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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:
419
Last Updated:
Feb 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

Question 1

A company uses Amazon API Gateway and AWS Lambda functions to implement an API. The company uses a pipeline in AWS CodePipeline to build and deploy the API. The pipeline contains a source stage, build stage, and deployment stage.

The company deploys the API without performing smoke tests. Soon after the deployment, the company observes multiple issues with the API. A security audit finds security vulnerabilities in the production code.

The company wants to prevent these issues from happening in the future.

Which combination of steps will meet this requirement? (Select TWO.)

Options:

A.

Create a smoke test script that returns an error code if the API code fails the test. Add an action in the deployment stage to run the smoke test script after deployment. Configure the deployment stage for automatic rollback.

B.

Create a smoke test script that returns an error code if the API code fails the test. Add an action in the deployment stage to run the smoke test script after deployment. Configure the deployment stage to fail if the smoke test script returns an error code.

C.

Add an action in the build stage that uses Amazon Inspector to scan the Lambda function code after the code is built. Configure the build stage to fail if the scan returns any security findings. D. Add an action in the build stage to run an Amazon CodeGuru code scan after the code is built. Configure the build stage to fail if the scan returns any security findings.

D.

Add an action in the deployment stage to run an Amazon CodeGuru code scan after deployment. Configure the deployment stage to fail if the scan returns any security findings.

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Question 2

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.

Question 3

A company manages an application that stores logs in Amazon CloudWatch Logs. The company wants to archive the logs to an Amazon S3 bucket Logs are rarely accessed after 90 days and must be retained tor 10 years.

Which combination of steps should a DevOps engineer take to meet these requirements? (Select TWO.)

Options:

A.

Configure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.

B.

Configure a CloudWatch Logs subscription filter to use Amazon Kinesis Data Firehose to stream all logs to an S3 bucket.

C.

Configure a CloudWatch Logs subscription fitter to stream all logs to an S3 bucket.

D.

Configure the S3 bucket lifecycle policy to transition logs to S3 Glacier after 90 days and to expire logs after 3.650 days.

E.

Configure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3.650 days.