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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:
449
Last Updated:
Aug 14, 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 requires all its employees to access secrets and parameters through AWS Systems Manager Parameter Store. All secrets must automatically rotate every 60 days.

A DevOps engineer must add a new secret to give an application access to an Amazon ElastiCache (Redis OSS) cluster.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Create the secret in AWS Secrets Manager. Enable rotation. Set the rotation frequency to 60 days. Configure the application to reference the secret value by using the fully qualified path in Parameter Store.

B.

Create the secret in Parameter Store. Enable automatic rotation. Set the rotation frequency to 60 days. Configure the application to reference the secret value by using the fully qualified path in Parameter Store.

C.

Create the secret in Parameter Store. Create an AWS Lambda function to rotate the secret. Configure an Amazon EventBridge event to invoke the Lambda function every 60 days. Configure the application to provide the unique secret name to Parameter Store to retrieve the secret.

D.

Create the secret in AWS Secrets Manager. Enable rotation by AWS Lambda function. Use the Secrets Manager provided template for ElastiCache (Redis OSS) secrets. Set the rotation schedule to 60 days. Set a rotation window duration in Secrets Manager. Configure the application to provide the full reserved path to Parameter Store when the application accesses the secret.

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Question 2

A DevOps engineer is researching the least expensive way to implement an image batch processing cluster on AWS. The application cannot run in Docker containers and must run on Amazon EC2. The batch job stores checkpoint data on an NFS volume and can tolerate interruptions. Configuring the cluster software from a generic EC2 Linux image takes 30 minutes.

What is the MOST cost-effective solution?

Options:

A.

Use Amazon EFS (or checkpoint data. To complete the job, use an EC2 Auto Scaling group and an On-Demand pricing model to provision EC2 instances temporally.

B.

Use GlusterFS on EC2 instances for checkpoint data. To run the batch job configure EC2 instances manually When the job completes shut down the instances manually.

C.

Use Amazon EFS for checkpoint data Use EC2 Fleet to launch EC2 Spot Instances and utilize user data to configure the EC2 Linux instance on startup.

D.

Use Amazon EFS for checkpoint data Use EC2 Fleet to launch EC2 Spot Instances Create a custom AMI for the cluster and use the latest AMI when creating instances.

Question 3

A company requires an RPO of 2 hours and an RTO of 10 minutes for its data and application at all times. An application uses a MySQL database and Amazon EC2 web servers. The development team needs a strategy for failover and disaster recovery.

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

Options:

A.

Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store Use Aurora ' s automatic recovery capabilities in the event of a disaster

B.

Create an Amazon Aurora global database in two Regions as the data store. In the event of a failure promote the secondary Region as the primary for the application.

C.

Create an Amazon Aurora multi-master cluster across multiple Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions.

D.

Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application Load Balancers in both Regions. Use hearth checks to determine the availability in a given Region. Use Auto Scaling groups in each Region to adjust capacity based on demand.

E.

Set up the application m two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers to manage the capacity based on demand. In the event of a disaster adjust the Auto Scaling group ' s desired instance count to increase baseline capacity in the failover Region.

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