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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q197-Q202):

NEW QUESTION # 197
An IT team has built an AWS CloudFormation template so others in the company can quickly and reliably deploy and terminate an application. The template creates an Amazon EC2 instance with a user data script to install the application and an Amazon S3 bucket that the application uses to serve static webpages while it is running.
All resources should be removed when the CloudFormation stack is deleted. However, the team observes that CloudFormation reports an error during stack deletion, and the S3 bucket created by the stack is not deleted.
How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?

Answer: D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/cloudformation-s3-custom-resources/


NEW QUESTION # 198
A company uses AWS CodePipeline and AWS CodeDeploy to deploy application code to Amazon EC2 instances. The EC2 instances send application logs and CodeDeploy logs to Amazon CloudWatch.
Recently, the company manually rolled back a deployment because of application errors. The company wants to automate the rollback process when application errors occur.
Which solution will meet these requirements?

Answer: A

Explanation:
AWS CodeDeploy natively supports automatic rollback based on CloudWatch alarms. To use this capability, you define an alarm that indicates unhealthy behavior (for example, increasing application error rate) and attach that alarm to the deployment group in CodeDeploy. If the alarm goes into ALARM state during or after a deployment, CodeDeploy automatically rolls back to the last known good revision when auto rollback is enabled.
Option A correctly implements this pattern:
* Derive a CloudWatch metric from application logs (e.g., count of error-level log entries or HTTP 5xx responses).
* Create a CloudWatch alarm on that metric with appropriate thresholds.
* Configure the deployment group to use the alarm as part of its alarm configuration and enable auto rollback.
Option B uses CodeDeploy agent logs, which may not directly reflect true application health and couples rollback logic tightly to deployment internals rather than application behavior. Options C and D implement custom rollback logic with Lambda and EventBridge, which re-create behavior that CodeDeploy already provides natively and add unnecessary operational and code complexity.
Therefore, Option A is the simplest and most aligned with built-in CodeDeploy features for automated rollback based on application errors.


NEW QUESTION # 199
A company has its AWS accounts in an organization in AWS Organizations. AWS Config is manually configured in each AWS account. The company needs to implement a solution to centrally configure AWS Config for all accounts in the organization The solution also must record resource changes to a central account.
Which combination of actions should a DevOps engineer perform to meet these requirements? (Choose two.)

Answer: C,D

Explanation:
https://aws.amazon.com/blogs/mt/org-aggregator-delegated-admin/https://docs.aws.amazon.com/organizations
/latest/userguide/services-that-can-integrate-config.html


NEW QUESTION # 200
A company detects unusual login attempts in many of its AWS accounts. A DevOps engineer must implement a solution that sends a notification to the company's security team when multiple failed login attempts occur. The DevOps engineer has already created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the security team to the SNS topic.
Which solution will provide the notification with the LEAST operational effort?

Answer: C


NEW QUESTION # 201
A DevOps engineer has developed an AWS Lambda function The Lambda function starts an AWS CloudFormation drift detection operation on all supported resources for a specific CloudFormation stack The Lambda function then exits Its invocation The DevOps engineer has created an Amazon EventBrdge scheduled rule that Invokes the Lambda function every hour. An Amazon Simple Notification Service (Amazon SNS) topic already exists In the AWS account. The DevOps engineer has subscribed to the SNS topic to receive notifications The DevOps engineer needs to receive a notification as soon as possible when drift is detected in this specific stack configuration.
Which solution Will meet these requirements?

Answer: A

Explanation:
Explanation
A comprehensive and detailed explanation is:
Option A is incorrect because EventBridge rules cannot filter events based on the message body or attributes of the target service. Therefore, configuring an SNS subscription filter policy to match the CloudFormation stack will not work. The SNS topic will receive all events from the EventBridge rule, regardless of the stack name or drift status.
Option B is incorrect because it introduces unnecessary complexity and cost. Creating a second Lambda function to query the CloudFormation API for the drift detection results is redundant, since CloudFormation already publishes drift detection events to EventBridge. Moreover, invoking two Lambda functions every hour will incur more charges than invoking one.
Option C is incorrect because GuardDuty does not provide drift detection for CloudFormation stacks.
GuardDuty is a threat detection service that monitors for malicious activity and unauthorized behavior in AWS accounts and workloads. It does not monitor or report on configuration changes or drifts in CloudFormation stacks.
Option D is correct because it leverages AWS Config and its managed rule for drift detection. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. It can detect configuration changes and drifts in CloudFormation stacks using the cloudformation-stack-drift-detection-check managed rule. This rule triggers an AWS Config event when a stack drifts from its expected template configuration. By creating a second EventBridge rule that reacts to this event for the specific stack, the DevOps engineer can configure the SNS topic as a target and receive a notification as soon as possible when drift is detected.
References:
AWS Config
Amazon SNS subscription filter policies
Amazon EventBridge rules


NEW QUESTION # 202
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