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AWS Certified DevOps Engineer - Professional (DOP-C02) Exam

The AWS Certified DevOps Engineer - Professional (DOP-C02) exam is intended for individuals who perform a DevOps engineer role. The exam validates a candidate's technical expertise in provisioning, operating, and managing distributed systems and services on AWS. The exam also validates a candidate's ability to complete the following tasks:
• Implement and manage continuous delivery systems and methodologies on AWS.
• Implement and automate security controls, governance processes, and compliance validation.
• Define and deploy monitoring, metrics, and logging systems on AWS.
• Implement systems that are highly available, scalable, and self-healing on AWS.
• Design, manage, and maintain tools to automate operational processes.

The AWS Certified DevOps Engineer - Professional showcases individuals' technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform, giving them increased confidence and credibility with peers, stakeholders, and customers. Organizations with these qualified professionals can ensure speedy delivery of secure, compliant, systems that are highly available and scalable.

Exam Overview

Level: Professional
Length: 180 minutes to complete the exam
Cost: 300 USD 
Format: 75 questions, either multiple choice or multiple response.
Delivery method: Pearson VUE testing center or online proctored exam.
Languages: English, Japanese, Korean, and Simplified Chinese.

Content Outline

Domain 1: SDLC Automation 22%
Domain 2: Configuration Management and IaC 17%
Domain 3: Resilient Cloud Solutions 15%
Domain 4: Monitoring and Logging 15%
Domain 5: Incident and Event Response 14%
Domain 6: Security and Compliance 17%

View Online AWS Certified DevOps Engineer - Professional (DOP-C02) Free Questions

1. A company has its AWS accounts in an organization in AWS Organizations. AWS Config is manually configured in each AWS account. The company needs to implement a solution to centrally configure AWS Config for all accounts in the organization The solution also must record resource changes to a central account.
Which combination of actions should a DevOps engineer perform to meet these requirements? (Choose two.)
A.Configure a delegated administrator account for AWS Config. Enable trusted access for AWS Config in the organization.
B.Configure a delegated administrator account for AWS Config. Create a service-linked role for AWS Config in the organization’s management account.
C.Create an AWS CloudFormation template to create an AWS Config aggregator. Configure a CloudFormation stack set to deploy the template to all accounts in the organization.
D.Create an AWS Config organization aggregator in the organization's management account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.
E.Create an AWS Config organization aggregator in the delegated administrator account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.
Answer: B, D

2. A company provides an application to customers. The application has an Amazon API Gateway REST API that invokes an AWS Lambda function. On initialization, the Lambda function loads a large amount of data from an Amazon DynamoDB table. The data load process results in long cold-start times of 8-10 seconds. The DynamoDB table has DynamoDB Accelerator (DAX) configured.
Customers report that the application intermittently takes a long time to respond to requests. The application receives thousands of requests throughout the day. In the middle of the day, the application experiences 10 times more requests than at any other time of the day. Near the end of the day, the application's request volume decreases to 10% of its normal total.
A DevOps engineer needs to reduce the latency of the Lambda function at all times of the day.
Which solution will meet these requirements?
A.Configure provisioned concurrency on the Lambda function with a concurrency value of 1. Delete the DAX cluster for the DynamoDB table.
B.Configure reserved concurrency on the Lambda function with a concurrency value of 0.
C.Configure provisioned concurrency on the Lambda function. Configure AWS Application Auto Scaling on the Lambda function with provisioned concurrency values set to a minimum of 1 and a maximum of 100.
D.Configure reserved concurrency on the Lambda function. Configure AWS Application Auto Scaling on the API Gateway API with a reserved concurrency maximum value of 100.
Answer: C

3. A DevOps engineer manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple Availability Zones. The engineer needs to implement a deployment strategy that:
Launches a second fleet of instances with the same capacity as the original fleet.
Maintains the original fleet unchanged while the second fleet is launched.
Transitions traffic to the second fleet when the second fleet is fully deployed.
Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?
A.Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.
B.Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.
C.Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.
D.Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.
Answer: C

4. A DevOps engineer has automated a web service deployment by using AWS CodePipeline with the following steps:
1) An AWS CodeBuild project compiles the deployment artifact and runs unit tests.
2) An AWS CodeDeploy deployment group deploys the web service to Amazon EC2 instances in the staging environment.
3) A CodeDeploy deployment group deploys the web service to EC2 instances in the production environment.
The quality assurance (QA) team requests permission to inspect the build artifact before the deployment to the production environment occurs. The QA team wants to run an internal penetration testing tool to conduct manual tests. The tool will be invoked by a REST API call.
Which combination of actions should the DevOps engineer take to fulfill this request? (Choose two.)
A.Insert a manual approval action between the test actions and deployment actions of the pipeline.
B.Modify the buildspec.yml file for the compilation stage to require manual approval before completion.
C.Update the CodeDeploy deployment groups so that they require manual approval to proceed.
D.Update the pipeline to directly call the REST API for the penetration testing tool.
E.Update the pipeline to invoke an AWS Lambda function that calls the REST API for the penetration testing tool.
Answer: A, E

5. A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.
How should a DevOps engineer meet these requirements?
A.In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.
B.In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.
C.In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS for PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.
D.In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.
Answer: A