Summer Certification Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

Amazon Web Services DOP-C02 Exam With Confidence Using Practice Dumps

Exam Code:
DOP-C02
Exam Name:
AWS Certified DevOps Engineer - Professional
Questions:
449
Last Updated:
Aug 1, 2026
Exam Status:
Stable
Amazon Web Services DOP-C02

DOP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Amazon Web Services DOP-C02 (AWS Certified DevOps Engineer - Professional) exam? Download the most recent Amazon Web Services DOP-C02 braindumps with answers that are 100% real. After downloading the Amazon Web Services DOP-C02 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Amazon Web Services DOP-C02 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Amazon Web Services DOP-C02 exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (AWS Certified DevOps Engineer - Professional) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA DOP-C02 test is available at CertsTopics. Before purchasing it, you can also see the Amazon Web Services DOP-C02 practice exam demo.

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A DevOps engineer needs to apply a core set of security controls to an existing set of AWS accounts. The accounts are in an organization in AWS Organizations. Individual teams will administer individual accounts by using the AdministratorAccess AWS managed policy. For all accounts. AWS CloudTrail and AWS Config must be turned on in all available AWS Regions. Individual account administrators must not be able to edit or delete any of the baseline resources. However, individual account administrators must be able to edit or delete their own CloudTrail trails and AWS Config rules.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

A.

Create an AWS CloudFormation template that defines the standard account resources. Deploy the template to all accounts from the organization ' s management account by using CloudFormation StackSets. Set the stack policy to deny Update:Delete actions.

B.

Enable AWS Control Tower. Enroll the existing accounts in AWS Control Tower. Grant the individual account administrators access to CloudTrail and AWS Config.

C.

Designate an AWS Config management account. Create AWS Config recorders in all accounts by using AWS CloudFormation StackSets. Deploy AWS Config rules to the organization by using the AWS Config management account. Create a CloudTrail organization trail in the organization’s management account. Deny modification or deletion of the AWS Config recorders by using an SCP.

D.

Create an AWS CloudFormation template that defines the standard account resources. Deploy the template to all accounts from the organization ' s management account by using Cloud Formation StackSets Create an SCP that prevents updates or deletions to CloudTrail resources or AWS Config resources unless the principal is an administrator of the organization ' s management account.

Buy Now
Question 2

A company wants to run a containerized application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that has private access enabled. The company needs to create a pipeline in AWS CodePipeline to deploy the application to the EKS cluster.

Which solution will meet this requirement?

Options:

A.

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

B.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

C.

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store the aws-auth ConfigMap to authenticate into the cluster.

D.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use the Amazon EKS cluster access management (CAM) API with the CodePipeline service role as an access entry.

Question 3

A DevOps engineer manages a Java-based application that runs in an Amazon Elastic Container Service (Amazon ECS) cluster on AWS Fargate. Auto scaling has not been configured for the application. The DevOps engineer has determined that the Java Virtual Machine (JVM) thread count is a good indicator of when to scale the application. The application serves customer traffic on port 8080 and makes JVM metrics available on port 9404. Application use has recently increased. The DevOps engineer needs to configure auto scaling for the application. Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Deploy the Amazon CloudWatch agent as a container sidecar. Configure the CloudWatch agent to retrieve JVM metrics from port 9404. Create CloudWatch alarms on the JVM thread count metric to scale the application. Add a step scaling policy in Fargate to scale up and scale down based on the CloudWatch alarms.

B.

Deploy the Amazon CloudWatch agent as a container sidecar. Configure a metric filter for the JVM thread count metric on the CloudWatch log group for the CloudWatch agent. Add a target tracking policy in Fargate. Select the metric from the metric filter as a scale target.

C.

Create an Amazon Managed Service for Prometheus workspace. Deploy AWS Distro for OpenTelemetry as a container sidecar to publish the JVM metrics from port 9404 to the Prometheus workspace. Configure rules for the workspace to use the JVM thread count metric to scale the application. Add a step scaling policy in Fargate. Select the Prometheus rules to scale up and scaling down.

D.

Create an Amazon Managed Service for Prometheus workspace. Deploy AWS Distro for OpenTelemetry as a container sidecar to retrieve JVM metrics from port 9404 to publish the JVM metrics from port 9404 to the Prometheus workspace. Add a target tracking policy in Fargate. Select the Prometheus metric as a scale target.