Free Amazon DOP-C02 Exam Questions

Question 1

A company has a suite of applications that are hosted in AWS and each app has its own AMI. Currently, a new AMI must be manually created and deployed to the server if there is a new application version. A DevOps engineer was instructed to automate the process of generating the AMIs to streamline the company's CI/CD workflow. The ID of the newly created AMI must be stored in a centralized location where other build pipelines can programmatically access it.

Which of the following is the MOST cost-effective way to accomplish this requirement with the LEAST amount of overhead?

A : t up a brand new pipeline in AWS CodePipeline with several EC2 instances for processing. Configure it to download and save the latest operating system of the application in an Open Virtualization Format (OVF) image format and then store the image in an S3 bucket. Customize the image using guestfish interactive shell or the virt-rescue shell. Convert the OVF to an AMI using the virtual machine (VM) import command and then store the AMI IDs in AWS Systems Manager Parameter Store.

B : ing AWS Systems Manager, create an Automation document with values that configure how the machine image should be created. Launch a new pipeline with a custom action in AWS CodePipeline and integrate it with Amazon Eventbridge to execute the automation document. Build the AMI when the process is triggered. Store the AMI IDs in Systems Manager Parameter Store.

C : an open-source machine image creation tool such as Packer then configure it with values defining how the AMI should be created. Set up a Jenkins pipeline hosted in a large EC2 instance to start the Packer when triggered to build an AMI. Store the AMI IDs to an Amazon DynamoDB table.

D : ing AWS CodePipeline, set up a new pipeline that will take an EBS snapshot of the EBS-backed EC2 instance which runs the latest version of each application. Launch a new EC2 instance from the generated snapshot and update the running instance using a Lambda function. Take a snapshot of the updated EC2 instance and then afterward, convert it to an Amazon Machine Image (AMI). Store all of the AMI IDs in an S3 bucket.

Answer: B

Question 2

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 3

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 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 SaaS company uses ECS (Fargate) behind an ALB and CodePipeline + CodeDeploy for blue/green deployments. They need automatic, incremental traffic shifting over time with no downtime. Which solution will meet these requirements?

A : Use TimeBasedLinear in appspec.yaml with defined percentage and interval.

B : Use AllAtOnce deployment configuration.

C : Use TimeBasedCanary.

D : Configure weighted routing on ALB manually.

Answer: A