Free Amazon DOP-C02 Exam Questions

Question 1

A software team is using AWS CodePipeline to automate its Java application release pipeline. The pipeline consists of a source stage, then a build stage, and then a deploy stage. Each stage contains a single action that has a runOrder value of 1.

The team wants to integrate unit tests into the existing release pipeline. The team needs a solution that deploys only the code changes that pass all unit tests.

Which solution will meet these requirements?

A : Modify the build stage. Add a test action that has a runOrder value of 1. Use AWS CodeDeploy as the action provider to run unit tests.

B : Modify the build stage. Add a test action that has a runOrder value of 2. Use AWS CodeBuild as the action provider to run unit tests.

C : Modify the deploy stage. Add a test action that has a runOrder value of 1. Use AWS CodeDeploy as the action provider to run unit tests.

D : Modify the deploy stage. Add a test action that has a runOrder value of 2. Use AWS CodeBuild as the action provider to run unit tests.

Answer: C

Question 2

A development team manually builds a local artifact. The development team moves the artifact to an Amazon S3 bucket to support an application. The application has a local cache that must be cleared when the development team deploys the application to Amazon EC2 instances. For each deployment, the development team runs a command to clear the cache, download the artifact from the S3 bucket, and unzip the artifact to complete the deployment. The development team wants to migrate the deployment process to a CI/CD process and to track the progress of each deployment. Which combination of actions will meet these requirements with the MOST operational efficiency? (Select THREE.)

A : Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository. Use AWS CodeBuild to build an artifact and copy the object into the S3 bucket. Configure CodeBuild to run for every merge into the main branch.

B : Create a custom script to clear the cache. Specify the script in the BeforeInstall lifecycle hook in the AppSpec file.

C : Create user data for each EC2 instance that contains the cache clearing script. Test the application after deployment. If the deployment is not successful, then redeploy.

D : Use AWS CodePipeline to deploy the application. Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository as a source for the pipeline.

E : Use AWS CodeBuild to build the artifact and place the artifact in the S3 bucket. Use AWS CodeDeploy to deploy the artifact to EC2 instances.

F : Use AWS Systems Manager to fetch the artifact from the S3 bucket and to deploy the artifact to all the EC2 instances.

Answer: B,D,E

Question 3

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 4

The company's DevOps engineer discovered that the errors were caused by RDS connection limits being reached. The DevOps engineer also discovered that more than 90% of the API requests are GET requests that read from the DB cluster. How should the DevOps engineer solve this problem with the LEAST development effort?

A : Migrate from Amazon RDS to Amazon DynamoDB. Add an Amazon CloudFront distribution in front of the API Gateway REST API.

B : Add a proxy from Amazon RDS Proxy in front of the RDS DB cluster. Enable API caching in API Gateway.

C : Add an Amazon RDS Proxy in front of the RDS database cluster. Provision an Amazon ElastiCache (Redis OSS) cluster.

D : Migrate from Amazon RDS to Amazon DynamoDB. Enable API caching in API Gateway.

Answer: B

Question 5

A company is developing a serverless application that uses AWS Lambda, AWS SAM, and Amazon API Gateway. There is a requirement to fully automate the backend Lambda deployment in such a way that the deployment will automatically run whenever a new commit is pushed to an AWS CodeCommit repository. There should also be a separate environment pipeline for TEST and PROD environments. In addition, the TEST environment should be the only one that allows automatic deployment.

As a DevOps Engineer, who can you satisfy these requirements?

A : t up two pipelines using AWS CodePipeline for TEST and PROD environments. On both pipelines, set up a manual approval step for application deployment. Set up separate CodeCommit repositories for each environment and configure each pipeline to retrieve the source code from CodeCommit. Deploy the Lambda functions with AWS CloudFormation by setting up a deployment step in the pipeline.

B : t up two pipelines using AWS CodePipeline for TEST and PROD environments. Configure the PROD pipeline to have a manual approval step. Create a CodeCommit repository with a branch for each environment and configure the pipeline to retrieve the source code from CodeCommit according to its branch. Deploy the Lambda functions with AWS CloudFormation by setting up a deployment step in the pipeline.

C : t up two pipelines using AWS CodePipeline for TEST and PROD environments. In the PROD pipeline, set up a manual approval step for application deployment. Set up separate CodeCommit repositories for each environment and configure each pipeline to retrieve the source code from CodeCommit. Deploy the Lambda functions with AWS CloudFormation by setting up a deployment step in the pipeline.

D : eate a new pipeline using AWS CodePipeline and a new CodeCommit repository for each environment. Configure CodePipeline to retrieve the application source code from the appropriate repository. Deploy the Lambda functions with AWS CloudFormation by creating a deployment step in the pipeline.

Answer: B