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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:
Sep 20, 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 has a data ingestion application that runs across multiple AWS accounts. The accounts are in an organization in AWS Organizations. The company needs to monitor the application and consolidate access to the application. Currently the company is running the application on Amazon EC2 instances from several Auto Scaling groups. The EC2 instances have no access to the internet because the data is sensitive Engineers have deployed the necessary VPC endpoints. The EC2 instances run a custom AMI that is built specifically tor the application.

To maintain and troubleshoot the application, system administrators need the ability to log in to the EC2 instances. This access must be automated and controlled centrally. The company ' s security team must receive a notification whenever the instances are accessed.

Which solution will meet these requirements?

Options:

A.

Create an Amazon EventBridge rule to send notifications to the security team whenever a user logs in to an EC2 instance Use EC2 Instance Connect to log in to the instances. Deploy Auto Scaling groups by using AWS Cloud Formation Use the cfn-init helper script to deploy appropriate VPC routes for external access Rebuild the custom AMI so that the custom AMI includes AWS Systems Manager Agent.

B.

Deploy a NAT gateway and a bastion host that has internet access Create a security group that allows incoming traffic on all the EC2 instances from the bastion host Install AWS Systems Manager Agent on all the EC2 instances Use Auto Scaling group lifecycle hooks for monitoring and auditing access Use Systems Manager Session Manager to log in to the instances Send logs to a log group m Amazon CloudWatch Logs. Export data to Amazon S3 for aud

C.

Use EC2 Image Builder to rebuild the custom AMI Include the most recent version of AWS Systems Manager Agent in the Image Configure the Auto Scaling group to attach the AmazonSSMManagedinstanceCore role to all the EC2 instances Use Systems Manager Session Manager to log in to the instances Enable logging of session details to Amazon S3 Create an S3 event notification for new file uploads to send a message to the security team through an Ama

D.

Use AWS Systems Manager Automation to build Systems Manager Agent into the custom AMI Configure AWS Configure to attach an SCP to the root organization account to allow the EC2 instances to connect to Systems Manager Use Systems Manager Session Manager to log in to the instances Enable logging of session details to Amazon S3 Create an S3 event notification for new file uploads to send a message to the security team through an Amazon Simple

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Question 2

A company uses an organization in AWS Organizations to manage multiple AWS accounts in multiple OUs. The company is planning to implement a comprehensive account management solution and wants to ensure consistent baseline configurations.

A DevOps engineer is developing a solution to automatically deploy AWS CloudFormation templates to new AWS accounts. The specific CloudFormation template that the solution deploys must vary based on which organizational unit (OU) each new account is placed in.

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

Options:

A.

Enable AWS Control Tower. Use Customizations for AWS Control Tower (CfCT) to deploy each CloudFormation template from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU.

B.

Enable AWS Control Tower. Build a pipeline in AWS CodePipeline to deploy the CloudFormation deployment from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU. After the code is updated in GitHub, initiate the pipeline and deploy the CloudFormation templates to the new AWS accoun

C.

Store the CloudFormation templates in an Amazon S3 bucket by using a separate prefix for each AWS account. Create an AWS Lambda function that deploys a specific CloudFormation template to each new AWS account based on the prefix path that indicates where each template is located in the S3 bucket.

D.

Store CloudFormation templates in an Amazon S3 bucket. Create an AWS Lambda function that deploys a specific CloudFormation template to the new AWS accounts based on the OU each new account is in. Create an Amazon EventBridge rule that matches " eventName " : " CreateAccountResult " and " state " : " SUCCEEDED. " Set the Lambda function as the target of the EventBridge rule.

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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