Amazon DVA-C02 Online Practice Questions and Exam Preparation

Amazon DVA-C02 Online Questions & Answers

• Question 111:

  A developer needs to export the contents of several Amazon DynamoDB tables into Amazon S3 buckets to comply with company data regulations. The developer uses the AWS CLI to run commands to export from each table to the proper S3 bucket. The developer sets up AWS credentials correctly and grants resources appropriate permissions. However, the exports of some tables fail.

  What should the developer do to resolve this issue?

  A. Ensure that point-in-time recovery is enabled on the DynamoDB tables.
  B. Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table.
  C. Ensure that DynamoDB streaming is enabled for the tables.
  D. Ensure that DynamoDB Accelerator (DAX) is enabled.
  B. Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table.

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  Explanation

  Comprehensive Detailed and Lengthy Step-by-Step

  Explanation with All AWS Developer

  References:

  1.Understanding the Use Case:

  The developer needs to export DynamoDB table data into Amazon S3 buckets using the AWS CLI, and some exports are failing. Proper credentials and permissions have already been configured.

  2.Key Conditions to Check:

  Region Consistency:DynamoDB exports require that the target S3 bucket and the DynamoDB table reside in the same AWS Region. If they are not in the same Region, the export process will fail. Point-in-Time Recovery (PITR):PITR is not

  required for exporting data from DynamoDB to S3. Enabling PITR allows recovery of table states at specific points in time but does not directly influence export functionality.

  DynamoDB Streams:Streams allow real-time capture of data modifications but are unrelated to the bulk export feature.

  DAX (DynamoDB Accelerator):DAX is a caching service that speeds up read operations for DynamoDB but does not affect the export functionality.

  3.

  Explanation of the Options:

  Option A:"Ensure that point-in-time recovery is enabled on the DynamoDB tables."While PITR is useful for disaster recovery and restoring table states, it is not required for exporting data to S3. This option does not address the export failure.

  Option B:"Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table."This is the correct answer. DynamoDB export functionality requires the target S3 bucket to reside in the same AWS Region as the DynamoDB

  table. If the S3 bucket is in a different Region, the export will fail.

  Option C:"Ensure that DynamoDB streaming is enabled for the tables."Streams are useful for capturing real-time changes in DynamoDB tables but are unrelated to the export functionality. This option does not resolve the issue. Option

  D:"Ensure that DynamoDB Accelerator (DAX) is enabled."DAX accelerates read operations but does not influence the export functionality. This option is irrelevant to the issue.

  4.Resolution Steps:

  To ensure successful exports:

  Verify the Region of the DynamoDB tables :

  Check the Region where each table is located.

  Verify the Region of the target S3 buckets :

  Confirm that the target S3 bucket for each export is in the same Region as the corresponding DynamoDB table.

  If necessary, create new S3 buckets in the appropriate Regions.

  Run the export command again with the correct setup:

  aws dynamodb export-table-to-point-in-time \

  --table-name \

  --s3-bucket \

  --s3-prefix \

  --export-time \

  --region

  References:

  Exporting DynamoDB Data to Amazon S3

  S3 Bucket Region Requirements for DynamoDB Exports

  AWS CLI Reference for DynamoDB Export

• Question 112:

  A development team wants to immediately build and deploy an application whenever there is a change to the source code.

  Which approaches could be used to trigger the deployment? (Choose two.)

  A. Store the source code in an Amazon S3 bucket. Configure AWS CodePipeline to start whenever a file in the bucket changes.
  B. Store the source code in an encrypted Amazon EBS volume. Configure AWS CodePipeline to start whenever a file in the volume changes.
  C. Store the source code in an AWS CodeCommit repository. Configure AWS CodePipeline to start whenever a change is committed to the repository.
  D. Store the source code in an Amazon S3 bucket. Configure AWS CodePipeline to start every 15 minutes.
  E. Store the source code in an Amazon EC2 instance's ephemeral storage. Configure the instance to start AWS CodePipeline whenever there are changes to the source code.
  A. Store the source code in an Amazon S3 bucket. Configure AWS CodePipeline to start whenever a file in the bucket changes.
  C. Store the source code in an AWS CodeCommit repository. Configure AWS CodePipeline to start whenever a change is committed to the repository.

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  Explanation

• Question 113:

  A company has an online web application that includes a product catalog. The catalog is stored in an Amazon S3 bucket that is named DOC-EXAMPLE-BUCKET. The application must be able to list the objects in the S3 bucket and must be able to download objects through an IAM policy.

  Which policy allows MINIMUM access to meet these requirements?

  

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  A. Option A

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  Explanation

• Question 114:

  A developer is creating a video search application for a global company. The video files have an average size of 2.5 TB. The video storage system must provide instant access to the video files for the first 90 days. After the first 90 days, the video files can take more than 10 minutes to load.

  Which solution will meet these requirements MOST cost-effectively?

  A. Upload the video files to the Amazon Elastic File System (Amazon EFS) Standard storage class for the first 90 days. After 90 days, transition the video files to the EFS Standard-Infrequent Access (Standard-IA) storage class.
  B. Upload the video files to Amazon S3. Use the S3 Glacier Deep Archive storage class for the first 90 days. After 90 days, transition the video file to the S3 Glacier Flexible Retrieval storage class.
  C. Use Amazon Elastic Block Store (Amazon EBS) to store the video files for the first 90 days. After 90 days, transition the video files to the Amazon S3 Glacier Deep Archive storage class.
  D. Upload the video files to Amazon S3. Use the S3 Glacier Instant Retrieval storage class for the first 90 days. After 90 days, transition the video files to the S3 Glacier Flexible Retrieval storage class.
  D. Upload the video files to Amazon S3. Use the S3 Glacier Instant Retrieval storage class for the first 90 days. After 90 days, transition the video files to the S3 Glacier Flexible Retrieval storage class.

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  Explanation

• Question 115:

  A team of developers 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.

  Which solution will meet this requirement with the LEAST operational effort?

  A. Write a Git pre-commit hook that runs the tests before every commit. Ensure that each developer who is working on the project has the pre-commit hook installed 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 CodeBuild console. View the test results in CodeBuild. Resolve any issues.
  C. Add a new stage to the pipeline. Use AWS CodeBuild as 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 if 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 report with the Jenkins dashboard. View the test results in Jenkins. Resolve any issues.
  C. Add a new stage to the pipeline. Use AWS CodeBuild as 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 if 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.

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  Explanation

• Question 116:

  A developer is working on an existing application that uses Amazon DynamoDB as its data store. The DynamoDB table has the following attributes: partNumber (partition key), vendor (sort key), description, productFamily, and productType. When the developer analyzes the usage patterns, the developer notices that there are application modules that frequently look for a list of products based on the productFamily and productType attributes.

  The developer wants to make changes to the application to improve performance of the query operations.

  Which solution will meet these requirements?

  A. Create a global secondary index (GSI) with productFamily as the partition key and productType as the sort key.
  B. Create a local secondary index (LSI) with productFamily as the partition key and productType as the sort key.
  C. Recreate the table. Add partNumber as the partition key and vendor as the sort key. During table creation, add a local secondary index (LSI) with productFamily as the partition key and productType as the sort key.
  D. Update the queries to use Scan operations with productFamily as the partition key and productType as the sort key.
  A. Create a global secondary index (GSI) with productFamily as the partition key and productType as the sort key.

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  Explanation

• Question 117:

  A developer is using AWS CodeDeploy to launch an application onto Amazon EC2 instances. The application deployment fails during testing. The developer notices an IAM_ROLE_PERMISSIONS error code in the Amazon CloudWatch logs.

  What should the developer do to resolve the error?

  A. Ensure that the deployment group is using the correct role name for the CodeDeploy service role.
  B. Attach the AWSCodeDeployRole policy to the CodeDeploy service role.
  C. Attach the AWSCodeDeployRole policy to the CodeDeploy service role.
  D. Ensure the CodeDeploy agent is installed and running on all instances in the deployment group.
  C. Attach the AWSCodeDeployRole policy to the CodeDeploy service role.

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  Explanation

• Question 118:

  A developer has an application that makes batch requests directly to Amazon DynamoDB by using the BatchGetItem low-level API operation. The responses frequently return values in the UnprocessedKeys element. Which actions should the developer take to increase the resiliency of the application when the batch response includes values in UnprocessedKeys? (Choose two.)

  A. Retry the batch operation immediately.
  B. Retry the batch operation with exponential backoff and randomized delay.
  C. Update the application to use an AWS software development kit (AWS SDK) to make the requests.
  D. Increase the provisioned read capacity of the DynamoDB tables that the operation accesses.
  E. Increase the provisioned write capacity of the DynamoDB tables that the operation accesses.
  B. Retry the batch operation with exponential backoff and randomized delay.
  C. Update the application to use an AWS software development kit (AWS SDK) to make the requests.

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  Explanation

  https://docs.aws.amazon.com/general/latest/gr/api-retries.html

• Question 119:

  A company hosts a stateless web application with low data storage in a single AWS Region. The company wants to increase the resiliency of the application to include a multi-Region presence. The company wants to set the recovery time objective (RTO) and recovery point objective (RPO) to hours. The company needs a low-cost and low-complexity disaster recovery (DR) strategy.

  Which DR strategy should the company use?

  A. Warm standby
  B. Pilot light
  C. Backup and restore
  D. Multi-site active-active
  B. Pilot light

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  Explanation

  Why Option B is Correct:The pilot light strategy keeps a minimal version of the environment in another Region and scales up during a disaster. It achieves an RTO and RPO of hours at a low cost and complexity.

  Why Other Options are Incorrect:

  Option A: Warm standby is more expensive as it keeps a scaled-down, fully functioning version running in another Region.

  Option C: Backup and restore has a longer RTO and RPO than hours.

  Option D: Multi-site active-active is costly and more complex than required.

  AWS Documentation

  References:

  Disaster Recovery Strategies on AWS

• Question 120:

  A developer is building a serverless application by using the AWS Serverless Application Model (AWS SAM). The developer is currently testing the application in a development environment. When the application is nearly finished, the

  developer will need to set up additional testing and staging environments for a quality assurance team.

  The developer wants to use a feature of the AWS SAM to set up deployments to multiple environments.

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

  A. Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --configenv flag that corresponds to each environment.
  B. Create additional AWS SAM templates for each testing and staging environment. Write a custom shell script that uses the sam deploy command and the --template-file flag to deploy updates to the environments.
  C. Create one AWS SAM configuration file that has default parameters. Perform updates to the testing and staging environments by using the --parameter-overrides flag in the AWS SAM CLI and the parameters that the updates will override.
  D. Use the existing AWS SAM template. Add additional parameters to configure specific attributes for the serverless function and database table resources that are in each environment. Deploy updates to the testing and staging environments by using the sam deploy command.
  C. Create one AWS SAM configuration file that has default parameters. Perform updates to the testing and staging environments by using the --parameter-overrides flag in the AWS SAM CLI and the parameters that the updates will override.

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  Explanation