub file.
  • Open your Node-pink native setting up (hostname:1880).
  • From the hamburger menu, select Import > Clipboard. The Import nodes window opens.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image008.png" class="IBM-downsize" alt="screen shot node_red_copy" height="464" width="515"/>
  • Paste the content here and click Import.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image009.png" class="IBM-downsize" alt="screen shot paste_flow" height="311" width="492"/>
  • After you import within the circulate, connect to Node-purple and set up the quintessential node modules so the flow seems like this.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image010.png" class="IBM-downsize" alt="screen shot" height="409" width="1265"/>
  • Let's evaluation the nodes in the circulate.

    4a

    Configure the IBMiot enter node to get hold of movements

    The stream starts with the IBMiot enter node labeled TJBot IoT – workload-sched. This node is used to receive hobbies despatched by IBM Workload Scheduler.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image011.png" class="IBM-downsize" alt="screen shot" height="97" width="283"/>
  • Double-click the TJBot IoT – workload-sched node.
  • Configure the node by means of clicking the pencil symbol.
  • within the identify container, enter my-tjbot.
  • within the API Key container, enter the API Key generated earlier (as an example, a-n7ha45-vzj07dmv6p).IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image012.png" class="IBM-downsize" alt="screen shot IBMiot_new" height="376" width="496"/>
  • click update.
  • Double-click the TJBot IoT – workload-sched node again, and within the Authentication field choose API Key, select the API key you simply registered my-tjbot, after which configure the IBMiot node settings.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image013.png" class="IBM-downsize" alt="screen shot IBMiot_node" height="502" width="494"/>
  • in the input classification container, opt for device event. The node listens for activities despatched by IoT contraptions.
  • For the equipment classification container and layout box, select All.
  • For the gadget identity field, enter the MAC address of your Raspberry Pi.
  • For the adventure container, enter workload-sched. here's where the IoT equipment publishes events.
  • observe: If a job run consequences in an abend, the event rule MQTT_TRIGGER_ER, which is created later in part 5, is brought on to run an MQTT job. The IBM Workload Scheduler MQTT job outcomes in a JSON object posted on the workload-sched topic in Watson IoT Platform. The IBM Workload Scheduler job step is shown in detail in area 5.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image014.png" class="IBM-downsize" alt="screen shot" height="129" width="273"/>

    4b

    overview the feature that extracts information

    After the enter node, the next part of the stream, which is deployed on the TJBot's native Node-pink setting up, starts with the JSON object that is obtained from the IBM Workload Scheduler MQTT job.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image015.png" class="IBM-downsize" alt="screen shot" height="103" width="368"/>

    The Extract records characteristic parses the job name and return code, which is consumed by using the other capabilities, and it additionally sends a color string to be consumed by way of the neopixel LED in your TJBot.

    right here code is in the Extract data feature:

    //Extract statistics and compose message var messageText = msg.payload.jobname messageText = "The job " + msg.payload.jobname + " abended with return code " + msg.payload.jobrc; return "job": "text": messageText, "colour": "red" ;

    4c

    Configure the Watson features nodes

    After the flow continues from the Extract statistics feature, it captures a picture on the trap node. i take advantage of a command known as raspstill. The photograph is consumed via a visual attention API that analyzes faces within the photograph.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image016.png" class="IBM-downsize" alt="screen shot" height="57" width="987"/>

    in case you put in the node-pink-node-watson node module, the Watson capabilities nodes pallets are displayed on Node-red, and you can see it on the movement imported as visual api and textual content to speech nodes.

    be sure you add your API Key on the visual api node, and add the person name and password for the textual content to speech node. bear in mind that at the conclusion of area 2, you requested two capabilities from IBM Cloud, together with one for the visible attention provider. Take the API key from it and paste it under API Key for the node.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image017.png" class="IBM-downsize" alt="screen shot" height="243" width="499"/>

    The output of the visible awareness API is distributed to the switch node known as have ops. If the msg.outcome.images[0].faces[0] is not null, which means faces have been detected, there isn't any should call or send SMS. TJBot simplest says the job identify and return code, waves, and blinks the LED.

    within the case where the have ops swap node's property is null, meaning faces had been no longer detected, TJBot initiates a call and sends an SMS message.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image018.png" class="IBM-downsize" alt="screen shot" height="315" width="514"/>

    4d

    Configure the LED node

    The Extract facts feature also sends a colour payload, which lights the neopixel LED installed on TJBot. in this instance, it sends a purple string to neopixels node.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image019.png" class="IBM-downsize" alt="screen shot" height="64" width="633"/>

    It additionally sends a payload to the textual content-to-speech provider where it produces a file to be performed by using TJBot's audio system. input the credentials you saved from the textual content to Speech service that you added on the end of part 2.

    4e

    Configure the rpi-gpio node and the have ops swap node

    For the servo to wave, you should configure the rpi-gpio out node, named Servo.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image020.png" class="IBM-downsize" alt="screen shot servo" height="132" width="423"/>

    be sure you in shape the GPIO you're the usage of with the atmosphere on the node. in the GPIO box, I selected Pin 22 – GPIO25.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image021.png" class="IBM-downsize" alt="screen shot" height="343" width="492"/>

    4f

    Configure the twilio-api node

    For the SMS and call interactions use the Twilio API, and use the account SID and token to configure to a local Node-red Twilio node.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image022.png" class="IBM-downsize" alt="screen shot" height="131" width="414"/>

    Create a new Twilio account and enter the advice from the Twilio subscription.

    IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image023.png" class="IBM-downsize" alt="screen shot" height="287" width="491"/>

    define the mobilephone quantity used for the SMS to ship the message. The content of the SMS message comes from the first characteristic I defined.

    "messageText = "The job " + msg.payload.jobname + " abended with return code " + msg.payload.jobrc; " IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image024.png" class="IBM-downsize" alt="screen shot" height="320" width="493"/>

    The Twilio out node sms job abend sends an SMS to the operator quantity that's registered on the node. For the name-out, another Twilio node is added and configured for the name output. The message is static, and might be modified, as you would love, in the example I used twimlets from Twilio to enforce the basic voice performance within the URL field.

    http://twimlets.com/message?Message=hiya,%20youp.c20have%20anpercent20incidentpercent20onp.c20your%20queue,%20please%20takep.c20thep.c20necessarypercent20action.%20Hello,%20youp.c20havep.c20an%20incidentpercent20on%20yourp.c20queue,%20pleasepercent20take%20thepercent20necessary%20action. IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image025.png" class="IBM-downsize" alt="screen shot" height="374" width="488"/>

    5

    Configure IBM Workload Scheduler MQTT jobs and the video display experience rule

    The IBM Workload Scheduler is a application automation tool that gives the backbone for automated workload management and monitoring. You leverage the MQTT job automation skill of the tool to hook up with an MQTT server and subscribe to a topic or publish a message (an experience or a command) to an issue.

    5a

    Create a brand new MQTT job to publish MQTT messages

  • In IBM Workload Scheduler, click Administration>control Workload Definitions. The Workload designer window opens.
  • select job category MQTT (9.4.0.01).IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image026.png" class="IBM-downsize" alt="screen shot" height="309" width="1000"/> iws_mqtt_job
  • Use these MQTT parameters to outline the MQTT job: Server: <yourOrgId>.messaging.internetofthings.IBMcloud.com Port: 8883 Use SSL: TLS v1.2 person identify (your API key): a-<yourOrgId>-<Key> Password (from the utility registration): *** customer id: a:<orgId>:App5 subject: iot-2/category/my-tjbot/identification/<deviceID>/evt/workload-sched/fmt/json MQTT Message: "jobname":"$agent:JOBS.JOBNAME", "jobrc":"$agent:JOBS.RC"
  • 5b

    outline a brand new experience rule to display screen the ambiance for job abends

    each and every abended job triggers an MQTT job that publishes a message on Watson IoT Platform.

  • opt for Administration > Create adventure guidelines. The event Rule Creator panel opens.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image027.png" class="IBM-downsize" alt="screen shot event_rule" height="597" width="743"/>
  • identify the guideline MQTT_TRIGGER_ER.
  • Drag the event Job status modified.
  • For interior repute, select ABEND.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image028.png" class="IBM-downsize" alt="screen shot event_rule_event" height="295" width="611"/>
  • From moves, drag the type put up job.
  • For the Job identify box, click look up to go looking to your job RASPBERRY_PUBLISH_APPID.
  • After you opt for the job, it immediately fills the Job computer identify box.
  • Add customized parameter 1 as JOBNAME=%jobStatChgEvt1.JobName
  • Add custom parameter 2 as JOBRC=%jobStatChgEvt1.ReturnCodeIBM.com/developerworks/library/iot-cognitive-alert-system-bot/image029.png" class="IBM-downsize" alt="screen shot MQTT_ER_TRIGGER_PROPERTIES" height="461" width="715"/>
  • The command submits the MQTT job prior to now created, passing the abended job identify and return code to it (placed as customized parameter 1 and a pair of).

    Conclusion

    this article confirmed the best way to combine IT provider management items like IBM Workload Scheduler with IBM Watson IoT Platform, IBM Cloud, and a robotic built with not pricey hardware (TJBot). by using Node-red, that you may instantly connect lower back-end tactics with new services and design powerful functionalities that advantage IT operations personnel.

    subsequent steps

    accept as true with enhancing your cognitive alert device in a single (or greater) of these techniques:

  • discover different items to be integrated with TJBot. MQTT client may also be installed on a wide selection of servers so it could put up messages to IBM Watson IoT Platform.
  • Add the conversation carrier to design interplay flows between TJBot, MQTT pursuits, and questions from the operators. The Node-red move microphone is installed so that you can leverage Node-crimson integrations between the microphone and the Speech to text service.
  • customize the Twilio call-out message, so you can leverage your Node-crimson utility on IBM Cloud to create an http node, which dynamically updates in keeping with the MQTT messages acquired. That way you're in a position to construct a dynamic .xml web page where Twilio is able to read when performing the name-out.
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