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Question 40

An Amazon Simple Queue Service (Amazon SQS) queue serves as an event source for an AWS Lambda function In the SQS queue, each item corresponds to a video file that the Lambda function must convert to a smaller resolution The Lambda function is timing out on longer video files, but the Lambda function's timeout is already configured to its maximum value

What should a developer do to avoid the timeouts without additional code changes'?

Options:

A.

Increase the memory configuration of the Lambda function

B.

Increase the visibility timeout on the SQS queue

C.

Increase the instance size of the host that runs the Lambda function.

D.

Use multi-threading for the conversion.

Question 41

A company's developer has deployed an application in AWS by using AWS CloudFormation The CloudFormation stack includes parameters in AWS Systems Manager Parameter Store that the application uses as configuration settings. The application can modify the parameter values

When the developer updated the stack to create additional resources with tags, the developer noted that the parameter values were reset and that the values ignored the latest changes made by the application. The developer needs to change the way the company deploys the CloudFormation stack. The developer also needs to avoid resetting the parameter values outside the stack.

Which solution will meet these requirements with the LEAST development effort?

Options:

A.

Modify the CloudFormation stack to set the deletion policy to Retain for the Parameter Store parameters.

B.

Create an Amazon DynamoDB table as a resource in the CloudFormation stack to hold configuration data for the application Migrate the parameters that the application is modifying from Parameter Store to the DynamoDB table

C.

Create an Amazon RDS DB instance as a resource in the CloudFormation stack. Create a table in the database for parameter configuration. Migrate the parameters that the application is modifying from Parameter Store to the configuration table

D.

Modify the CloudFormation stack policy to deny updates on Parameter Store parameters

Question 42

A company receives food orders from multiple partners. The company has a microservices application that uses Amazon API Gateway APIs with AWS Lambda integration. Each partner sends orders by calling a customized API that is exposed through API Gateway. The API call invokes a shared Lambda function to process the orders.

Partners need to be notified after the Lambda function processes the orders. Each partner must receive updates for only the partner's own orders. The company wants to add new partners in the future with the fewest code changes possible.

Which solution will meet these requirements in the MOST scalable way?

Options:

A.

Create a different Amazon Simple Notification Service (Amazon SNS) topic for each partner. Configure the Lambda function to publish messages for each partner to the partner's SNS topic.

B.

Create a different Lambda function for each partner. Configure the Lambda function to notify each partner's service endpoint directly.

C.

Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure the Lambda function to publish messages with specific attributes to the SNS topic. Subscribe each partner to the SNS topic. Apply the appropriate filter policy to the topic subscriptions.

D.

Create one Amazon Simple Notification Service (Amazon SNS) topic. Subscribe all partners to the SNS topic.

Question 43

A team of developed is using an AWS CodePipeline pipeline as a continuous integration and continuous delivery (CI/CD) mechanism for a web application. A developer has written unit tests to programmatically test the functionality of the application code. The unit tests produce a test report that shows the results of each individual check. The developer now wants to run these tests automatically during the CI/CD process.

Options:

A.

Write a Git pre-commit hook that runs the test before every commit. Ensure that each developer who is working on the project has the pre-commit hook instated locally. Review the test report and resolve any issues before pushing changes to AWS CodeCommit.

B.

Add a new stage to the pipeline. Use AWS CodeBuild as the provider. Add the new stage after the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage if any test does not pass. Use the test reports feature of Codebuild to integrate the report with the CodoBuild console. View the test results in CodeBuild Resolve any issues.

C.

Add a new stage to the pipeline. Use AWS CodeBuild at the provider. Add the new stage before the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage it any test does not pass. Use the test reports feature of CodeBuild to integrate the report with the CodeBuild console. View the test results in codeBuild Resolve any issues.

D.

Add a new stage to the pipeline. Use Jenkins as the provider. Configure CodePipeline to use Jenkins to run the unit tests. Write a Jenkinsfile that fails the stage if any test does not pass. Use the test report plugin for Jenkins to integrate the repot with the Jenkins dashboard. View the test results in Jenkins. Resolve any issues.

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Exam Code: DVA-C02
Exam Name: AWS Certified Developer - Associate
Last Update: Nov 21, 2024
Questions: 292
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