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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
Questions:
425
Last Updated:
Apr 29, 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

Question 1

A company discovers that its production environment and disaster recovery (DR) environment are deployed to the same AWS Region. All the production applications run on Amazon EC2 instances and are deployed by AWS CloudFormation. The applications use an Amazon FSx for NetApp ONTAP volume for application storage. No application data resides on the EC2 instances. A DevOps engineer copies the required AMIs to a new DR Region. The DevOps engineer also updates the CloudFormation code to accept a Region as a parameter. The storage needs to have an RPO of 10 minutes in the DR Region. Which solution will meet these requirements?

Options:

A.

Create an Amazon S3 bucket in both Regions. Configure S3 Cross-Region Replication (CRR) for the S3 buckets. Create a scheduled AWS Lambda function to copy any new content from the FSx for ONTAP volume to the S3 bucket in the production Region.

B.

Use AWS Backup to create a backup vault and a custom backup plan that has a 10-minute frequency. Specify the DR Region as the target Region. Assign the EC2 instances in the production Region to the backup plan.

C.

Create an AWS Lambda function to create snapshots of the instance store volumes that are attached to the EC2 instances. Configure the Lambda function to copy the snapshots to the DR Region and to remove the previous copies. Create an Amazon EventBridge scheduled rule that invokes the Lambda function every 10 minutes.

D.

Create an FSx for ONTAP instance in the DR Region. Configure a 5-minute schedule for a volume-level NetApp SnapMirror to replicate the volume from the production Region to the DR Region.

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Question 2

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.

Question 3

A DevOps engineer uses AWS CodeBuild to frequently produce software packages. The CodeBuild project builds large Docker images that the DevOps engineer can use across multiple builds. The DevOps engineer wants to improve build performance and minimize costs. Which solution will meet these requirements?

Options:

A.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.

B.

Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.

C.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.

D.

Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.