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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 28, 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 used a lift-and-shift strategy to migrate a workload to AWS. The company has an Auto Scaling group of Amazon EC2 instances. Each EC2 instance runs a web application, a database, and a Redis cache.

Users are experiencing large variations in the web application ' s response times. Requests to the web application go to a single EC2 instance that is under significant load. The company wants to separate the application components to improve availability and performance.

Which solution will meet these requirements?

Options:

A.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Application Load Balancer and an Auto Scaling group for the Redis cache.

B.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create a Network Load Balancer and an Auto Scaling group in a single Availability Zone for the Redis cache.

C.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Amazon ElastiCache (Redis OSS) cluster for the cache. Create a target group that has a DNS target type that contains the ElastiCache (Redis OSS) cluster hostname.

D.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create an Amazon ElastiCache (Redis OSS) cluster for the cache.

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Question 2

A DevOps engineer is setting up an Amazon Elastic Container Service (Amazon ECS) blue/green deployment for an application by using AWS CodeDeploy and AWS CloudFormation. During the deployment window, the application must be highly available and CodeDeploy must shift 10% of traffic to a new version of the application every minute until all traffic is shifted.

Which configuration should the DevOps engineer add in the CloudFormation template to meet these requirements?

Options:

A.

Add an AppSpec file with the CodeDeployDefault.ECSLineaMOPercentEverylMinutes deployment configuration.

B.

Add the AWS::CodeDeployBlueGreen transform and the AWS::CodeDeploy::BlueGreen hook parameter with the CodeDeployDefault.ECSLinear10PercentEvery1 Minutes deployment configuration.

C.

Add an AppSpec file with the ECSCanary10Percent5Minutes deployment configuration.

D.

Add the AWS::CodeDeployBlueGroen transform and the AWS::CodeDeploy::BlueGreen hook parameter with the ECSCanary10Percent5Minutes deployment configuration.

Question 3

A company is developing a web application that runs on Amazon EC2 Linux instances. The application requires monitoring of custom performance metrics. The company must collect metrics for API response times and database query latency across multiple instances. Which solution will generate the custom metrics with the LEAST operational overhead?

Options:

A.

Install the Amazon CloudWatch agent on the instances. Configure the agent to collect the custom metrics. Instrument the application to send the metrics to the agent.

B.

Use Amazon Managed Service for Prometheus to scrape the custom metrics from the application. Use the Amazon CloudWatch agent to forward the metrics to CloudWatch.

C.

Create a custom AWS Lambda function that polls the application endpoints and database at regular intervals. Program the Lambda function to calculate the custom metrics and to send the metrics to Amazon CloudWatch by using PutMetricData API calls.

D.

Implement custom logging in the application code to record the custom metrics. Use Amazon CloudWatch Logs Insights to extract and analyze the metrics.

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