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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
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 configuration management
  • 1. Implement AWS Systems Manager for configuration management
  • 2. Implement parameter management (AWS Parameter Store, Secrets Manager)
  • 3. Design patch management strategies
- Implement compliance and configuration monitoring
  • 1. Implement AWS CloudTrail for auditing
  • 2. Design remediation automation
  • 3. Use AWS Config for compliance monitoring
- Design and implement data management strategies
  • 1. Implement database migration strategies
  • 2. Implement data lifecycle management
  • 3. Design backup and recovery solutions
SDLC Automation22%- Design and implement CI/CD pipelines
  • 1. Determine appropriate CI/CD pipeline architecture
  • 2. Design failure handling strategies
  • 3. Develop CI/CD pipelines considering testing and security requirements
  • 4. Implement deployment strategies (blue-green, canary, rolling)
- Design build and test environments
  • 1. Integrate security scanning and compliance checks
  • 2. Implement build environments (isolated, reproducible)
  • 3. Design test automation frameworks
- Design and implement source code management strategies
  • 1. Implement repository configurations and hooks
  • 2. Design code review and approval processes
  • 3. Determine branching strategies
Monitoring and Logging12%- Design and implement alerting and incident management
  • 1. Create alarm notification strategies
  • 2. Implement automated incident response
  • 3. Design runbook automation
- 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)
Policies and Standards Automation10%- Design and implement preventive and detective controls
  • 1. Implement drift detection and remediation
  • 2. Design and implement security baselines
  • 3. Implement AWS Organizations and SCPs
- Design and implement governance strategies
  • 1. Implement tagging policies and resource grouping
  • 2. Design cost optimization through policies
  • 3. Implement approval workflows and automation
High Availability and Disaster Recovery16%- Implement data backup and restore strategies
  • 1. Implement cross-region replication
  • 2. Design point-in-time recovery solutions
  • 3. Implement validation testing for backups
- Design and implement disaster recovery strategies
  • 1. Design RTO and RPO based DR solutions
  • 2. Implement backup and restore mechanisms
  • 3. Implement multi-region active-active architectures
  • 4. Implement pilot light and warm standby architectures
- Design and implement high availability and scalability
  • 1. Implement load balancing and traffic management
  • 2. Implement auto scaling strategies
  • 3. Design multi-AZ and multi-region architectures
Incident and Event Response18%- Design and implement chaos engineering practices
  • 1. Analyze system behavior under failure conditions
  • 2. Design resilience testing strategies
  • 3. Implement fault injection experiments (AWS Fault Injection Simulator)
- Design and implement event and incident management
  • 1. Design event aggregation and correlation
  • 2. Implement automated response playbooks
  • 3. Implement automated incident detection

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q342-Q347):

NEW QUESTION # 342
A company uses an Amazon API Gateway regional REST API to host its application API. The REST API has a custom domain. The REST API's default endpoint is deactivated.
The company's internal teams consume the API. The company wants to use mutual TLS between the API and the internal teams as an additional layer of authentication.
Which combination of steps will meet these requirements? (Select TWO.)

Answer: D,E

Explanation:
Mutual TLS (mTLS) authentication requires two-way authentication between the client and the server. For Amazon API Gateway, you can enable mTLS for a custom domain name, which requires clients to present X.
509 certificates to verify their identity to access your API. To set up mTLS, you would typically use AWS Certificate Manager (ACM) to create a private certificate authority (CA) and provision a client certificate signed by this private CA. The root CA certificate is then uploaded to an Amazon S3 bucket and configured in API Gateway as the trust store12.
References:
* Introducing mutual TLS authentication for Amazon API Gateway1.
* Configuring mutual TLS authentication for a REST API2.
* AWS Private Certificate Authority details3.
* AWS Certificate Manager Private Certificate Authority updates4.


NEW QUESTION # 343
A company manages multiple AWS accounts in AWS Organizations. The company's security policy states that AWS account root user credentials for member accounts must not be used. The company monitors access to the root user credentials.
A recent alert shows that the root user in a member account launched an Amazon EC2 instance. A DevOps engineer must create an SCP at the organization's root level that will prevent the root user in member accounts from making any AWS service API calls.
Which SCP will meet these requirements?

Answer: D


NEW QUESTION # 344
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: C

Explanation:
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 # 345
A company uses AWS Organizations to manage multiple AWS accounts. The accounts are in an OU that has a policy attached to allow all actions. The company is migrating several Git repositories to a specified AWS CodeConnections supported Git provider. The Git repositories manage AWS CloudFormation stacks for application infrastructure that the company deploys across multiple AWS Regions. The company wants a DevOps team to integrate CodeConnections into the CloudFormation stacks. The DevOps team must ensure that company staff members can integrate only with the specified Git provider. The deployment process must be highly available across Regions. Which combination of steps will meet these requirements? (Select THREE.)

Answer: C,D,F


NEW QUESTION # 346
A company is using AWS to run digital workloads. Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations.
The company wants to enforce security standards across the entire organization. To avoid noncompliance because of security misconfiguration, the company has enforced the use of AWS CloudFormation. A production support team can modify resources in the production environment by using the AWS Management Console to troubleshoot and resolve application-related issues.
A DevOps engineer must implement a solution to identify in near real time any AWS service misconfiguration that results in noncompliance. The solution must automatically remediate the issue within 15 minutes of identification. The solution also must track noncompliant resources and events in a centralized dashboard with accurate timestamps.
Which solution will meet these requirements with the LEAST development overhead?

Answer: B

Explanation:
The best solution is to use AWS Config and AWS Security Hub to identify and remediate noncompliant resources across multiple AWS accounts. AWS Config enables continuous monitoring of the configuration of AWS resources and evaluates them against desired configurations. AWS Config can also automatically remediate noncompliant resources by using conformance packs, which are a collection of AWS Config rules and remediation actions that can be deployed as a single entity. AWS Security Hub provides a comprehensive view of the security posture of AWS accounts and resources. AWS Security Hub can aggregate and normalize the findings from AWS Config and other AWS services, as well as from partner solutions. AWS Security Hub can also be used to create a dashboard for tracking noncompliant resources and events in a centralized location.
The other options are not optimal because they either require more development overhead, do not provide near real time detection and remediation, or do not provide a centralized dashboard for tracking.
Option A is not optimal because CloudFormation drift detection is not a near real time solution. Drift detection has to be manually initiated on each stack or resource, or scheduled using a cron expression. Drift detection also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. CloudWatch Logs and dashboard can be used for tracking, but they do not provide a comprehensive view of the security posture of the AWS accounts and resources.
Option B is not optimal because CloudTrail logs analysis using Athena is not a near real time solution. Athena queries have to be manually run or scheduled using a cron expression. Athena also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. Step Functions can be used to orchestrate the query and remediation workflow, but it adds more complexity and cost. QuickSight dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.
Option D is not optimal because CloudTrail logs analysis using CloudWatch Logs is not a near real time solution. CloudWatch Logs filters have to be manually created or updated for each resource type and configuration change. CloudWatch Logs also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. EventBridge can be used to trigger the Lambda function, but it adds more complexity and cost. OpenSearch Service dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.
AWS Config conformance packs
Introducing AWS Config conformance packs
Managing conformance packs across all accounts in your organization


NEW QUESTION # 347
......

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