Free AWS-CERTIFIED-DEVELOPER-ASSOCIATE-DVA-C02 Amazon AWS-CERTIFIED-DEVELOPER-ASSOCIATE-DVA-C02 Practice Test Question - Page 8

Question 22 (Topic 1)

A company is using AWS CodePipeline to deliver one of its applications. The delivery pipeline is triggered by changes to the main branch of an AWS CodeCommit repository and uses AWS CodeBuild to implement the test and build stages of the process and AWS CodeDeploy to deploy the application. The pipeline has been operating successfully for several months and there have been no modifications. Following a recent change to the application’s source code, AWS CodeDeploy has not deployed the updated application as expected. What are the possible causes? (Choose two.)

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○ The change was not made in the main branch of the AWS CodeCommit repository.
○ One of the earlier stages in the pipeline failed and the pipeline has terminated.
○ One of the Amazon EC2 instances in the company’s AWS CodePipeline cluster is inactive.
○ The AWS CodePipeline is incorrectly configured and is not invoking AWS CodeDeploy.
○ AWS CodePipeline does not have permissions to access AWS CodeCommit.

Reference / correct answer:

One of the earlier stages in the pipeline failed and the pipeline has terminated.

Most accepted answer: B. One of the earlier stages in the pipeline failed and the pipeline has terminated.

Community votes: A=4, B=6, C=1, D=1

Selected Answer: AB A. The change was not made in the main branch of the AWS CodeCommit repository: In this pipeline setup, if the change was made in a branch other than the main branch, it would not trigger the pipeline, and therefore, AWS CodeDeploy wouldn't deploy the updated application. B. One of the earlier stages in the pipeline failed and the pipeline has terminated: If one of the preceding stages in the pipeline failed, it would prevent the subsequent stages, including AWS CodeDeploy, from being executed. upvoted 10 times

Selected Answer: AB AB is the correct answer. upvoted 1 times

Selected Answer: AB A. The change was not made in the main branch of the AWS CodeCommit repository. If the change to the application's source code was not made in the main branch (or the branch that triggers the pipeline), AWS CodePipeline would not detect the change and therefore would not initiate the deployment process. It's crucial that changes are made in the correct branch that is configured to trigger the pipeline. B. One of the earlier stages in the pipeline failed and the pipeline has terminated. If any stage in AWS CodePipeline fails (such as a failure in the test or build stages in AWS CodeBuild), the pipeline stops and does not proceed to the deployment stage. It is common for pipelines to be configured to halt on failure to prevent the deployment of potentially faulty code. upvoted 3 times

Selected Answer: AB AB is correct - there have been no changes, so someone either merged code into the wrong branch (not triggering the pipeline) or it failed at an earlier stage. Other options dont make sence given the scenario upvoted 2 times

Selected Answer: BC The delivery pipeline is triggered by changes to the main branch - so new code change should have triggered this but this cause errors for some reasons and option C upvoted 1 times

Question 23 (Topic 1)

A developer is building a serverless application that runs on AWS. The developer wants to create an accelerated development workflow that deploys incremental changes to AWS for testing. The developer wants to deploy the incremental changes but does not want to fully deploy the entire application to AWS for every code commit. What should the developer do to meet these requirements?

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○ Use the AWS Serverless Application Model (AWS SAM) to build the application. Use the sam sync command to deploy the incremental changes.
○ Use the AWS Serverless Application Model (AWS SAM) to build the application. Use the sam init command to deploy the incremental changes.
○ Use the AWS Cloud Development Kit (AWS CDK) to build the application. Use the cdk synth command to deploy the incremental changes.
○ Use the AWS Cloud Development Kit (AWS CDK) to build the application. Use the cdk bootstrap command to deploy the incremental changes.

Reference / correct answer:

Use the AWS Serverless Application Model (AWS SAM) to build the application. Use the sam sync command to deploy the incremental changes.

Most accepted answer: A. Use the AWS Serverless Application Model (AWS SAM) to build the application. Use the sam sync command to deploy the incremental changes.

Community votes: A=5

Selected Answer: A Here the answer is A - sam sync. According to my research: - cdk synth: only constructs your CloudFormation template. It does not deploy (create actual resources) it to AWS. You can take the template constructed, deploy it manually in CFN console, edit or inspect. - sam init: used to initialize a new serverless application - cdk bootstrap: the main purpose of cdk bootstrap is to provision a set of resources required to support the deployment of AWS CDK applications upvoted 7 times

Selected Answer: A A is the correct answer. upvoted 2 times

Selected Answer: A https://aws.amazon.com/blogs/compute/speeding-up-incremental-changes-with-aws-sam-accelerate-and-nested-stacks/#:~:text=AWS%20SAM%20Accelerate%20enhances%20the%20development%20experience.%20It%20automatically%20observes%20local%20code%20changes%20and%20synchronizes%20them%20to%20AWS%20without%20building%20and%20deploying%20every%20function%20in%20my%20project. upvoted 2 times

Selected Answer: A You.com upvoted 1 times

Selected Answer: A Serverless cdk synth command is not used for deploying changes. Instead, cdk synth generates an AWS CloudFormation template from the CDK app's code, which describes the cloud resources that need to be created or updated. It does not actually deploy those changes to AWS. upvoted 1 times

Question 24 (Topic 1)

An application that runs on AWS receives messages from an Amazon Simple Queue Service (Amazon SQS) queue and processes the messages in batches. The application sends the data to another SQS queue to be consumed by another legacy application. The legacy system can take up to 5 minutes to process some transaction data. A developer wants to ensure that there are no out-of-order updates in the legacy system. The developer cannot alter the behavior of the legacy system. Which solution will meet these requirements?

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○ Use an SQS FIFO queue. Configure the visibility timeout value.
○ Use an SQS standard queue with a SendMessageBatchRequestEntry data type. Configure the DelaySeconds values.
○ Use an SQS standard queue with a SendMessageBatchRequestEntry data type. Configure the visibility timeout value.
○ Use an SQS FIFO queue. Configure the DelaySeconds value.

Free AWS-CERTIFIED-DEVELOPER-ASSOCIATE-DVA-C02 – Amazon AWS-CERTIFIED-DEVELOPER-ASSOCIATE-DVA-C02 Practice Test Question