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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: SDLC Automation	22%	- CI/CD pipeline design and implementation 1. Build and deployment automation 2. Pipeline optimization and scaling
Topic 2: Security and Compliance Automation	13%	- Security automation in CI/CD and infrastructure 1. Compliance monitoring and auditing 2. IAM policy automation and governance
Topic 3: Configuration Management and Infrastructure as Code	17%	- Infrastructure provisioning and automation 1. AWS CloudFormation and CDK usage 2. Configuration tools and automation strategies
Topic 4: Monitoring and Logging	15%	- Observability and metrics 1. CloudWatch monitoring and alarms 2. Log aggregation and analysis
Topic 5: Incident and Event Management	18%	- Operational response and recovery 1. Automated event-driven responses 2. Incident detection and remediation
Topic 6: Resilient Cloud Solutions	15%	- High availability and fault tolerance design 1. Multi-AZ and multi-region architectures 2. Disaster recovery strategies

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q134-Q139):

NEW QUESTION # 134
A company in a highly regulated industry is building an artifact by using AWS CodeBuild and AWS CodePipeline. The company must connect to an external authenticated API during the building process.
The company's DevOps engineer needs to encrypt the build outputs by using an AWS Key Management Service (AWS KMS) key. The external API credentials must be reset each month. The DevOps engineer has created a new key in AWS KMS.
Which solution will meet these requirements?

A. Store the API credentials in AWS Systems Manager Parameter Store. Update the key policy for the CodeBuild IAM service role to have access to the KMS key. Set CODEBUILD_KMS_KEY_ID as the new key ID.
B. Store the API credentials in AWS Systems Manager Parameter Store. Update the key policy for the CodePipeline IAM service role to have access to the KMS key. Add the key to the pipeline.
C. Store the API credentials in AWS Secrets Manager. Update the key policy for the CodeBuild IAM service role to have access to the KMS key. Set CODEBUILD_KMS_KEY_ID as the new key ID.
D. Store the API credentials in AWS Secrets Manager. Update the key policy for the CodePipeline IAM service role to have access to the KMS key. Add the key to the pipeline.

Answer: C

NEW QUESTION # 135
A DevOps engineer needs to configure a blue green deployment for an existing three-tier application. The application runs on Amazon EC2 instances and uses an Amazon RDS database The EC2 instances run behind an Application Load Balancer (ALB) and are in an Auto Scaling group.
The DevOps engineer has created a launch template and an Auto Scaling group for the blue environment. The DevOps engineer also has created a launch template and an Auto Scaling group for the green environment.
Each Auto Scaling group deploys to a matching blue or green target group. The target group also specifies which software blue or green gets loaded on the EC2 instances. The ALB can be configured to send traffic to the blue environments target group or the green environments target group. An Amazon Route 53 record for www example com points to the ALB.
The deployment must move traffic all at once between the software on the blue environment's EC2 instances to the newly deployed software on the green environments EC2 instances What should the DevOps engineer do to meet these requirements?

A. Use an AWS CLI command to update the ALB to send traffic to the green environment's target group.
Then start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment's EC2 instances.
B. Start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment's EC2 instances When the rolling restart is complete, update the Route 53 DNS to point to the green environments endpoint on the ALB.
C. Start a rolling restart to the Auto Scaling group tor the green environment to deploy the new software on the green environment's EC2 instances When the rolling restart is complete, use an AWS CLI command to update the ALB to send traffic to the green environment's target group.
D. Update the launch template to deploy the green environment's software on the blue environment's EC2 instances Keep the target groups and Auto Scaling groups unchanged in both environments Perform a rolling restart of the blue environment's EC2 instances.

Answer: C

Explanation:
This solution will meet the requirements because it will use a rolling restart to gradually replace the EC2 instances in the green environment with new instances that have the new software version installed. A rolling restart is a process that terminates and launches instances in batches, ensuring that there is always a minimum number of healthy instances in service. This way, the green environment can be updated without affecting the availability or performance of the application. When the rolling restart is complete, the DevOps engineer can use an AWS CLI command to modify the listenerrules of the ALB and change the default action to forward traffic to the green environment's target group. This will switch the traffic from the blue environment to the green environment all at once, as required by the question.

NEW QUESTION # 136
A company uses machine learning on transactional data that a development team uploads from multiple sources to an Amazon S3 bucket. The development team finds duplicate objects in the S3 bucket across multiple prefixes. The duplications are increasing the company ' s storage costs.
The company wants to implement an automated solution to identify and remove duplicate objects from the S3 bucket.
Which solution will meet this requirement?

A. Use Amazon S3 Inventory to generate reports. Use Amazon Athena to query the reports based on ETag values. Use S3 Batch Operations and an AWS Lambda function to remove duplicate objects.
B. Configure AWS CloudTrail to record data events for the S3 bucket. Use Amazon Athena to query S3 data events to identify duplicate objects. Use an AWS Lambda function to delete duplicate objects.
C. Use Amazon S3 Storage Lens to scan the S3 bucket and prefixes, create an inventory of the duplicate objects, and invoke an AWS Lambda function to delete the duplicate objects.
D. Use AWS Config to identify object changes. Use Amazon EventBridge to delete duplicate objects by running the aws:executeScript action in AWS Systems Manager.

Answer: A

Explanation:
Amazon S3 Inventory generates scheduled reports listing all objects in a bucket with metadata including the ETag, which is an MD5 hash of the object content. Objects with the same ETag value have identical content regardless of their key or prefix location and can therefore be identified as duplicates. Amazon Athena can query the inventory report stored in S3 using SQL to group objects by ETag and identify keys where more than one object shares the same hash. Once duplicate keys are identified, S3 Batch Operations can invoke an AWS Lambda function to programmatically delete the duplicate entries, completing the automated cleanup workflow. S3 Storage Lens (Option A) provides visibility into storage usage metrics but does not identify content-level duplicates. CloudTrail (Option B) tracks API activity but cannot compare object content. AWS Config (Option D) is designed for resource configuration compliance, not S3 object deduplication.

NEW QUESTION # 137
A DevOps engineer manages a company's Amazon Elastic Container Service (Amazon ECS) cluster. The cluster runs on several Amazon EC2 instances that are in an Auto Scaling group. The DevOps engineer must implement a solution that logs and reviews all stopped tasks for errors.
Which solution will meet these requirements?

A. Configure an EC2 Auto Scaling lifecycle hook for the EC2_INSTANCE_TERMINATING scale-in event. Write the SystemEventLog file to Amazon S3. Use Amazon Athena to query the log file for errors.
B. Create an Amazon EventBridge rule to capture task state changes. Send the event to Amazon CloudWatch Logs. Use CloudWatch Logs Insights to investigate stopped tasks.
C. Configure tasks to write log data in the embedded metric format. Store the logs in Amazon CloudWatch Logs. Monitor the ContainerInstanceCount metric for changes.
D. Configure the EC2 instances to store logs in Amazon CloudWatch Logs. Create a CloudWatch Contributor Insights rule that uses the EC2 instance log data. Use the Contributor Insights rule to investigate stopped tasks.

Answer: B

Explanation:
The best solution to log and review all stopped tasks for errors is to use Amazon EventBridge and Amazon CloudWatch Logs. Amazon EventBridge allows the DevOps engineer to create a rule that matches task state change events from Amazon ECS. The rule can then send the event data to Amazon CloudWatch Logs as the target. Amazon CloudWatch Logs can store and monitor the log data, and also provide CloudWatch Logs Insights, a feature that enables the DevOps engineer to interactively search and analyze the log data. Using CloudWatch Logs Insights, the DevOps engineer can filter and aggregate the log data based on various fields, such as cluster, task, container, and reason. This way, the DevOps engineer can easily identify and investigate the stopped tasks and their errors.
The other options are not as effective or efficient as the solution in option A. Option B is not suitable because the embedded metric format is designed for custom metrics, not for logging task state changes. Option C is not feasible because the EC2 instances do not store the task state change events in their logs. Option D is not relevant because theEC2_INSTANCE_TERMINATING lifecycle hook is triggered when an EC2 instance is terminated by the Auto Scaling group, not when a task is stopped by Amazon ECS.
References:
* : Creating a CloudWatch Events Rule That Triggers on an Event - Amazon Elastic Container Service
* : Sending and Receiving Events Between AWS Accounts - Amazon EventBridge
* : Working with Log Data - Amazon CloudWatch Logs
* : Analyzing Log Data with CloudWatch Logs Insights - Amazon CloudWatch Logs
* : Embedded Metric Format - Amazon CloudWatch
* : Amazon EC2 Auto Scaling Lifecycle Hooks - Amazon EC2 Auto Scaling

NEW QUESTION # 138
A development team uses AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild to develop and deploy an application. Changes to the code are submitted by pull requests. The development team reviews and merges the pull requests, and then the pipeline builds and tests the application.
Over time, the number of pull requests has increased. The pipeline is frequently blocked because of failing tests. To prevent this blockage, the development team wants to run the unit and integration tests on each pull request before it is merged.
Which solution will meet these requirements?

A. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit Create a CodeBuild project to run the unit and integration tests. Configure the CodeBuild project as a target of the EventBridge rule that includes a custom event payload with the CodeCommit repository and branch information from the event.
B. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit notification rule that matches when a pull request is created or updated. Configure the notification rule to invoke the CodeBuild project.
C. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit approval rule template. Configure the template to require the successful invocation of the CodeBuild project. Attach the approval rule to the project's CodeCommit repository.
D. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit. Modify the existing CodePipeline pipeline to not run the deploy steps if the build is started from a pull request. Configure the EventBridge rule to run the pipeline with a custom payload that contains the CodeCommit repository and branch information from the event.

Answer: A

Explanation:
CodeCommit generates events in CloudWatch, CloudWatch triggers the CodeBuild https://aws.amazon.com/es/blogs/devops/complete-ci-cd-with-aws-codecommit-aws-codebuild-aws-codedeploy-and-aws-codepipeline/

NEW QUESTION # 139
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