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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Incident and Event Response14%- Improve operational processes
  • 1. Optimize response time and efficiency
  • 2. Implement feedback loops
  • 3. Update runbooks and playbooks
- Manage incidents and outages
  • 1. Coordinate response and recovery
  • 2. Document and learn from events
  • 3. Troubleshoot complex issues
- Automate event management
  • 1. Classify and prioritize events
  • 2. Automate common operational tasks
  • 3. Integrate with ticketing and workflow systems
Topic 2: Configuration Management and Infrastructure as Code17%- Automate configuration management
  • 1. Maintain consistent configurations
  • 2. Detect and remediate configuration drift
  • 3. Use AWS Systems Manager, Ansible, or Puppet
- Manage infrastructure deployments
  • 1. Manage multi-account and multi-region environments
  • 2. Provision and update resources automatically
  • 3. Implement version control for configurations
- Implement infrastructure as code
  • 1. Enforce configuration standards
  • 2. Use AWS CloudFormation, Terraform, or AWS CDK
  • 3. Manage templates and stacks
Topic 3: SDLC Automation22%- Automate software release processes
  • 1. Automate rollback procedures
  • 2. Implement deployment strategies
  • 3. Manage artifacts and dependencies
- Automate testing and validation
  • 1. Automate quality gates
  • 2. Security and compliance testing
  • 3. Unit, integration, and performance testing
- Implement CI/CD pipelines
  • 1. Integrate version control systems
  • 2. Automate build, test, and deployment stages
  • 3. Use AWS CodePipeline, CodeBuild, CodeDeploy
Topic 4: Resilient Cloud Solutions15%- Implement disaster recovery
  • 1. Backup and restore strategies
  • 2. Pilot light, warm standby, and active-active
  • 3. Test and validate recovery plans
- Design high availability architectures
  • 1. Implement auto scaling and load balancing
  • 2. Multi-AZ and multi-region deployments
  • 3. Use Route 53 for routing and failover
- Ensure reliability and scalability
  • 1. Optimize performance and cost
  • 2. Design for fault tolerance
  • 3. Manage capacity and elasticity
Topic 5: Security, Governance, and Compliance17%- Automate security and compliance
  • 1. Integrate security into CI/CD pipelines
  • 2. Detect and remediate violations automatically
  • 3. Use AWS Security Hub and AWS Shield
- Implement security controls
  • 1. Secure secrets and credentials
  • 2. Encrypt data at rest and in transit
  • 3. Manage IAM for pipelines and environments
- Enforce governance and compliance
  • 1. Use AWS Config and AWS Organizations
  • 2. Manage access and permissions at scale
  • 3. Implement compliance rules and audits
Topic 6: Monitoring and Logging15%- Implement logging and analysis
  • 1. Use AWS X-Ray for tracing
  • 2. Centralize logs with CloudWatch Logs
  • 3. Analyze logs for troubleshooting and security
- Implement monitoring solutions
  • 1. Monitor infrastructure, applications, and costs
  • 2. Create dashboards and insights
  • 3. Use Amazon CloudWatch for metrics and alarms
- Automate incident response
  • 1. Set up event-driven actions with Amazon EventBridge
  • 2. Automate remediation and scaling
  • 3. Implement alerting and notification workflows

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q244-Q249):

NEW QUESTION # 244
A security team wants to use AWS CloudTrail to monitor all actions and API calls in multiple accounts that are in the same organization in AWS Organizations. The security team needs to ensure that account users cannot turn off CloudTrail in the accounts.
Which solution will meet this requirement?

Answer: B

Explanation:
To ensure that CloudTrail cannot be disabled in any member account, the control must be enforced above the individual accounts, at the organization level, and must not be overridable by local administrators. AWS Service Control Policies (SCPs) provide exactly this capability: they define permission guardrails that apply to all IAM users, roles, and even the root user in accounts within an AWS Organizations OU.
By applying an SCP that explicitly denies cloudtrail:StopLogging and cloudtrail:DeleteTrail, the organization prevents any principal in the affected accounts from disabling logging or deleting the trails, regardless of their IAM permissions. This provides strong, centralized enforcement of audit logging.
Option B uses IAM policies in each account. Local administrators with sufficient privileges could modify or detach those policies, defeating the control. Option C only sends notifications and does not prevent the action.
Option D with AWS Config auto-remediation still allows a window where CloudTrail is disabled and also can be disabled or modified itself.
Therefore, the most robust and least bypassable approach is to use an SCP at the OU level to deny CloudTrail stop and delete actions.


NEW QUESTION # 245
A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?

Answer: A

Explanation:
Step 1: Reacting to RDS Storage Autoscaling Events Using Amazon EventBridgeAmazon RDS emits events when storage autoscaling occurs. To visualize these events in a CloudWatch dashboard, you can create an EventBridge rule that listens for these specific autoscaling events.
Action: Create an EventBridge rule that reacts to RDS storage autoscaling events from the RDS event stream.
Why: EventBridge allows you to listen to RDS events and route them to specific AWS services for processing.
Step 2: Creating a Custom CloudWatch Metric via LambdaOnce the EventBridge rule detects a storage autoscaling event, you can use a Lambda function to publish a custom metric to CloudWatch. This metric can then be visualized in a CloudWatch dashboard.
Action: Use a Lambda function to publish custom metrics to CloudWatch based on the RDS storage autoscaling events.
Why: Custom metrics allow you to track specific events like autoscaling and visualize them easily on a CloudWatch dashboard.
Reference:
This corresponds to Option A: Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.


NEW QUESTION # 246
A global company manages multiple AWS accounts by using AWS Control Tower. The company hosts internal applications and public applications.
Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations. One of the AWS Control Tower member accounts serves as a centralized DevOps account with CI/CD pipelines that application teams use to deploy applications to their respective target AWS accounts. An 1AM role for deployment exists in the centralized DevOps account.
An application team is attempting to deploy its application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster in an application AWS account. An 1AM role for deployment exists in the application AWS account. The deployment is through an AWS CodeBuild project that is set up in the centralized DevOps account. The CodeBuild project uses an 1AM service role for CodeBuild. The deployment is failing with an Unauthorized error during attempts to connect to the cross-account EKS cluster from CodeBuild.
Which solution will resolve this error?

Answer: A

Explanation:
Explanation
In the source AWS account, the IAM role used by the CI/CD pipeline should have permissions to access the source code repository, build artifacts, and any other resources required for the build process. In the destination AWS accounts, the IAM role used for deployment should have permissions to access the AWS resources required for deploying the application, such as EC2 instances, RDS databases, S3 buckets, etc. The exact permissions required will depend on the specific resources being used by the application. the IAM role used for deployment in the destination accounts should also have permissions to assume the IAM role for deployment in the centralized DevOps account. This is typically done using an IAM role trust policy that allows the destination account to assume the DevOps account role.


NEW QUESTION # 247
A company has developed a serverless web application that is hosted on AWS. The application consists of Amazon S3. Amazon API Gateway, several AWS Lambda functions, and an Amazon RDS for MySQL database. The company is using AWS CodeCommit to store the source code. The source code is a combination of AWS Serverless Application Model (AWS SAM) templates and Python code.
A security audit and penetration test reveal that user names and passwords for authentication to the database are hardcoded within CodeCommit repositories. A DevOps engineer must implement a solution to automatically detect and prevent hardcoded secrets.
What is the MOST secure solution that meets these requirements?

Answer: D


NEW QUESTION # 248
A company uses AWS Control Tower to deploy multiple AWS accounts. A security team must automate Control Tower guardrails applied to all accounts in an OU, with version control and rollback capabilities.
Which solution meets these requirements?

Answer: C

Explanation:
Using CodePipeline + CodeConnections Git repo provides version control, automated deployment, and rollback. Each template includes AWS::ControlTower::EnableControl for OU-level guardrails. AWS Control Tower documentation recommends this GitOps automation model.


NEW QUESTION # 249
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