|Exam Name||AWS Certified DevOps Engineer - Professional|
|Update Date||May 29,2023|
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What is AWS Certified DevOps Engineer - Professional (DOP-C02) Exam?
The AWS Certified DevOps Engineer - Professional DOP-C02 is a certification offered by Amazon Web Services (AWS) that validates the expertise of individuals in designing, deploying, and operating applications on AWS using the principles and best practices of DevOps.
This certification is designed for experienced DevOps professionals who have a deep understanding of AWS services and hands-on experience with their deployment, automation, and management. The certification exam assesses a candidate's ability to implement and manage continuous delivery systems, automate security controls, and design, deploy, and operate highly available, scalable, and fault-tolerant systems on AWS.
To earn this certification, candidates must pass a two-part exam, which includes multiple-choice and hands-on components. The exam covers various topics, including AWS services and features, continuous delivery and deployment, monitoring and logging, security and compliance, and automation and optimization.
Overall, the AWS Certified DevOps Engineer - Professional DOP-C02 certification demonstrates that an individual has the skills and knowledge required to succeed in a DevOps role on the AWS platform.
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A company wants to set up a continuous delivery pipeline. The company stores application code in a private GitHub repository. The company needs to deploy the application components to Amazon Elastic Container Service (Amazon ECS). Amazon EC2, and AWS Lambda. The pipeline must support manual approval actions. Which solution will meet these requirements?
A. Use AWS CodePipeline with Amazon ECS. Amazon EC2, and Lambda as deploy providers.
B. Use AWS CodePipeline with AWS CodeDeploy as the deploy provider.
C. Use AWS CodePipeline with AWS Elastic Beanstalk as the deploy provider.
D. Use AWS CodeDeploy with GitHub integration to deploy the application.
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.
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.
A DevOps engineer is building a continuous deployment pipeline for a serverless application that uses AWS Lambda functions. The company wants to reduce the customer impact of an unsuccessful deployment. The company also wants to monitor for issues. Which deploy stage configuration will meet these requirements?
A. Use an AWS Serverless Application Model (AWS SAM) template to define the
serverless application. Use AWS CodeDeploy to deploy the Lambda functions with the
Canary10Percent15Minutes Deployment Preference Type. Use Amazon CloudWatch
alarms to monitor the health of the functions.
B. Use AWS CloudFormation to publish a new stack update, and include Amazon CloudWatch alarms on all resources. Set up an AWS CodePipeline approval action for a developer to verify and approve the AWS CloudFormation change set.
C. Use AWS CloudFormation to publish a new version on every stack update, and include Amazon CloudWatch alarms on all resources. Use the RoutingConfig property of the AWS::Lambda::Alias resource to update the traffic routing during the stack update.
D. Use AWS CodeBuild to add sample event payloads for testing to the Lambda functions. Publish a new version of the functions, and include Amazon CloudWatch alarms. Update the production alias to point to the new version. Configure rollbacks to occur when an alarm is in the ALARM state.
A DevOps engineer is building a multistage pipeline with AWS CodePipeline to build, verify, stage, test, and deploy an application. A manual approval stage is required between the test stage and the deploy stage. The development team uses a custom chat tool with webhook support that requires near-real-time notifications. How should the DevOps engineer configure status updates for pipeline activity and approval requests to post to the chat tool?
A. Create an Amazon CloudWatch Logs subscription that filters on CodePipeline Pipeline
Execution State Change. Publish subscription events to an Amazon Simple Notification
Service (Amazon SNS) topic. Subscribe the chat webhook URL to the SNS topic, and
complete the subscription validation.
B. Create an AWS Lambda function that is invoked by AWS CloudTrail events. When a CodePipeline Pipeline Execution State Change event is detected, send the event details to the chat webhook URL.
C. Create an Amazon EventBridge rule that filters on CodePipeline Pipeline Execution State Change. Publish the events to an Amazon Simple Notification Service (Amazon SNS) topic. Create an AWS Lambda function that sends event details to the chat webhook URL. Subscribe the function to the SNS topic.
D. Modify the pipeline code to send the event details to the chat webhook URL at the end of each stage. Parameterize the URL so that each pipeline can send to a different URL based on the pipeline environment.
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Amazon DOP-C02 Exam Sample Questions