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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q236-Q241):

NEW QUESTION # 236
A DevOps engineer manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple Availability Zones. The engineer needs to implement a deployment strategy that:
Launches a second fleet of instances with the same capacity as the original fleet.
Maintains the original fleet unchanged while the second fleet is launched.
Transitions traffic to the second fleet when the second fleet is fully deployed.
Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?

Answer: B

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/APIReference/API_BlueInstanceTerminationOption.html The original revision termination settings are configured to wait 1 hour after traffic has been rerouted before terminating the blue task set. https://docs.aws.amazon.com/AmazonECS/latest/developerguide/deployment-type-bluegreen.html


NEW QUESTION # 237
A DevOps engineer used an AWS Cloud Formation custom resource to set up AD Connector. The AWS Lambda function ran and created AD Connector, but Cloud Formation is not transitioning from CREATE_IN_PROGRESS to CREATE_COMPLETE.
Which action should the engineer take to resolve this issue?

Answer: D

Explanation:
Reference: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/crpg-ref-responses.html


NEW QUESTION # 238
A company uses Amazon Redshift as its data warehouse solution. The company wants to create a dashboard to view changes to the Redshift users and the queries the users perform.
Which combination of steps will meet this requirement? (Select TWO.)

Answer: A,C

Explanation:
Amazon Redshift supports audit logging which can be configured to log user activity, including queries and user changes. The logs can be delivered to an S3 bucket (Option B), which is the standard location for Redshift audit logs.
While Redshift can send some logs to CloudWatch, the native audit logging is typically routed to S3. Creating a CloudWatch dashboard with a log widget (Option D) allows visualization of user activities from logs ingested into CloudWatch Logs or through custom processing.
Option A is invalid because CloudTrail does not capture Redshift query logs directly. Option C incorrectly assumes Redshift audit logs can be delivered directly to CloudWatch. Option E adds complexity by requiring Lambda and Athena unnecessarily when direct visualization in CloudWatch is simpler.
References:
Amazon Redshift Audit Logging
Visualizing Logs with Amazon CloudWatch Dashboards


NEW QUESTION # 239
A software engineering team is using AWS CodeDeploy to deploy a new version of an application. The team wants to ensure that if any issues arise during the deployment, the process can automatically roll back to the previous version.
During the deployment process, a health check confirms the application's stability. If the health check fails, the deployment must revert automatically.
Which solution will meet these requirements?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
AWS CodeDeploy supportsautomatic rollbackcapabilities, which allow the deployment to automatically revert to the last known good revision if a failure occurs during the deployment or if health checks fail.
* You can enable automatic rollback on CodeDeploy deployments by configuring rollback settings in the deployment group.
* Automatic rollback triggers can include failed deployments and alarms failing during the deployment lifecycle, which means if the health check fails, CodeDeploy will automatically roll back without manual intervention.
* Lifecycle event hooks (Option A) provide custom scripting capabilities during deployment but do not provide built-in rollback automation.
* CloudFormation (Option B) can deploy and manage infrastructure but does not control CodeDeploy rollback.
* CloudWatch alarms (Option C) can trigger notifications but require manual or additional automation to trigger rollback.Hence, enablingCodeDeploy's automatic rollback settingsis the simplest and most reliable method for automatic rollback upon health check failure.
Reference from AWS Official Documentation and Study Guide:
* AWS CodeDeploy Automatic Rollback:"You can configure automatic rollback in AWS CodeDeploy to roll back a deployment if it fails or if specified CloudWatch alarms are triggered."(AWS CodeDeploy User Guide - Automatic Rollbacks)
* AWS Certified DevOps Engineer Professional Study Guide:"Leverage CodeDeploy automatic rollback features to reduce downtime and ensure application stability during deployments."


NEW QUESTION # 240
A company is reviewing its 1AM policies. One policy written by the DevOps engineer has been (lagged as too permissive. The policy is used by an AWS Lambda function that issues a stop command to Amazon EC2 instances tagged with Environment: NonProduccion over the weekend. The current policy is:
What changes should the engineer make to achieve a policy ot least permission? (Select THREE.)

Answer: A,D,E

Explanation:
The engineer should make the following changes to achieve a policy of least permission:
A: Add a condition to ensure that the principal making the request is an AWS Lambda function. This ensures that only Lambda functions can execute this policy.
B: Narrow down the resources by specifying the ARN of EC2 instances instead of allowing all resources. This ensures that the policy only affects EC2 instances.
D: Add a condition to ensure that this policy only applies to EC2 instances tagged with "Environment: NonProduction". This ensures that production environments are not affected by this policy.
:
AWS Identity and Access Management (IAM) - AWS Documentation
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 179)


NEW QUESTION # 241
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