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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q231-Q236):

NEW QUESTION # 231
A company runs a fleet of Amazon EC2 instances in a VPC. The company's employees remotely access the EC2 instances by using the Remote Desktop Protocol (RDP). The company wants to collect metrics about how many RDP sessions the employees initiate every day. Which combination of steps will meet this requirement? (Select THREE.)

Answer: A,D,E


NEW QUESTION # 232
A company is using an Amazon Aurora cluster as the data store for its application. The Aurora cluster is configured with a single DB instance. The application performs read and write operations on the database by using the cluster's instance endpoint.
The company has scheduled an update to be applied to the cluster during an upcoming maintenance window. The cluster must remain available with the least possible interruption during the maintenance window.
What should a DevOps engineer do to meet these requirements?

Answer: A


NEW QUESTION # 233
A company has an application that stores data that includes personally Identifiable Information (Pll) In an Amazon S3 bucket All data Is encrypted with AWS Key Management Service (AWS KMS) customer managed keys. All AWS resources are deployed from an AWS Cloud Formation template.
A DevOps engineer needs to set up a development environment for the application in a different AWS account The data in the development environment's S3 bucket needs to be updated once a week from the production environment's S3 bucket.
The company must not move Pll from the production environment without anonymizmg the Pll first The data in each environment must be encrypted with different KMS customer managed keys.
Which combination of steps should the DevOps engineer take to meet these requirements? (Select TWO )

Answer: A,E

Explanation:
Activate Amazon Macie on the Production S3 Bucket:
Macie can identify and protect sensitive data such as PII.
Create a Step Functions state machine to automate data discovery and redaction before copying it to the development environment.
Example Step Functions state machine:
{
"Comment": "Anonymize PII and copy data",
"StartAt": "MacieDiscoveryJob",
"States": {
"MacieDiscoveryJob": {
"Type": "Task",
"Resource": "arn:aws:states:::macie:startClassificationJob",
"End": true
}
}
}
Create a Development Environment from CloudFormation Template:
Deploy the development environment in a new account using the existing CloudFormation template.
Schedule an EventBridge rule to start the Step Functions state machine on a weekly basis.
EventBridge rule example:
{
"ScheduleExpression": "rate(7 days)",
"StateMachineArn": "arn:aws:states:<region>:<account-id>:stateMachine:AnonymizeAndCopyData"
}
By using Macie for data anonymization and Step Functions for automation, you ensure PII is properly handled before data transfer between environments.
References:
Amazon Macie
AWS Step Functions
AWS CloudFormation Templates


NEW QUESTION # 234
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: B

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 # 235
A developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing.
Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated.
How can log collection be automated?

Answer: C

Explanation:
https://blog.fourninecloud.com/auto-scaling-lifecycle-hooks-to-export-server-logs-when-instance-terminating-58e06d7c0d6a


NEW QUESTION # 236
......

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