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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:
425
Last Updated:
Mar 16, 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 discovers that its production environment and disaster recovery (DR) environment are deployed to the same AWS Region. All the production applications run on Amazon EC2 instances and are deployed by AWS CloudFormation. The applications use an Amazon FSx for NetApp ONTAP volume for application storage. No application data resides on the EC2 instances. A DevOps engineer copies the required AMIs to a new DR Region. The DevOps engineer also updates the CloudFormation code to accept a Region as a parameter. The storage needs to have an RPO of 10 minutes in the DR Region. Which solution will meet these requirements?

Options:

A.

Create an Amazon S3 bucket in both Regions. Configure S3 Cross-Region Replication (CRR) for the S3 buckets. Create a scheduled AWS Lambda function to copy any new content from the FSx for ONTAP volume to the S3 bucket in the production Region.

B.

Use AWS Backup to create a backup vault and a custom backup plan that has a 10-minute frequency. Specify the DR Region as the target Region. Assign the EC2 instances in the production Region to the backup plan.

C.

Create an AWS Lambda function to create snapshots of the instance store volumes that are attached to the EC2 instances. Configure the Lambda function to copy the snapshots to the DR Region and to remove the previous copies. Create an Amazon EventBridge scheduled rule that invokes the Lambda function every 10 minutes.

D.

Create an FSx for ONTAP instance in the DR Region. Configure a 5-minute schedule for a volume-level NetApp SnapMirror to replicate the volume from the production Region to the DR Region.

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Question 2

A DevOps team uses AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to deploy an application. The application is a REST API that uses AWS Lambda functions and Amazon API Gateway Recent deployments have introduced errors that have affected many customers.

The DevOps team needs a solution that reverts to the most recent stable version of the application when an error is detected. The solution must affect the fewest customers possible.

Which solution Will meet these requirements With the MOST operational efficiency?

Options:

A.

Set the deployment configuration in CodeDepIoy to LambdaAlIAtOnce Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

B.

Set the deployment configuration in CodeDeploy to LambdaCanary10Percent10Minutes. Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

C.

Set the deployment configuration in CodeDeploy to LambdaAllAtOnce Configure manual rollbacks on the deployment group. Create an Amazon Simple Notification Service (Amazon SNS) topc to send notifications every time a deployrnent fads. Configure the SNS topc to Invoke a new Lambda function that stops the current deployment and starts the most recent successful deployment

D.

Set the deployment configuration in CodeDeploy to LambdaCanaryIOPercentIOMinutes Configure manual rollbacks on the deployment group Create a metric filter on an Amazon CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors. Configure the metric filter to Invoke a new Lambda function that stops the current eployment and starts the most recent successful deployment

Question 3

A company runs an application on an Amazon Elastic Container Service (Amazon ECS) service by using the AWS Fargate launch type. The application consumes messages from an Amazon Simple Queue Service (Amazon SQS) queue. The application can take several minutes to process each message from the queue. When the application processes a message, the application reads a file from an Amazon S3 bucket and processes the data in the file. The application writes the processed output to a second S3 bucket. The company uses Amazon CloudWatch Logs to monitor processing errors and to ensure that the application processes messages successfully.

The SQS queue typically receives a low volume of messages. However, occasionally the queue receives higher volumes of messages. A DevOps engineer needs to implement a solution to reduce the processing time of message bursts.

Which solution will meet this requirement in the MOST cost-effective way?

Options:

A.

Register the ECS service as a scalable target in AWS Application Auto Scaling. Configure a target tracking scaling policy to scale the service in response to the queue size.

B.

Increase the maximum number of messages that Amazon SQS requests to batch messages together. Use long polling to minimize the number of API calls to Amazon SQS during periods of low traffic.

C.

Send messages to an Amazon EventBridge event bus instead of the SQS queue. Replace the ECS service with an EventBridge rule that launches ECS tasks in response to matching events.

D.

Create an Auto Scaling group of EC2 instances. Create a capacity provider in the ECS cluster by using the Auto Scaling group. Change the ECS service to use the EC2 launch type.