Free Amazon DVA-C02 Exam Questions

Question 1

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.

Answer: B

Question 2

A developer is updating an Amazon API Gateway REST API to have a mock endpoint. The developer wants to update the integration request mapping template so the endpoint will respond to mock integration requests with specific HTTP status codes based on various conditions.

A : { if( $input.params(‘integration’) == "mock" ) "statusCode": 404 else "statusCode": 500 end }

B : { if( $input.params('scope') == "internal" ) "statusCode": 200 else "statusCode": 500 end }

C : { if( $input.path("integration") ) "statusCode": 200 else "statusCode":404 end }

D : { if( $context.integration.status ) "statusCode": 200 else "statusCode": 500 end }

Answer: D

Question 3

An application must be refactored for the cloud. The application data is stored in an Amazon DynamoDB table and is processed by a Lambda function which prepares the data for analytics. The data processing currently takes place once a day, but the data analysts require it to be performed in near-real time.

Which architecture pattern could be used to enable the data to be processed as it is received?

A : a microservices architecture.

B : a fan-out architecture.

C : an event-driven architecture.

D : a scheduled architecture.

Answer: C

Question 4

An 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 finsihed, 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 --config-env 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.

Answer: A

Question 5

A company needs to package and deploy an application that uses AWS Lambda to compress and decompress video clips. The application uses a video codec library that is larger than 250 MB. The application uses the library to compress the videos before storage and to decompress the videos upon retrieval.

A : Create one Lambda function. Upload one zip file that contains code to handle video compression and decompression to the function. Include the codec library in the zip file

B : Create two Lambda functions. Upload one zip file that contains code to handle video compression to one function. Upload a second zip file that contains code for video decompression to the second function. Include the codec library in both zip files.

C : Create two Lambda functions. Upload one zip file that contains code to handle video compression to one function. Upload a second zip file that contains code for video decompression to the second function. Create one Lambda layer for the codec library. Add the layer to both functions.

D : Create two Lambda functions. Build one container image that contains code to handle video compression and a second image that contains video decompression code. Add the codec library to both images. Upload the images to Amazon ECR. Use the containers to create the Lambda functions.

Answer: D