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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Monitoring and Logging	12%	- Design and implement alerting and incident management 1. Design runbook automation 2. Create alarm notification strategies 3. Implement automated incident response - Design and implement monitoring and observability strategies 1. Design custom metrics and alarms (Amazon CloudWatch) 2. Implement log aggregation and analysis 3. Implement distributed tracing (AWS X-Ray)
Topic 2: Incident and Event Response	18%	- Design and implement event and incident management 1. Implement automated response playbooks 2. Design event aggregation and correlation 3. Implement automated incident detection - Design and implement chaos engineering practices 1. Design resilience testing strategies 2. Analyze system behavior under failure conditions 3. Implement fault injection experiments (AWS Fault Injection Simulator)
Topic 3: SDLC Automation	22%	- Design and implement CI/CD pipelines 1. Determine appropriate CI/CD pipeline architecture 2. Design failure handling strategies 3. Develop CI/CD pipelines considering testing and security requirements 4. Implement deployment strategies (blue-green, canary, rolling) - Design and implement source code management strategies 1. Implement repository configurations and hooks 2. Design code review and approval processes 3. Determine branching strategies - Design build and test environments 1. Design test automation frameworks 2. Integrate security scanning and compliance checks 3. Implement build environments (isolated, reproducible)
Topic 4: Policies and Standards Automation	10%	- Design and implement preventive and detective controls 1. Design and implement security baselines 2. Implement drift detection and remediation 3. Implement AWS Organizations and SCPs - Design and implement governance strategies 1. Implement approval workflows and automation 2. Design cost optimization through policies 3. Implement tagging policies and resource grouping
Topic 5: High Availability and Disaster Recovery	16%	- Design and implement high availability and scalability 1. Design multi-AZ and multi-region architectures 2. Implement auto scaling strategies 3. Implement load balancing and traffic management - Implement data backup and restore strategies 1. Design point-in-time recovery solutions 2. Implement validation testing for backups 3. Implement cross-region replication - Design and implement disaster recovery strategies 1. Implement pilot light and warm standby architectures 2. Implement multi-region active-active architectures 3. Design RTO and RPO based DR solutions 4. Implement backup and restore mechanisms
Topic 6: Configuration Management and Infrastructure as Code	22%	- Implement compliance and configuration monitoring 1. Design remediation automation 2. Implement AWS CloudTrail for auditing 3. Use AWS Config for compliance monitoring - Design and implement configuration management 1. Implement AWS Systems Manager for configuration management 2. Implement parameter management (AWS Parameter Store, Secrets Manager) 3. Design patch management strategies - Design and implement infrastructure as code 1. Implement modular and reusable infrastructure components 2. Develop IaC templates (AWS CloudFormation, Terraform) 3. Design for scalability and repeatability - Design and implement data management strategies 1. Implement database migration strategies 2. Design backup and recovery solutions 3. Implement data lifecycle management

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q118-Q123):

NEW QUESTION # 118
A SaaS company uses ECS (Fargate) behind an ALB and CodePipeline + CodeDeploy for blue/green deployments. They need automatic, incremental traffic shifting over time with no downtime.
Which solution will meet these requirements?

A. Configure weighted routing on ALB manually.
B. Use TimeBasedCanary.
C. Use AllAtOnce deployment configuration.
D. Use TimeBasedLinear in appspec.yaml with defined percentage and interval.

Answer: D

NEW QUESTION # 119
A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by developers after successful testing The company now needs the tests and deployments be automated and run in the cloud Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment.
What solution meets all the requirements, ensuring the MOST developer velocity?

A. Create an AWS CodeBuild configuration that triggers when the test code is pushed Use AWS CloudFormation to trigger an AWS CodePipelme configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval
B. Create an AWS CodePipelme configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinearlDPercentEvery3Minut.es Option.
C. Create an AWS CodePipelme configuration and set up a post-commit hook to trigger the pipeline after tests have passed Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval
D. Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version.Use an interval in the Lambda function to deploy the code over time at the required percentage

Answer: B

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

NEW QUESTION # 120
A company has an organization in AWS Organizations. A DevOps engineer needs to maintain multiple AWS accounts that belong to different OUs in the organization. All resources, including 1AM policies and Amazon S3 policies within an account, are deployed through AWS CloudFormation. All templates and code are maintained in an AWS CodeCommit repository Recently, some developers have not been able to access an S3 bucket from some accounts in the organization.
The following policy is attached to the S3 bucket.

What should the DevOps engineer do to resolve this access issue?

A. Verify that no 1AM permissions boundaries are denying developers access to the S3 bucket Make the necessary changes to IAM permissions boundaries. Use an AWS Config recorder in the individual developer accounts that are experiencing the issue to revert any changes that are blocking access. Commit the fix back into the CodeCommit repository. Invoke deployment through Cloud Formation to apply the changes.
B. Ensure that no SCP is blocking access for developers to the S3 bucket Ensure that no 1AM policy permissions boundaries are denying access to developer 1AM users Make the necessary changes to the SCP and 1AM policy permissions boundaries in the CodeCommit repository Invoke deployment through CloudFormation to apply the changes
C. Modify the S3 bucket policy Turn off the S3 Block Public Access setting on the S3 bucket In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue.
D. Configure an SCP that stops anyone from modifying 1AM resources in developer OUs. In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue Commit the fix back into the CodeCommit repository Invoke deployment through CloudFormation to apply the changes

Answer: B

Explanation:
Verify No SCP Blocking Access:
Ensure that no Service Control Policy (SCP) is blocking access for developers to the S3 bucket. SCPs are applied at the organization or organizational unit (OU) level in AWS Organizations and can restrict what actions users and roles in the affected accounts can perform.
Verify No IAM Policy Permissions Boundaries Blocking Access:
IAM permissions boundaries can limit the maximum permissions that a user or role can have. Verify that these boundaries are not restricting access to the S3 bucket.
Make Necessary Changes to SCP and IAM Policy Permissions Boundaries:
Adjust the SCPs and IAM permissions boundaries if they are found to be the cause of the access issue. Make sure these changes are reflected in the code maintained in the AWS CodeCommit repository.
Invoke Deployment Through CloudFormation:
Commit the updated policies to the CodeCommit repository.
Use AWS CloudFormation to deploy the changes across the relevant accounts and resources to ensure that the updated permissions are applied consistently.
By ensuring no SCPs or IAM policy permissions boundaries are blocking access and making necessary changes if they are, the DevOps engineer can resolve the access issue for developers trying to access the S3 bucket.
Reference:
AWS SCPs
IAM Permissions Boundaries
Deploying CloudFormation Templates

NEW QUESTION # 121
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 CodeDeploy agent was not installed in two affected instances.
B. A failed Afterinstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances
C. The two affected instances failed to fetch the new deployment.
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: D

NEW QUESTION # 122
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 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.
B. 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.
C. 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.
D. 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.

Answer: D

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 # 123
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