Download IBM Cloud Platform Application Development v2.C5050-384.BrainDumps.2019-02-20.58q.vcex

Vendor: IBM
Exam Code: C5050-384
Exam Name: IBM Cloud Platform Application Development v2
Date: Feb 20, 2019
File Size: 167 KB

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Question 1
What are two examples of serverless computing frameworks? 
(Select two.)
  1. AWS EC2
  2. OpenWhisk
  3. AWS Blueshift
  4. Azure Automation
  5. Google Cloud Functions
Correct answer: BE
Explanation:
The IBM OpenWhisk serverless architecture accelerates development as a set of small, distinct, and independent actions. By abstracting away infrastructure, OpenWhisk frees members of small teams to rapidly work on different pieces of code simultaneously, keeping the overall focus on creating user experiences customers want. Google Cloud Functions Beta is a serverless environment to build and connect cloud services. Incorrect Answers:A, C: AWS Lambda is serverless computing framework, but AWS EC2 and AWS Blueshift are not.Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. AWS Blueshift is a standalone service written in Clojure (a dialect of Lisp that targets the JVM) that is expected to be deployed on a server. It is configured to watch an S3 bucket; when it detects new data files and a corresponding Blueshift manifest it will perform an upsert transaction for all the files with the additional benefit of being a single import for a large number of files. References:https://www.ibm.com/cloud-computing/bluemix/openwhiskhttps://cloud.google.com/functions/
The IBM OpenWhisk serverless architecture accelerates development as a set of small, distinct, and independent actions. By abstracting away infrastructure, OpenWhisk frees members of small teams to rapidly work on different pieces of code simultaneously, keeping the overall focus on creating user experiences customers want. 
Google Cloud Functions Beta is a serverless environment to build and connect cloud services. 
Incorrect Answers:
A, C: AWS Lambda is serverless computing framework, but AWS EC2 and AWS Blueshift are not.
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. 
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. 
AWS Blueshift is a standalone service written in Clojure (a dialect of Lisp that targets the JVM) that is expected to be deployed on a server. It is configured to watch an S3 bucket; when it detects new data files and a corresponding Blueshift manifest it will perform an upsert transaction for all the files with the additional benefit of being a single import for a large number of files. 
References:
https://www.ibm.com/cloud-computing/bluemix/openwhisk
https://cloud.google.com/functions/
Question 2
Which two fields are required in a Certificate Signing Request (CSR)? 
(Select two.)
  1. Encryption key
  2. Organization name
  3. Certificate Trust store
  4. Certificate Authority (Issuer Name)
  5. Common name (fully qualified domain name)
Correct answer: BE
Explanation:
The required fields of a CSR are Common Name (URL), Country, City/Locality, State /Province, Organization Mae, Organization Unit, and Legacy ID. References: https://knowledge.rapidssl.com/support/ssl-certificate-support/index?page=content&actp=CROSSLINK&id=SO16317
The required fields of a CSR are Common Name (URL), Country, City/Locality, State /Province, Organization Mae, Organization Unit, and Legacy ID. 
References: https://knowledge.rapidssl.com/support/ssl-certificate-support/index?page=content&actp=CROSSLINK&id=SO16317
Question 3
Which git command is used to identify changes to files in a GitHub repository?
  1. git fault
  2. git blame
  3. git remote
  4. git source
Correct answer: B
Explanation:
The blame command is a Git feature, designed to help you determine who made changes to a file. Despite its negative-sounding name, git blame is actually pretty innocuous; its primary function is to point out who changed which lines in a file, and why. It can be a useful tool to identify changes in your code. References: https://help.github.com/articles/tracing-changes-in-a-file/
The blame command is a Git feature, designed to help you determine who made changes to a file. 
Despite its negative-sounding name, git blame is actually pretty innocuous; its primary function is to point out who changed which lines in a file, and why. It can be a useful tool to identify changes in your code. 
References: https://help.github.com/articles/tracing-changes-in-a-file/
Question 4
According to the Twelve-Factor App methodology, what practice can be used to minimize time and cost when adding new developers?
  1. Explicitly declare and isolate dependencies.
  2. Standardize on a code logging library, such as log4j.
  3. Store application configuration data in the code repository.
  4. Design applications to be stateful to simplify code architecture.
Correct answer: A
Explanation:
Use declarative formats for setup automation, to minimize time and cost for new developers joining the project. Note: The The Twelve Factors are (see II):I. Codebase One codebase tracked in revision control, many deploys II. Dependencies Explicitly declare and isolate dependencies III. Config Store config in the environment IV. Backing services Treat backing services as attached resources V. Build, release, run Strictly separate build and run stages VI. Processes Execute the app as one or more stateless processes VII. Port binding Export services via port binding VIII. Concurrency Scale out via the process model IX. Disposability Maximize robustness with fast startup and graceful shutdown X. Dev/prod parity Keep development, staging, and production as similar as possible XI. Logs Treat logs as event streams XII. Admin processes Run admin/management tasks as one-off processes References: https://12factor.net/
Use declarative formats for setup automation, to minimize time and cost for new developers joining the project. 
Note: The The Twelve Factors are (see II):
I. Codebase 
One codebase tracked in revision control, many deploys 
II. Dependencies 
Explicitly declare and isolate dependencies 
III. Config 
Store config in the environment 
IV. Backing services 
Treat backing services as attached resources 
V. Build, release, run 
Strictly separate build and run stages 
VI. Processes 
Execute the app as one or more stateless processes 
VII. Port binding 
Export services via port binding 
VIII. Concurrency 
Scale out via the process model 
IX. Disposability 
Maximize robustness with fast startup and graceful shutdown 
X. Dev/prod parity 
Keep development, staging, and production as similar as possible 
XI. Logs 
Treat logs as event streams 
XII. Admin processes 
Run admin/management tasks as one-off processes 
References: https://12factor.net/
Question 5
Which compute platform offers serverless computing and is an event-driven compute service available on IBM Cloud?
  1. PubNub
  2. OpenWhisk
  3. OpenStack
  4. TinyQueries
Correct answer: B
Explanation:
IBM OpenWhisk is a distributed compute service for developing and executing application logic in response to events. The IBM OpenWhisk serverless architecture accelerates development as a set of small, distinct, and independent actions. By abstracting away infrastructure, OpenWhisk frees members of small teams to rapidly work on different pieces of code simultaneously, keeping the overall focus on creating user experiences customers want. Note: OpenWhisk provides:A rich set of building blocks that they can easily glue/stitch together. The ability to focus more on value-adding business logic and less on low-level infrastructural and operational details. The ability to easily chain together microservices to form workflows via composition. References: https://www.ibm.com/cloud-computing/bluemix/openwhisk
IBM OpenWhisk is a distributed compute service for developing and executing application logic in response to events. 
The IBM OpenWhisk serverless architecture accelerates development as a set of small, distinct, and independent actions. By abstracting away infrastructure, OpenWhisk frees members of small teams to rapidly work on different pieces of code simultaneously, keeping the overall focus on creating user experiences customers want. 
Note: OpenWhisk provides:
A rich set of building blocks that they can easily glue/stitch together. 
The ability to focus more on value-adding business logic and less on low-level infrastructural and operational details. 
The ability to easily chain together microservices to form workflows via composition. 
References: https://www.ibm.com/cloud-computing/bluemix/openwhisk
Question 6
What does the creation of a single rule in IBM Cloud Functions accomplish?
  1. It associates one trigger with one action.
  2. It associates one or more triggers with one action.
  3. It associates one trigger with one or more actions.
  4. It associates one or more triggers with one or more actions.
Correct answer: A
Explanation:
The OpenWhisk model consists of three concepts:Trigger, a class of events that can happen. Action, an event handler — some code that runs in response to an event. Rule, an association between a trigger and an action. References: https://www.ibm.com/cloud-computing/bluemix/openwhisk
The OpenWhisk model consists of three concepts:
Trigger, a class of events that can happen. 
Action, an event handler — some code that runs in response to an event. 
Rule, an association between a trigger and an action. 
References: https://www.ibm.com/cloud-computing/bluemix/openwhisk
Question 7
What is MapReduce used for in relation to Cloudant NoSQL databases?
  1. Compressing data
  2. Creating data views
  3. Storing spatial data
  4. Converting data from JSON to WSDL
Correct answer: B
Explanation:
CouchDB (and Cloudant's BigCouch) use MapReduce as a tool to let you introspect your data and build persistent 'views' (indices) for fast query responses. Incorrect Answers:D: A WSDL document describes a web service. It specifies the location of the service, and the methods of the service, using these major elements:References: https://console.bluemix.net/docs/services/Cloudant/blog/mapreduce.html
CouchDB (and Cloudant's BigCouch) use MapReduce as a tool to let you introspect your data and build persistent 'views' (indices) for fast query responses. 
Incorrect Answers:
D: A WSDL document describes a web service. It specifies the location of the service, and the methods of the service, using these major elements:
References: https://console.bluemix.net/docs/services/Cloudant/blog/mapreduce.html
Question 8
A retail company wishes to improve their customers’ experience on their e-commerce web site that they have recently deployed on Cloud. 
The company wants to improve conversion rates by better understanding their visitors. Which IBM Cloud Watson product could they use to analyze transactional and social media data to try to determine purchase decisions, intent and behavioral traits of their visitors?
  1. Conversation
  2. Tone Analyzer
  3. Discovery News
  4. Personality Insights
Correct answer: D
Explanation:
Watson Personality Insights predicts personality characteristics, needs and values through written text. Understand your customers’ habits and preferences on an individual level, and at scale. Incorrect Answers:A: With Watson Conversation you can quickly build and deploy chatbots and virtual agents across a variety of channels, including mobile devices, messaging platforms, and even robots.B: Watson Tone Analyzer understand emotions and communication style in text.C: Discovery News can infuse your applications with news made smarter by Watson.References: https://www.ibm.com/watson/services/personality-insights/
Watson Personality Insights predicts personality characteristics, needs and values through written text. Understand your customers’ habits and preferences on an individual level, and at scale. 
Incorrect Answers:
A: With Watson Conversation you can quickly build and deploy chatbots and virtual agents across a variety of channels, including mobile devices, messaging platforms, and even robots.
B: Watson Tone Analyzer understand emotions and communication style in text.
C: Discovery News can infuse your applications with news made smarter by Watson.
References: https://www.ibm.com/watson/services/personality-insights/
Question 9
Which statement is true for monitoring containers in IBM Bluemix?
  1. Containers come with built-in monitoring and logging.
  2. The Bluemix administrator should install and maintain a logstash agent inside the container.
  3. The ENABLE_LOGGING variable must be specified when creating a container to have Bluemix monitor the container.
  4. System messages, stdout and stderr are not captured by default.
Correct answer: B
Explanation:
Logstash is an open source tool for collecting, parsing, and storing logs for future use. Building a centralized logging system for your microservices can be a significant task, but Bluemix makes it easier. Bluemix is the platform to deploy all of your microservices into. It is also the actual container that holds the centralized logging system. Use Docker to build the containers you are running and deploying. The microservices are built with Node.js and deployed using the support of Cloud Foundry technologies in Bluemix. The centralized logging inside the Docker container is built with the Elasticsearch, Logstash, and Kibana (ELK) stack. References: https://www.ibm.com/developerworks/cloud/library/cl-create-centralized-logging-in-docker-containers-with-bluemix-and-node.js-bluemix/index.html
Logstash is an open source tool for collecting, parsing, and storing logs for future use. 
Building a centralized logging system for your microservices can be a significant task, but Bluemix makes it easier. Bluemix is the platform to deploy all of your microservices into. It is also the actual container that holds the centralized logging system. Use Docker to build the containers you are running and deploying. 
The microservices are built with Node.js and deployed using the support of Cloud Foundry technologies in Bluemix. The centralized logging inside the Docker container is built with the Elasticsearch, Logstash, and Kibana (ELK) stack. 
References: https://www.ibm.com/developerworks/cloud/library/cl-create-centralized-logging-in-docker-containers-with-bluemix-and-node.js-bluemix/index.html
Question 10
In IBM Cloud Foundry what happens when an application that can be handled by multiple buildpacks is deployed without a buildpack being specified?
  1. The most recent version of a matching buildpack will be selected.
  2. The matching buildpack with the lowest position number will be selected.
  3. The user is prompted during deployment to select the appropriate buildpack.
  4. An AppNotDetected error is generated because a buildpack was not specified.
Correct answer: B
Explanation:
The buildpack with the lowest position number that is able to run your application is selected. References: https://www.ibm.com/developerworks/community/blogs/enablingwithbluemix/date/201408?lang=en
The buildpack with the lowest position number that is able to run your application is selected. 
References: https://www.ibm.com/developerworks/community/blogs/enablingwithbluemix/date/201408?lang=en
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