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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Configuration Management and Infrastructure as Code22%- Design and implement infrastructure as code
  • 1. Develop IaC templates (AWS CloudFormation, Terraform)
  • 2. Design for scalability and repeatability
  • 3. Implement modular and reusable infrastructure components
- Design and implement data management strategies
  • 1. Design backup and recovery solutions
  • 2. Implement data lifecycle management
  • 3. Implement database migration strategies
- Design and implement configuration management
  • 1. Implement parameter management (AWS Parameter Store, Secrets Manager)
  • 2. Implement AWS Systems Manager for configuration management
  • 3. Design patch management strategies
- Implement compliance and configuration monitoring
  • 1. Design remediation automation
  • 2. Implement AWS CloudTrail for auditing
  • 3. Use AWS Config for compliance monitoring
Topic 2: SDLC Automation22%- Design build and test environments
  • 1. Integrate security scanning and compliance checks
  • 2. Design test automation frameworks
  • 3. Implement build environments (isolated, reproducible)
- Design and implement CI/CD pipelines
  • 1. Implement deployment strategies (blue-green, canary, rolling)
  • 2. Determine appropriate CI/CD pipeline architecture
  • 3. Develop CI/CD pipelines considering testing and security requirements
  • 4. Design failure handling strategies
- Design and implement source code management strategies
  • 1. Determine branching strategies
  • 2. Design code review and approval processes
  • 3. Implement repository configurations and hooks
Topic 3: Policies and Standards Automation10%- Design and implement governance strategies
  • 1. Implement tagging policies and resource grouping
  • 2. Implement approval workflows and automation
  • 3. Design cost optimization through policies
- Design and implement preventive and detective controls
  • 1. Implement drift detection and remediation
  • 2. Implement AWS Organizations and SCPs
  • 3. Design and implement security baselines
Topic 4: Monitoring and Logging12%- 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. Implement distributed tracing (AWS X-Ray)
  • 2. Implement log aggregation and analysis
  • 3. Design custom metrics and alarms (Amazon CloudWatch)
Topic 5: Incident and Event Response18%- Design and implement chaos engineering practices
  • 1. Design resilience testing strategies
  • 2. Implement fault injection experiments (AWS Fault Injection Simulator)
  • 3. Analyze system behavior under failure conditions
- Design and implement event and incident management
  • 1. Design event aggregation and correlation
  • 2. Implement automated incident detection
  • 3. Implement automated response playbooks
Topic 6: High Availability and Disaster Recovery16%- 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
- Design and implement disaster recovery strategies
  • 1. Implement pilot light and warm standby architectures
  • 2. Design RTO and RPO based DR solutions
  • 3. Implement multi-region active-active architectures
  • 4. Implement backup and restore mechanisms
- Implement data backup and restore strategies
  • 1. Design point-in-time recovery solutions
  • 2. Implement cross-region replication
  • 3. Implement validation testing for backups

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q382-Q387):

NEW QUESTION # 382
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: D

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 # 383
A company sells products through an ecommerce web application The company wants a dashboard that shows a pie chart of product transaction details. The company wants to integrate the dashboard With the company's existing Amazon CloudWatch dashboards Which solution Will meet these requirements With the MOST operational efficiency?

Answer: B

Explanation:
The correct answer is A.
A comprehensive and detailed explanation is:
Option A is correct because it meets the requirements with the most operational efficiency. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard. Using CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format is also a convenient and integrated solution that leverages the existing CloudWatch dashboards. Attaching the results to the desired CloudWatch dashboard is straightforward and does not require any additional steps or services.
Option B is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction is a valid way to store the data, but it requires creating and managing an S3 bucket and its permissions. Using Amazon Athena to query the S3 bucket and to visualize the results in a pie chart format is also a valid way to analyze the data, but it incurs charges based on the amount of data scanned by each query. Exporting the results from Athena and attaching them to the desired CloudWatch dashboard is also an extra step that adds more overhead and latency.
Option C is incorrect because it uses AWS X-Ray for an inappropriate purpose. Updating the ecommerce application to use AWS X-Ray for instrumentation is a good practice for monitoring and tracing distributed applications, but it is not designed for aggregating product transaction details. Creating a new X-Ray subsegment and adding an annotation for each processed transaction is possible, but it would clutter the X-Ray service map and make it harder to debug performance issues. Using X-Ray traces to query the data and to visualize the results in a pie chart format is also possible, but it would require custom code and logic that are not supported by X-Ray natively. Attaching the results to the desired CloudWatch dashboard is also not supported by X-Ray directly, and would require additional steps or services.
Option D is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard, as in option A) However, creating an AWS Lambda function to aggregate and write the results to Amazon DynamoDB is redundant, as CloudWatch Logs Insights can already perform aggregation queries on log data. Creating a Lambda subscription filter for the log file is also redundant, as CloudWatch Logs Insights can already access log data directly. Attaching the results to the desired CloudWatch dashboard would also require additional steps or services, as DynamoDB does not support native integration with CloudWatch dashboards.
References:
CloudWatch Logs Insights
Amazon Athena
AWS X-Ray
AWS Lambda
Amazon DynamoDB


NEW QUESTION # 384
A DevOps team manages an API running on-premises that serves as a backend for an Amazon API Gateway endpoint. Customers have been complaining about high response latencies, which the development team has verified using the API Gateway latency metrics in Amazon CloudWatch. To identify the cause, the team needs to collect relevant data without introducing additional latency.
Which actions should be taken to accomplish this? (Choose two.)

Answer: A,C

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/install-CloudWatch-Agent-on-premise.htm
https://docs.aws.amazon.com/xray/latest/devguide/xray-api-sendingdata.html


NEW QUESTION # 385
A company needs to implement failover for its application. The application includes an Amazon CloudFront distribution and a public Application Load Balancer (ALB) in an AWS Region. The company has configured the ALB as the default origin for the distribution.
After some recent application outages, the company wants a zero-second RTO. The company deploys the application to a secondary Region in a warm standby configuration. A DevOps engineer needs to automate the failover of the application to the secondary Region so that HTTP GET requests meet the desired RTO.
Which solution will meet these requirements?

Answer: C

Explanation:
The best solution to implement failover for the application is to use CloudFront origin groups. Origin groups allow CloudFront to automatically switch to a secondary origin when the primary origin is unavailable or returns specific HTTP status codes that indicate a failure1. This way, CloudFront can serve the requests from the secondary ALB in the secondary Region without any delay or redirection. To set up origin groups, the DevOps engineer needs to create a new origin on the distribution for the secondary ALB, create a new origin group with the original ALB as the primary origin and the secondary ALB as the secondary origin, and configure the origin group to fail over for HTTP 5xx status codes. Then, the DevOps engineer needs to update the default behavior to use the origin group instead of the single origin2.
The other options are not as effective or efficient as the solution in option B. Option A is not suitable because creating a second CloudFront distribution will increase the complexity and cost of the application. Moreover, using Route 53 alias records with a failover policy will introduce some delay in detecting and switching to the secondary CloudFront distribution, which may not meet the zero-second RTO requirement. Option C is not feasible because CloudFront does not support using Route 53 alias records as origins3. Option D is not advisable because using a CloudFront function to redirect the requests to the secondary ALB will add an extra round-trip and latency to the failover process, which may also not meet the zero-second RTO requirement.
:
1: Optimizing high availability with CloudFront origin failover - Amazon CloudFront
2: Creating an origin group - Amazon CloudFront
3: Values That You Specify When You Create or Update a Web Distribution - Amazon CloudFront


NEW QUESTION # 386
A company is examining its disaster recovery capability and wants the ability to switch over its daily operations to a secondary AWS Region. The company uses AWS CodeCommit as a source control tool in the primary Region.
A DevOps engineer must provide the capability for the company to develop code in the secondary Region. If the company needs to use the secondary Region, developers can add an additional remote URL to their local Git configuration.
Which solution will meet these requirements?

Answer: A

Explanation:
The best solution to meet the disaster recovery capability and allow developers to switch over to a secondary AWS Region for code development is option A. This involves creating a CodeCommit repository in the secondary Region and setting up an AWS CodeBuild project to perform a Git mirror operation of the primary Region's CodeCommit repository to the secondary Region's repository. An AWS Lambda function is then created to invoke the CodeBuild project. Additionally, an Amazon EventBridge rule is configured to react to merge events in the primary Region's CodeCommit repository and invoke the Lambda function12. This setup ensures that the secondary Region's repository is always up-to-date with the primary repository, allowing for a seamless transition in case of a disaster recovery event1.
:
AWS CodeCommit User Guide on resilience and disaster recovery1.
AWS Documentation on monitoring CodeCommit events in Amazon EventBridge and Amazon CloudWatch Events2.


NEW QUESTION # 387
......

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