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The AWS-DevOps certification exam covers a broad range of topics, including continuous delivery and deployment, infrastructure as code, monitoring and logging, security, and compliance. Candidates are expected to have a strong understanding of AWS services such as EC2, S3, RDS, CloudFormation, CodePipeline, and CodeDeploy. They should also be familiar with DevOps tools and practices, such as Jenkins, Git, Docker, and Kubernetes, and have experience working in a DevOps environment.

The AWS-DevOps Exam is a challenging and rewarding certification that validates an individual's expertise in implementing and managing DevOps practices on the AWS platform. It is designed for experienced DevOps professionals who want to demonstrate their skills and achieve recognition for their expertise. If you are interested in pursuing a career in DevOps or want to advance your skills in this area, the AWS-DevOps Exam is an excellent way to demonstrate your knowledge and expertise.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q335-Q340):

NEW QUESTION # 335
A company has developed an AWS Lambda function that handles orders received through an API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a CI/CD pipeline.
A DevOps Engineer has notices there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes not having fully propagated before the lambda function begins executing.
How should the DevOps Engineer overcome this?

• A. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
• B. Add an AfterAllowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
• C. Add a ValidateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready
• D. Add a BeforeInstall hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function

Answer: A

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure- hooks.html#appspec-hooks-lambda

NEW QUESTION # 336
What are the benefits when you implement a Blue Green deployment for your infrastructure or application level changes. Choose 3 answers from the options given below

• A. Betterrollback capabilities
• B. Nearzero-downtime release for new changes
• C. Abilityto deploy with higher risk
• D. Goodturnaround time for application deployments

Answer: A,B,D

Explanation:
Explanation
The AWS Documentation mentions the following
Blue/green deployments provide near zero-downtime release and rollback capabilities. The fundamental idea behind blue/green deployment is to shift traffic between two identical environments that are running different versions of your application. The blue environment represents the current application version serving production traffic. In parallel, the green environment is staged running a different version of your application.
After the green environment is ready and tested, production traffic is redirected from blue to green.
For more information on Blue Green deployments please see the below link:
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

NEW QUESTION # 337
A company has a single Developer writing code for an automated deployment pipeline. The Developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more Developers to the team but is concerned about code conflicts and lost work. The company also wants to build a test environment to deploy newer versions of code for testing and allow Developers to automatically deploy to both environments when code is changed in the repository.
What is the MOST efficient way to meet these requirements?

• A. Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets. Enable versioning on all buckets to prevent code conflicts.
• B. Create an AWS CodeCommit repository for each project, and use the master branch for production and test code with different deployment pipelines for each environment. Use feature branches to develop new features.
• C. Enable versioning and branching on each S3 bucket, use the master branch for production code, and create a testing branch for code deployed to testing. Have Developers use each branch for developing in each environment.
• D. Create an AWS CodeCommit repository for each project, use the master branch for production code, and create a testing branch for code deployed to testing. Use feature branches to develop new features and pull requests to merge code to testing and master branches.

Answer: D

NEW QUESTION # 338
An online company uses Amazon EC2 Auto Scaling extensively to provide an excellent customer experience while minimizing the number of running EC2 instances. The company's self-hosted Puppet environment in the application layer manages the configuration of the instances. The IT manager wants the lowest licensing costs and wants to ensure that whenever the EC2 Auto Scaling group scales down, removed EC2 instances are deregistered from the Puppet master as soon as possible. How can the requirement be met?

• A. At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 user data instance stop script to run a script to de-register the instance from the Puppet master.
• B. Bake the AWS CodeDeploy agent into the base AMI. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and execute a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the CodeDeploy ApplicationStop lifecycle hook to run a script to de-register the instance from the Puppet master.
• C. At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. Use CodeDeploy to install the Puppet agent. When the Auto Scaling group scales out, run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 Auto Scaling lifecycle hook to trigger de-registration from the Puppet master. EC2_INSTANCE_TERMINATING
• D. Bake the AWS Systems Manager agent into the base AMI. When the Auto Scaling group scales out, use the AWS Systems Manager to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the Systems Manager instance stop lifecycle hook to run a script to de-register the instance from the Puppet master.

Answer: A

NEW QUESTION # 339
You have ana video processing application hosted in AWS. The video's are uploaded by users onto the site.
You have a program that is custom built to process those videos. The program is able to recover incase there are any failures when processing the videos. Which of the following mechanisms can be used to deploy the instances for carrying out the video processing activities, ensuring that the cost is kept at a minimum.

• A. Create a launch configuration with Reserved Instances. Ensure the User Data section details the installation of the custom software. Create an Autoscalinggroup with the launch configuration.
• B. Create a launch configuration with Spot Instances. Ensure the User Data section details the installation of the custom software. Create an Autoscalinggroupwith the launch configuration.
• C. Create a launch configuration with On-Demand Instances. Ensure the User Data section details the installation of the custom software. Create an Autoscaling group with the launch configuration.
• D. Create a launch configuration with Dedicated Instances. Ensure the User Data section details the installation of the custom software. Create an Autoscaling group with the launch configuration.

Answer: B

Explanation:
Explanation
Since the application can recover from failures and cost is the priority, then Spot instances are the best bet for this requirement. The launch configuration has the facility to request for Spot Instances.
The below snapshot from the Launch configuration section shows that Spot Instances can be used for AutoScaling Groups.

For more information on Spot Instances and Autoscaling, please visit the below URL:
* http://docs

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