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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:
Apr 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 is using an Amazon Aurora cluster as the data store for its application. The Aurora cluster is configured with a single DB instance. The application performs read and write operations on the database by using the cluster ' s instance endpoint.

The company has scheduled an update to be applied to the cluster during an upcoming maintenance window. The cluster must remain available with the least possible interruption during the maintenance window.

What should a DevOps engineer do to meet these requirements?

Options:

A.

Add a reader instance to the Aurora cluster. Update the application to use the Aurora cluster endpoint for write operations. Update the Aurora cluster ' s reader endpoint for reads.

B.

Add a reader instance to the Aurora cluster. Create a custom ANY endpoint for the cluster. Update the application to use the Aurora cluster ' s custom ANY endpoint for read and write operations.

C.

Turn on the Multi-AZ option on the Aurora cluster. Update the application to use the Aurora cluster endpoint for write operations. Update the Aurora cluster’s reader endpoint for reads.

D.

Turn on the Multi-AZ option on the Aurora cluster. Create a custom ANY endpoint for the cluster. Update the application to use the Aurora cluster ' s custom ANY endpoint for read and write operations.

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Question 2

A company uses AWS Lambda functions in the primary operating AWS Region of its AWS account. The company manually created the Lambda functions.

The company needs to use a Python-based AWS Cloud Development Kit (AWS CDK) application to manage the Lambda functions.

Which solution meets these requirements with the LEAST implementation effort?

Options:

A.

Start a partial scan by using the AWS CloudFormation IaC generator. Filter by the Lambda resource type. Create an AWS CDK app from the scanned resources.

B.

Start a partial scan by using the AWS CloudFormation IaC generator. Filter by the Lambda resource type. Create a CloudFormation template from the scanned resources. Convert the template to an AWS CDK app.

C.

Start a partial scan by using the AWS CloudFormation IaC generator. Filter by the Lambda resource type. Create a CloudFormation template. Replace the code properties, then convert the template to an AWS CDK app.

D.

Create a resource inventory by using AWS Config. Filter by the Lambda resource type. Export the inventory to a .csv file. Write an AWS CDK app that references the Lambda functions from the .csv file.

Question 3

A company uses a trunk-based development branching strategy. The company has two AWS CodePipeline pipelines that are integrated with a Git provider. The pull_request pipeline has a branch filter that matches the feature branches. The main_branch pipeline has a branch filter that matches the main branch.

When pull requests are merged into the main branch, the pull requests are deployed by using the main_branch pipeline. The company ' s developers need test results for all submitted pull requests as quickly as possible from the pull_request pipeline. The company wants to ensure that the main_branch pipeline ' s test results finish and that each deployment is complete before the next pipeline execution.

Which solution will meet these requirements?

Options:

A.

Configure the pull_request pipeline to use SUPERSEDED mode. Configure the main_branch pipeline to use QUEUED mode.

B.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use QUEUED mode.

C.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use SUPERSEDED mode.

D.

Configure the pull_request pipeline to use QUEUED mode. Configure the main_branch pipeline to use SUPERSEDED mode.

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