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

Exam Code:
DOP-C02
Exam Name:
AWS Certified DevOps Engineer - Professional
Certification:
AWS Certified Professional
Vendor:
Amazon Web Services
Questions:
425
Last Updated:
Mar 23, 2026
Exam Status:
Stable
Amazon Web Services DOP-C02

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

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AWS Certified DevOps Engineer - Professional Questions and Answers

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Question 1

A company has chosen AWS to host a new application. The company needs to implement a multi-account strategy. A DevOps engineer creates a new AWS account and an organization in AWS Organizations. The DevOps engineer also creates the OU structure for the organization and sets up a landing zone by using AWS Control Tower.

The DevOps engineer must implement a solution that automatically deploys resources for new accounts that users create through AWS Control Tower Account Factory. When a user creates a new account, the solution must apply AWS CloudFormation templates and SCPs that are customized for the OU or the account to automatically deploy all the resources that are attached to the account. All the OUs are enrolled in AWS Control Tower.

Which solution will meet these requirements in the MOST automated way?

Options:

A.

Use AWS Service Catalog with AWS Control Tower. Create portfolios and products in AWS Service Catalog. Grant granular permissions to provision these resources. Deploy SCPs by using the AWS CLI and JSON documents.

B.

Deploy CloudFormation stack sets by using the required templates. Enable automatic deployment. Deploy stack instances to the required accounts. Deploy a CloudFormation stack set to the organization’s management account to deploy SCPs.

C.

Create an Amazon EventBridge rule to detect the CreateManagedAccount event. Configure AWS Service Catalog as the target to deploy resources to any new accounts. Deploy SCPs by using the AWS CLI and JSON documents.

D.

Deploy the Customizations for AWS Control Tower (CfCT) solution. Use an AWS CodeCommit repository as the source. In the repository, create a custom package that includes the CloudFormation templates and the SCP JSON documents.

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Question 2

A company wants to use a grid system for a proprietary enterprise m-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes an /etc./cluster/nodes config file must be updated listing the IP addresses of the current node members of that cluster.

The company wants to automate the task of adding new nodes to a cluster.

What can a DevOps engineer do to meet these requirements?

Options:

A.

Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the ' etc./cluster/nodes config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.

B.

Put the file nodes config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for thecluster nodes. When adding a new node to the cluster update the file with all tagged instances and make a commit in version control. Deploy the new file and restart the services.

C.

Create an Amazon S3 bucket and upload a version of the /etc./cluster/nodes config file Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager such as Monit or system, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster edit the file ' s most recent members Upload the new file to the S3 bucket.

D.

Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/. nodes config. Tile whenever a new instance is added to the cluster.

Question 3

A company is storing 100 GB of log data in .csv format in an Amazon S3 bucket. SQL developers want to query this data and generate graphs to visualize it. The SQL developers also need an efficient, automated way to store metadata from the .csv file. Which combination of steps will meet these requirements with the LEAST amount of effort? (Select THREE.)

Options:

A.

Filter the data through AWS X-Ray to visualize the data.

B.

Filter the data through Amazon QuickSight to visualize the data.

C.

Query the data with Amazon Athena.

D.

Use the AWS Glue Data Catalog as the persistent metadata store.

E.

Use Amazon DynamoDB as the persistent metadata store.

F.

Query the data with Amazon Redshift.

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