Free Amazon DOP-C02 Exam Questions

Question 1

A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway. The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository.

The deployment must have the following:

• Separate environment pipelines for testing and production

• Automatic deployment that occurs for test environments only

Which steps should be taken to meet these requirements?

A : Configure a new AWS CodePipeline service. Create a CodeCommit repository for each environment. Set up CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.

B : Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create a CodeCommit repository for each environment. Set up each CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.

C : Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation

D : Create an AWS CodeBuild configuration for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Push the Lambda function code to an Amazon S3 bucket. Set up the deployment step to deploy the Lambda functions from the S3 bucket.

Answer: C

Question 2

An enterprise resource planning application is hosted in an Auto Scaling group of EC2 instances behind an Application Load Balancer which uses an Amazon DynamoDB table as its data store. For the application’s reporting module, there are five Lambda functions which are reading from the DynamoDB Streams of the table to count the number of products, monitor the inventory, generate reports, move new items to a Kinesis Data Firehose for analytics, and many more. The operations team discovered that in peak times, the Lambda functions are getting a stream throttling error and some of the requests fail which affects the performance of the reporting module.

Which of the following is the MOST scalable and cost-effective solution with the LEAST amount of operational overhead?

A : factor your architecture to use Amazon Kinesis Adapter for real-time processing of streaming data at a massive scale instead of directly consuming the stream using Lambda. Re-architect the reporting module to use Amazon Kinesis Data Analytics.

B : the Amazon CodeGuru service to optimize the codebase of the reporting module. Create a new global secondary index (GSI) in the DynamoDB table to improve the performance of the queries. Increase the allocated RCU of the table. Disable the Amazon DynamoDB streams and refactor the Lambda functions to directly query from the table. Refactor the reporting module to use Amazon Kinesis Data Analytics.

C : eate a new local secondary index (LSI) in the DynamoDB table to improve the performance of the queries. Double the allocated RCU of the table. Refactor the Lambda functions to directly query from the table and disable the DynamoDB streams. Increase the concurrency limits of each Lambda function to avoid throttling errors and set the ParallelizationFactor to 10. Re-architect the reporting module to use Amazon Kinesis Data Analytics.

D : lete all of the Lambda functions and move all of the processing on an Amazon ECS Cluster with Auto Scaling enabled using AWS App Runner. Set up AWS Glue to consume the DynamoDB stream which will be processed by ECS. Re-factor the reporting module to use Amazon Kinesis Data Analytics.

Answer: A

Question 3

A DevOps engineer needs to configure an AWS CodePipeline pipeline that publishes container images to an Amazon ECR repository. The pipeline must wait for the previous run to finish and must run when new Git tags are pushed to a Git repository connected to AWS CodeConnections. An existing deployment pipeline must run in response to new container image publications. Which solution will meet these requirements?

A : Configure a CodePipeline V2 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all tags. Configure an EventBridge rule that matches container image pushes to start the existing deployment pipeline.

B : Configure a CodePipeline V2 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all branches. Configure an EventBridge rule that matches container image pushes to start the existing deployment pipeline.

C : Configure a CodePipeline V1 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all tags. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.

D : Configure a CodePipeline V1 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all branches. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.

Answer: A

Question 4

A company uses Amazon Redshift as its data warehouse solution. The company wants to create a dashboard to view changes to the Redshift users and the queries the users perform. Which combination of steps will meet this requirement? (Select TWO.)

A : Create an Amazon CloudWatch log group. Create an AWS CloudTrail trail that writes to the CloudWatch log group.

B : Create a new Amazon S3 bucket. Configure default audit logging on the Redshift cluster. Configure the S3 bucket as the target.

C : Configure the Redshift cluster database audit logging to include user activity logs. Configure Amazon CloudWatch as the target.

D : Create an Amazon CloudWatch dashboard that has a log widget. Configure the widget to display user details from the Redshift logs.

E : Create an AWS Lambda function that uses Amazon Athena to query the Redshift logs. Create an Amazon CloudWatch dashboard that has a custom widget type that uses the Lambda function.

Answer: B,D

Question 5

A company uses AWS Control Tower and Organizations for a multi-account environment. It needs to create new accounts and ensure they receive a consistent baseline configuration. Which solution meets the requirement with the least overhead?

A : Use Account Factory Customization (AFC) blueprints for baseline setup.

B : Use Account Factory + StackSets post-setup.

C : Use Organizations with Lambda applying baseline via access role.

D : Use Organizations + StackSets manually.

Answer: A