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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configuration Management and Infrastructure as Code	22%	- Design and implement infrastructure as code 1. Implement modular and reusable infrastructure components 2. Develop IaC templates (AWS CloudFormation, Terraform) 3. Design for scalability and repeatability - Implement compliance and configuration monitoring 1. Use AWS Config for compliance monitoring 2. Implement AWS CloudTrail for auditing 3. Design remediation automation - Design and implement data management strategies 1. Implement database migration strategies 2. Design backup and recovery solutions 3. Implement data lifecycle management - Design and implement configuration management 1. Design patch management strategies 2. Implement AWS Systems Manager for configuration management 3. Implement parameter management (AWS Parameter Store, Secrets Manager)
Topic 2: Policies and Standards Automation	10%	- Design and implement preventive and detective controls 1. Implement AWS Organizations and SCPs 2. Design and implement security baselines 3. Implement drift detection and remediation - Design and implement governance strategies 1. Implement approval workflows and automation 2. Implement tagging policies and resource grouping 3. Design cost optimization through policies
Topic 3: SDLC Automation	22%	- Design and implement source code management strategies 1. Implement repository configurations and hooks 2. Design code review and approval processes 3. Determine branching strategies - Design build and test environments 1. Design test automation frameworks 2. Integrate security scanning and compliance checks 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. Design failure handling strategies 4. Develop CI/CD pipelines considering testing and security requirements
Topic 4: High Availability and Disaster Recovery	16%	- Design and implement disaster recovery strategies 1. Implement backup and restore mechanisms 2. Implement multi-region active-active architectures 3. Design RTO and RPO based DR solutions 4. Implement pilot light and warm standby architectures - Design and implement high availability and scalability 1. Implement load balancing and traffic management 2. Design multi-AZ and multi-region architectures 3. Implement auto scaling strategies - Implement data backup and restore strategies 1. Implement validation testing for backups 2. Implement cross-region replication 3. Design point-in-time recovery solutions
Topic 5: Incident and Event Response	18%	- 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 response playbooks 3. Implement automated incident detection
Topic 6: Monitoring and Logging	12%	- 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. Design custom metrics and alarms (Amazon CloudWatch) 2. Implement distributed tracing (AWS X-Ray) 3. Implement log aggregation and analysis

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q55-Q60):

NEW QUESTION # 55
A company has developed a serverless web application that is hosted on AWS. The application consists of Amazon S3. Amazon API Gateway, several AWS Lambda functions, and an Amazon RDS for MySQL database. The company is using AWS CodeCommit to store the source code. The source code is a combination of AWS Serverless Application Model (AWS SAM) templates and Python code.
A security audit and penetration test reveal that user names and passwords for authentication to the database are hardcoded within CodeCommit repositories. A DevOps engineer must implement a solution to automatically detect and prevent hardcoded secrets.
What is the MOST secure solution that meets these requirements?

A. Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.
B. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Write the secret to AWS Systems Manager Parameter Store as a string. Update the SAM templates and the Python code to pull the secret from Parameter Store.
C. Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Write the secret to AWS Systems Manager Parameter Store as a secure string. Update the SAM templates and the Python code to pull the secret from Parameter Store.
D. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.

Answer: D

NEW QUESTION # 56
A company hosts a security auditing application in an AWS account. The auditing application uses an IAM role to access other AWS accounts. All the accounts are in the same organization in AWS Organizations.
A recent security audit revealed that users in the audited AWS accounts could modify or delete the auditing application's IAM role. The company needs to prevent any modification to the auditing application's IAM role by any entity other than a trusted administrator IAM role.
Which solution will meet these requirements?

A. Create an SCP that includes a Deny statement for changes to the auditing application's IAM role. Include a condition that allows the trusted administrator IAM role to make changes. Attach the SCP to the root of the organization.
B. Create an SCP that includes an Allow statement for changes to the auditing application's IAM role by the trusted administrator IAM role. Include a Deny statement for changes by all other IAM principals. Attach the SCP to the IAM service in each AWS account where the auditing application has an IAM role.
C. Create an IAM permissions boundary that includes a Deny statement for changes to the auditing application's IAM role. Include a condition that allows the trusted administrator IAM role to make changes. Attach the permissions boundary to the audited AWS accounts.
D. Create an IAM permissions boundary that includes a Deny statement for changes to the auditing application's IAM role. Include a condition that allows the trusted administrator IAM role to make changes. Attach the permissions boundary to the auditing application's IAM role in the AWS accounts.

Answer: C

NEW QUESTION # 57
A company has an application that uses an Amazon API Gateway REST API, AWS Lambda functions, and an Amazon DynamoDB table. The application currently runs in a single AWS Region. The company wants to make the application highly available across two Regions. User traffic must be routed to the Region that provides the least latency.
Which combination of steps will meet these requirements? (Select THREE.)

A. Create health checks in Amazon Route 53. Create DNS records that include a failover routing policy.
B. Create a global secondary index for the DynamoDB table.
C. Create a global table replica of the DynamoDB table in a second Region.
D. Create copies of the REST API and the Lambda functions in a second Region.
E. Create health checks in Amazon Route 53. Create DNS records that include a latency routing policy.
F. Create DNS records in Amazon Route 53 that include a multivalue answer routing policy.

Answer: C,D,E

Explanation:
To achieve multi-Region high availability for a serverless API-based application, the architecture must be duplicated in the second Region and supported by a multi-Region data layer and appropriate DNS routing.
Option A provides the required multi-Region data layer using DynamoDB global tables, which replicate data automatically and asynchronously between Regions. This allows reads and writes in either Region and prevents cross-Region latency bottlenecks.
Option C ensures that the compute components-API Gateway REST API and AWS Lambda functions-are deployed in both Regions. Each Region operates independently, providing true active-active redundancy and allowing Route 53 to route traffic directly to either Region without dependency on the other.
Option E selects Route 53 latency-based routing, which directs each user to the Region with the lowest round- trip latency. This meets the requirement to route traffic based on the Region providing the best response time rather than only providing active-passive failover.
Option D (failover routing) supports active-standby topologies, not active-active. Option B creates a global secondary index, which does not provide multi-Region replication. Option F (multivalue routing) distributes traffic randomly and does not account for latency or Region placement.
Thus, combining DynamoDB global tables, duplicated serverless architecture, and latency-based routing fully satisfies the requirements.

NEW QUESTION # 58
A company has implemented a new microservices-based application on an Amazon Elastic Container Service (Amazon ECS) cluster. After each deployment, the company wants to validate the critical user journeys and API endpoints before routing traffic to the new application version.
The company must implement an automated solution to detect issues in the new deployment and to initiate a rollback if necessary.
Which solution will meet these requirements with the LEAST operational overhead?

A. Set up Amazon CloudWatch Application Insights for the ECS cluster. Configure Application Insights to monitor key performance indicators of the microservices in the critical user journeys and API calls. Create CloudWatch alarms based on the insights. Use EventBridge to invoke an AWS Step Functions workflow to evaluate the alarms. Configure the workflow to initiate a rollback if necessary by using the alarms' built-in integration with Amazon ECS.
B. Create CloudWatch Synthetics canaries that simulate critical user journeys and API calls. Implement AWS X-Ray tracing for all the microservices. Configure X-Ray to send traces to CloudWatch. Create CloudWatch alarms based on error rates and latency metrics. Create a Lambda function to analyze the traces and to initiate a rollback if necessary by using the alarms' built-in integration with Amazon ECS.
C. Set up Amazon CloudWatch Application Insights for the ECS cluster. Create an Amazon EventBridge rule to invoke an AWS Lambda function to analyze the task states. Program the Lambda function to use the ECS UpdateService API call to initiate a rollback if a specific percentage of tasks fail.
D. Create CloudWatch Synthetics canaries that simulate critical user journeys and API calls. Configure the canaries to run against the new deployment. Create CloudWatch alarms that are invoked when canaries fail. Use the alarms' built-in integration with Amazon ECS to initiate a rollback if the alarms are invoked before traffic is routed to the new deployment.

Answer: D

Explanation:
The requirement is specifically to validate critical user journeys and API endpoints after each deployment and before routing traffic. The most direct AWS-native way to test "real" user flows and endpoints automatically is CloudWatch Synthetics canaries, which can run scripted checks (HTTP/API and browser-style journeys).
Option D minimizes operational overhead because it uses a straightforward managed pattern:
Canaries run against the new deployment to validate endpoints and journeys.
CloudWatch alarms trigger when the canaries fail (objective signal of broken journeys/APIs).
The solution then uses alarm-driven rollback (the intent here is automated rollback without writing custom analysis code or managing multi-service workflows).
Why the other options have more overhead or miss the "user journey/API validation" goal as cleanly:
A focuses on ECS task states (healthy/unhealthy tasks). That can detect deployment failures, but it doesn't validate critical user journeys or API correctness. Also requires custom Lambda logic for analysis + rollback control.
B adds even more moving parts (Application Insights + alarms + EventBridge + Step Functions). Also, monitoring KPIs is not the same as explicitly validating journeys/endpoints before routing traffic.
C is the highest overhead: canaries plus X-Ray instrumentation across all microservices, trace exporting, custom Lambda analysis, etc. That's heavy compared to canary + alarm.

NEW QUESTION # 59
An ecommerce company uses a large number of Amazon Elastic Block Store (Amazon EBS) backed Amazon EC2 instances. To decrease manual work across all the instances, a DevOps engineer is tasked with automating restart actions when EC2 instance retirement events are scheduled.
How can this be accomplished?

A. Reboot all EC2 instances during an approved maintenance window that is outside of standard business hours Set up Amazon CloudWatch alarms to send a notification in case any instance is failing EC2 instance status checks
B. Set up an AWS Health Amazon EventBridge rule to run AWS Systems Manager Automation runbooks that stop and start the EC2 instance when a retirement scheduled event occurs.
C. Create a scheduled Amazon EventBridge rule to run an AWS Systems Manager Automation runbook that checks if any EC2 instances are scheduled for retirement once a week If the instance is scheduled for retirement the runbook will hibernate the instance
D. Enable EC2Auto Recovery on all of the instances. Create an AWS Config rule to limit the recovery to occur during a maintenance window only

Answer: B

Explanation:
https://aws.amazon.com/blogs/mt/automate-remediation-actions-for-amazon-ec2-notifications-and-beyond-using-ec2-systems-manager-automation-and-aws-health/

NEW QUESTION # 60
......

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