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Amazon DOP-C02 Exam is a professional-level certification offered by Amazon Web Services (AWS) for individuals who want to demonstrate their expertise in DevOps practices and tools. AWS Certified DevOps Engineer - Professional certification is intended for experienced DevOps professionals who have a deep understanding of the AWS platform and can design, implement, and manage DevOps solutions at scale.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q126-Q131):

NEW QUESTION # 126
A DevOps engineer is architecting a continuous development strategy for a company's software as a service (SaaS) web application running on AWS. For application and security reasons users subscribing to this application are distributed across multiple. Application Load Balancers (ALBs) each of which has a dedicated Auto Scaling group and fleet of Amazon EC2 instances The application does not require a build stage and when it is committed to AWS CodeCommit, the application must trigger a simultaneous deployment to all ALBs Auto Scaling groups and EC2 fleets.
Which architecture will meet these requirements with the LEAST amount of configuration?

A. Create a single AWS CodePipeline pipeline that deploys the application using a single AWS CodeDeploy application and single deployment group.
B. Create a single AWS CodePipeline pipeline that deploys the application in parallel using a single AWS CodeDeploy application and unique deployment group for each ALB-Auto Scaling group pair.
C. Create an AWS CodePipeline pipeline for each ALB-Auto Scaling group pair that deploys the application using an AWS CodeDeploy application and deployment group created for the same ALB-Auto Scaling group pair.
D. Create a single AWS CodePipeline pipeline that deploys the application in parallel using unique AWS CodeDeploy applications and deployment groups created for each ALB-Auto Scaling group pair.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployment-groups.html

NEW QUESTION # 127
A development team manually builds an artifact locally and then places it in an Amazon S3 bucket. The application has a local cache that must be cleared when a deployment occurs. The team runs a command to do this downloads the artifact from Amazon S3 and unzips the artifact to complete the deployment.
A DevOps team wants to migrate to a CI/CD process and build in checks to stop and roll back the deployment when a failure occurs. This requires the team to track the progression of the deployment.
Which combination of actions will accomplish this? (Select THREE)

A. Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.
B. Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.
C. Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.
D. Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.
E. Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.
F. Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

Answer: C,D,F

NEW QUESTION # 128
A company runs an application with an Amazon EC2 and on-premises configuration. A DevOps engineer needs to standardize patching across both environments. Company policy dictates that patching only happens during non-business hours.
Which combination of actions will meet these requirements? (Choose three.)

A. Use AWS Systems Manager Maintenance Windows to schedule a patch window.
B. Run an AWS Systems Manager Automation document to patch the systems every hour.
C. Attach an IAM role to the EC2 instances, allowing them to be managed by AWS Systems Manager.
D. Add the physical machines into AWS Systems Manager using Systems Manager Hybrid Activations.
E. Use Amazon EventBridge scheduled events to schedule a patch window.
F. Create IAM access keys for the on-premises machines to interact with AWS Systems Manager.

Answer: A,C,D

Explanation:
Explanation
https://docs.aws.amazon.com/systems-manager/latest/userguide/sysman-managed-instance-activation.html

NEW QUESTION # 129
A company's security policies require the use of security hardened AMIS in production environments. A DevOps engineer has used EC2 Image Builder to create a pipeline that builds the AMIs on a recurring schedule.
The DevOps engineer needs to update the launch templates of the companys Auto Scaling groups. The Auto Scaling groups must use the newest AMIS during the launch of Amazon EC2 instances.
Which solution will meet these requirements with the MOST operational efficiency?

A. Configure the Image Builder distribution settings to update the launch templates with the newest AMI ID. Configure the Auto Scaling groups to use the newest version of the launch template.
B. Configure the launch template to use a value from AWS Systems Manager Parameter Store for the AMI ID. Configure the Image Builder pipeline to update the Parameter Store value with the newest AMI ID.
C. Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Systems Manager Run Command document that updates the launch templates of the Auto Scaling groups with the newest AMI ID.
D. Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Lambda function that updates the launch templates of the Auto Scaling groups with the newest AMI ID.

Answer: B

Explanation:
Explanation
The most operationally efficient solution is to use AWS Systems Manager Parameter Store1 to store the AMI ID and reference it in the launch template2. This way, the launch template does not need to be updated every time a new AMI is created by Image Builder. Instead, the Image Builder pipeline can update the Parameter Store value with the newest AMI ID3, and the Auto Scaling group can launch instances using the latest value from Parameter Store.
The other solutions require updating the launch template or creating a new version of it every time a new AMI is created, which adds complexity and overhead. Additionally, using EventBridge rules and Lambda functions or Run Command documents introduces additional dependencies and potential points of failure.
References: 1: AWS Systems Manager Parameter Store 2: Using AWS Systems Manager parameters instead of AMI IDs in launch templates 3: Update an SSM parameter with Image Builder

NEW QUESTION # 130
A company that runs many workloads on AWS has an Amazon EBS spend that has increased over time. The DevOps team notices there are many unattached EBS volumes. Although there are workloads where volumes are detached, volumes over 14 days old are stale and no longer needed. A DevOps engineer has been tasked with creating automation that deletes unattached EBS volumes that have been unattached for 14 days.
Which solution will accomplish this?

A. Use AWS Trusted Advisor to detect EBS volumes that have been detached for more than 14 days. Execute an AWS Lambda function that creates a snapshot and then deletes the EBS volume.
B. Configure the AWS Config ec2-volume-inuse-check managed rule with a configuration changes trigger type and an Amazon EC2 volume resource target. Create a new Amazon CloudWatch Events rule scheduled to execute an AWS Lambda function in 14 days to delete the specified EBS volume.
C. Use Amazon EC2 and Amazon Data Lifecycle Manager to configure a volume lifecycle policy. Set the interval period for unattached EBS volumes to 14 days and set the retention rule to delete. Set the policy target volumes as *.
D. Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old.

Answer: D

Explanation:
The requirement is to create automation that deletes unattached EBS volumes that have been unattached for 14 days. To do this, the DevOps engineer needs to use the following steps:
Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. CloudWatch Events is a service that enables event-driven architectures by delivering events from various sources to targets. Lambda is a service that lets you run code without provisioning or managing servers. By creating a CloudWatch Events rule that executes a Lambda function daily, the DevOps engineer can schedule a recurring task to check and delete unattached EBS volumes.
The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old. The Lambda function can use the EC2 API to list and filter unattached EBS volumes based on their state and tags. The function can then tag each unattached volume with the current date using the create-tags command. The function can also compare the tag value with the current date and delete any unattached volume that has been tagged more than 14 days ago using the delete-volume command.

NEW QUESTION # 131
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