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The AWS Certified DevOps Engineer - Professional certification exam consists of multiple-choice questions and requires a passing score of 750 out of 1000 points. DOP-C02 Exam is proctored and can be taken online or at a testing center. Candidates have 180 minutes to complete the exam, and the cost is $300 USD. Upon passing the exam, candidates will receive their AWS Certified DevOps Engineer - Professional certification, which is valid for three years.

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The AWS Certified DevOps Engineer - Professional certification exam is a valuable credential for professionals in DevOps roles who work with AWS. It validates their understanding of key concepts and best practices for implementing and managing DevOps practices on AWS, and demonstrates their ability to design, deploy, and operate scalable and secure systems.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q256-Q261):

NEW QUESTION # 256
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?

A. 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.
B. 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.
C. 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.
D. 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.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
AWS recommends Application Auto Scaling for ECS services to dynamically adjust the number of running tasks based on Amazon SQS queue metrics such as ApproximateNumberOfMessagesVisible. By using target tracking scaling policies, ECS on Fargate scales automatically when the queue backlog grows and scales down when traffic decreases - a fully managed, cost-efficient solution (see ECS Service Auto Scaling Developer Guide).

NEW QUESTION # 257
A company needs to implement failover for its application. The application includes an Amazon CloudFront distribution and a public Application Load Balancer (ALB) in an AWS Region. The company has configured the ALB as the default origin for the distribution.
After some recent application outages, the company wants a zero-second RTO. The company deploys the application to a secondary Region in a warm standby configuration. A DevOps engineer needs to automate the failover of the application to the secondary Region so that HTTP GET requests meet the desired RTO.
Which solution will meet these requirements?

A. Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. Update the default behavior to use the origin group.
B. Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.
C. Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a 307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes. Update the distribution's default behavior to send origin responses to the function.
D. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to 0. Update the distribution's origin to use the new record set.

Answer: A

Explanation:
The best solution to implement failover for the application is to use CloudFront origin groups. Origin groups allow CloudFront to automatically switch to a secondary origin when the primary origin is unavailable or returns specific HTTP status codes that indicate a failure1. This way, CloudFront can serve the requests from the secondary ALB in the secondary Region without any delay or redirection. To set up origin groups, the DevOps engineer needs to create a new origin on the distribution for the secondary ALB, create a new origin group with the original ALB as the primary origin and the secondary ALB as the secondary origin, and configure the origin group to fail over for HTTP 5xx status codes. Then, the DevOps engineer needs to update the default behavior to use the origin group instead of the single origin2.
The other options are not as effective or efficient as the solution in option B. Option A is not suitable because creating a second CloudFront distribution will increase the complexity and cost of the application. Moreover, using Route 53 alias records with a failover policy will introduce some delay in detecting and switching to the secondary CloudFront distribution, which may not meet the zero-second RTO requirement. Option C is not feasible because CloudFront does not support using Route 53 alias records as origins3. Option D is not advisable because using a CloudFront function to redirect the requests to the secondary ALB will add an extra round-trip and latency to the failover process, which may also not meet the zero-second RTO requirement.
Reference:
1: Optimizing high availability with CloudFront origin failover - Amazon CloudFront
2: Creating an origin group - Amazon CloudFront
3: Values That You Specify When You Create or Update a Web Distribution - Amazon CloudFront

NEW QUESTION # 258
A company uses an AWS CodeCommit repository to store its source code and corresponding unit tests. The company has configured an AWS CodePipeline pipeline that includes an AWS CodeBuild project that runs when code is merged to the main branch of the repository.
The company wants the CodeBuild project to run the unit tests. If the unit tests pass, the CodeBuild project must tag the most recent commit.
How should the company configure the CodeBuild project to meet these requirements?

A. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.
B. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.
C. Configure the CodeBuild project to use AWS CLI commands to copy the code from the CodeCommit repository. Configure the project lo run the unit tests. Configure the project to use AWS CLI commands to create a new Git tag in the repository if the code passes the unit tests.
D. Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use AWS CLI commands to create a new repository tag in the repository if the code passes the unit tests.

Answer: B

Explanation:
* Step 1: Using Native Git in CodeBuildTo meet the requirement of running unit tests and tagging the most recent commit if thetests pass, the CodeBuild project should be configured to use native Git to clone the CodeCommit repository. Native Git support allows full functionality for managing the repository, including the ability to create and push tags.
* Action:Configure the CodeBuild project to use native Git to clone the repository and run the tests.
* Why:Using native Git provides flexibility for managing tags and other repository operations after the tests are successfully executed.
* Step 2: Tagging the Most Recent CommitOnce the unit tests pass, the CodeBuild project can use native Git to create a tag for the most recent commit and push that tag to the repository. This ensures that the tagged commit is linked to the test results.
* Action:Configure the project to use native Git to create and push a tag to the repository if the tests pass.
* Why:This ensures the correct commit is tagged automatically, streamlining the workflow.

NEW QUESTION # 259
A development team manually builds a local artifact. The development team moves the artifact to an Amazon S3 bucket to support an application. The application has a local cache that must be cleared when the development team deploys the application to Amazon EC2 instances. For each deployment, the development team runs a command to clear the cache, download the artifact from the S3 bucket, and unzip the artifact to complete the deployment.
The development team wants to migrate the deployment process to a CI/CD process and to track the progress of each deployment.
Which combination of actions will meet these requirements with the MOST operational efficiency? (Select THREE.)

A. Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository. Use AWS CodeBuild to build an artifact and copy the object into the S3 bucket. Configure CodeBuild to run for every merge into the main branch.
B. Use AWS Systems Manager to fetch the artifact from the S3 bucket and to deploy the artifact to all the EC2 instances.
C. Use AWS CodePipeline to deploy the application. Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository as a source for the pipeline.
D. Create user data for each EC2 instance that contains the cache clearing script. Test the application after deployment. If the deployment is not successful, then redeploy.
E. Create a custom script to clear the cache. Specify the script in the BeforeInstall lifecycle hook in the AppSpec file.
F. Use AWS CodeBuild to build the artifact and place the artifact in the S3 bucket. Use AWS CodeDeploy to deploy the artifact to EC2 instances.

Answer: C,E,F

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
Use CodePipeline with a Git source to orchestrate the flow, CodeBuild to produce versioned artifacts in S3, and CodeDeploy to EC2 with lifecycle hooks (e.g., BeforeInstall) to run cache-clearing and unpack steps.
This gives end-to-end visibility, rollbacks, and standardized deployments.

NEW QUESTION # 260
A DevOps engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with codeDeployDefault.oneAtATime During an ongoing new deployment, the engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision What is likely causing this issue?

A. The two affected instances failed to fetch the new deployment.
B. A failed Afterinstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances
C. The CodeDeploy agent was not installed in two affected instances.
D. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.

Answer: B

Explanation:
Explanation
When AWS CodeDeploy performs an in-place deployment, it updates the instances with the new application revision one at a time, as specified by the deployment configuration codeDeployDefault.oneAtATime. If a lifecycle event hook, such as AfterInstall, fails during the deployment, CodeDeploy will attempt to roll back to the previous version on the affected instances. This is likely what happened with the two instances that still have the previous application revision deployed. The failure of the AfterInstall lifecycle event hook triggered the rollback mechanism, resulting in those instances reverting to the previous application revision.
References:
* AWS CodeDeploy documentation on redeployment and rollback procedures1.
* Stack Overflow discussions on re-deploying older revisions with AWS CodeDeploy2.
* AWS CLI reference guide for deploying a revision2.

NEW QUESTION # 261
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