Amazon Web Services DOP-C02 Study & Exam Dumps 2025

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company has an organization in AWS Organizations with many OUs that contain many AWS accounts. The organization has a dedicated delegated administrator AWS account.

The company needs the accounts in one OU to have server-side encryption enforced for all Amazon Elastic Block Store (Amazon EBS) volumes and Amazon Simple Queue Service (Amazon SQS) queues that are created or updated on an AWS CloudFormation stack.

Which solution will enforce this policy before a CloudFormation stack operation in the accounts of this OU?

Options:

Activate trusted access to CloudFormation StackSets. Create a CloudFormation Hook that enforces server-side encryption on EBS volumes and SQS queues. Deploy the Hook across the accounts in the OU by using StackSets.

Set up AWS Config in all the accounts in the OU. Use AWS Systems Manager to deploy AWS Config rules that enforce server-side encryption for EBS volumes and SQS queues across the accounts in the OU.

Write an SCP to deny the creation of EBS volumes and SQS queues unless the EBS volumes and SQS queues have server-side encryption. Attach the SCP to the OU.

Create an AWS Lambda function in the delegated administrator account that checks whether server-side encryption is enforced for EBS volumes and SQS queues. Create an IAM role to provide the Lambda function access to the accounts in the OU.

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Question 2

A company ' s application has an API that retrieves workload metrics. The company needs to audit, analyze, and visualize these metrics from the application to detect issues at scale.

Which combination of steps will meet these requirements? (Select THREE).

Options:

Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon S3 bucket.

Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon DynamoDB table that has a DynamoDB stream enabled.

Create an AWS Glue crawler to catalog the workload metric data in the Amazon S3 bucket. Create views in Amazon Athena for the cataloged data.

Connect an AWS Glue crawler to the Amazon DynamoDB stream to catalog the workload metric data. Create views in Amazon Athena for the cataloged data.

Create Amazon QuickSight datasets from the Amazon Athena views. Create a QuickSight analysis to visualize the workload metric data as a dashboard.

Create an Amazon CloudWatch dashboard that has custom widgets that invoke AWS Lambda functions. Configure the Lambda functions to query the workload metrics data from the Amazon Athena views.

Question 3

A company has deployed a new platform that runs on Amazon Elastic Kubernetes Service (Amazon EKS). The new platform hosts web applications that users frequently update. The application developers build the Docker images for the applications and deploy the Docker images manually to the platform.

The platform usage has increased to more than 500 users every day. Frequent updates, building the updated Docker images for the applications, and deploying the Docker images on the platform manually have all become difficult to manage.

The company needs to receive an Amazon Simple Notification Service (Amazon SNS) notification if Docker image scanning returns any HIGH or CRITICAL findings for operating system or programming language package vulnerabilities.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files. Create a pipeline in AWS CodePipeline. Use an Amazon S3 event to invoke the pipeline when a newer version of the Dockerfile is committed. Add a stop to the pipeline to initiate the AWS CodeBuild project.

Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files. Create a pipeline in AWS CodePipeline. Use an Amazon EvenlBridge event to invoke the pipeline when a newer version of the Dockerfile is committed. Add a step to the pipeline to initiate the AWS CodeBuild project.

Create an AWS CodeBuild project that builds the Docker images and stores the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Turn on basic scanning for the ECR repository. Create an Amazon EventBridge rule that monitors Amazon GuardDuty events. Configure the EventBridge rule to send an event to an SNS topic when the finding-severity-counts parameter is more than 0 at a CRITICAL or HIGH level.

Create an AWS CodeBuild project that builds the Docker images and stores the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Turn on enhanced scanning for the ECR repository. Create an Amazon EventBridge rule that monitors ECR image scan events. Configure the EventBridge rule to send an event to an SNS topic when the finding-severity-counts parameter is more than 0 at a CRITICAL or HIGH level.

Create an AWS CodeBuild project that scans the Dockerfile. Configure the project to build the Docker images and store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository if the scan is successful. Configure an SNS topic to provide notification if the scan returns any vulnerabilities.

Answer:

B, D

Explanation:

 Step 1: Automate Docker Image Deployment using AWS CodePipeline

The first challenge is the manual process of building and deploying Docker images. To address this, you can use AWS CodePipeline to automate the process. AWS CodePipeline integrates with CodeCommit (for source code and Dockerfile storage) and CodeBuild (to build Docker images and store them in Amazon Elastic Container Registry (ECR)).

Action: Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files. Then, create a pipeline in AWS CodePipeline that triggers on new commits via an Amazon EventBridge event.

Why: This automation significantly reduces the manual effort of building and deploying Docker images when updates are made to the codebase.

[Reference: AWS documentation on AWS CodePipeline and CodeCommit Integration., This corresponds to Option B: Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files. Create a pipeline in AWS CodePipeline. Use an Amazon EventBridge event to invoke the pipeline when a newer version of the Dockerfile is committed. Add a step to the pipeline to initiate the AWS CodeBuild project.,  Step 2: Enabling Enhanced Scanning on Amazon ECR and Monitoring VulnerabilitiesTo scan for vulnerabilities in Docker images, Amazon ECR provides both basic and enhanced scanning options. Enhanced scanning offers deeper and more frequent scans, and integrates with Amazon EventBridge to send notifications based on findings., Action: Turn on enhanced scanning for the Amazon ECR repository where the Docker images are stored. Use Amazon EventBridge to monitor image scan events and trigger an Amazon SNS notification if any HIGH or CRITICAL vulnerabilities are found., Why: Enhanced scanning provides a detailed analysis of operating system and programming language package vulnerabilities, which can trigger notifications in real-time., Reference: AWS documentation on Enhanced Scanning for Amazon ECR., This corresponds to Option D: Create an AWS CodeBuild project that builds the Docker images and stores the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Turn on enhanced scanning for the ECR repository. Create an Amazon EventBridge rule that monitors ECR image scan events. Configure the EventBridge rule to send an event to an SNS topic when the finding-severity-counts parameter is more than 0 at a CRITICAL or HIGH level., , , , ]

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