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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
SDLC Automation	22%	- 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. Determine appropriate CI/CD pipeline architecture 2. Implement deployment strategies (blue-green, canary, rolling) 3. Develop CI/CD pipelines considering testing and security requirements 4. Design failure handling strategies - 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 Logging	12%	- Design and implement monitoring and observability strategies 1. Implement log aggregation and analysis 2. Design custom metrics and alarms (Amazon CloudWatch) 3. Implement distributed tracing (AWS X-Ray) - Design and implement alerting and incident management 1. Design runbook automation 2. Implement automated incident response 3. Create alarm notification strategies
High Availability and Disaster Recovery	16%	- 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 high availability and scalability 1. Design multi-AZ and multi-region architectures 2. Implement load balancing and traffic management 3. Implement auto scaling strategies - Design and implement disaster recovery strategies 1. Design RTO and RPO based DR solutions 2. Implement pilot light and warm standby architectures 3. Implement backup and restore mechanisms 4. Implement multi-region active-active architectures
Configuration Management and Infrastructure as Code	22%	- 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 infrastructure as code 1. Develop IaC templates (AWS CloudFormation, Terraform) 2. Implement modular and reusable infrastructure components 3. Design for scalability and repeatability - Implement compliance and configuration monitoring 1. Use AWS Config for compliance monitoring 2. Design remediation automation 3. Implement AWS CloudTrail for auditing - Design and implement configuration management 1. Implement AWS Systems Manager for configuration management 2. Design patch management strategies 3. Implement parameter management (AWS Parameter Store, Secrets Manager)
Policies and Standards Automation	10%	- Design and implement governance strategies 1. Design cost optimization through policies 2. Implement tagging policies and resource grouping 3. Implement approval workflows and automation - 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
Incident and Event Response	18%	- Design and implement event and incident management 1. Design event aggregation and correlation 2. Implement automated incident detection 3. Implement automated response playbooks - Design and implement chaos engineering practices 1. Design resilience testing strategies 2. Analyze system behavior under failure conditions 3. Implement fault injection experiments (AWS Fault Injection Simulator)

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q448-Q453):

NEW QUESTION # 448
A developer is using the AWS Serverless Application Model (AWS SAM) to create a prototype for an AWS Lambda function. The AWS SAM template contains an AWS::Serverless::Function resource that has the CodeUri property pointing to an Amazon S3 location. The developer wants to identify the correct commands for deployment before creating a CI/CD pipeline.
The developer creates an archive of the Lambda function code named package.zip, uploads the .zip file archive to the S3 location specified in the CodeUri property, and runs the sam deploy command to deploy the Lambda function. The developer updates the Lambda function code and uses the same steps to deploy the new version. The sam deploy command fails and returns an error of " no changes to deploy. " Which solutions will deploy the new version? (Select TWO.)

A. Update the CodeUri property to reference the local application code folder. Use the aws cloudformation package command and the aws cloudformation deploy command.
B. Update the CodeUri property to reference the local application code folder. Use the sam deploy command.
C. Use the aws cloudformation update-stack-instances command instead of the sam deploy command.
D. Use the aws cloudformation update-stack command instead of the sam deploy command.
E. Update the CodeUri property to reference the local application code folder. Use the aws cloudformation create-change-set command and the aws cloudformation execute-change-set command.

Answer: A,B

Explanation:
When the CodeUri property points directly to a static S3 object path, AWS CloudFormation detects no template changes between deployments because the S3 URI remains identical even after you upload updated code to the same key. The solution is to reference local source code so that SAM or CloudFormation can compute a content hash, upload the artifact with a unique S3 key, and update the template, creating a detectable change. Option C works because sam deploy with a local CodeUri path automatically packages the function, uploads it to S3 with a hash-derived key, and deploys the updated stack. Option E works for the same reason: aws cloudformation package computes the hash, uploads the artifact, and produces a packaged template that aws cloudformation deploy can then apply. Options A and B do not resolve the root cause and are not designed for SAM Lambda packaging.

NEW QUESTION # 449
A company is using the AWS Cloud Development Kit (AWS CDK) to develop a microservices-based application. The company needs to create reusable infrastructure components for three environments:
development, staging, and production. The components must include networking resources, database resources, and serverless compute resources.
The company must implement a solution that provides consistent infrastructure across environments while offering the option for environment-specific customizations. The solution also must minimize code duplication.
Which solution will meet these requirements with the LEAST development overhead?

A. Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist.
Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.
B. Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist.Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.
C. Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist.
Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.
D. Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist.
Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.

Answer: C

Explanation:
AWS CDK recommends using Level 3 (L3) custom constructs to encapsulate reusable multi-resource infrastructure patterns (networking, compute, DB). Then, define a single set of environment-aware stacks that accept environment parameters for deployment. This ensures consistency with minimal code duplication, per AWS CDK best practices and design patterns whitepaper.

NEW QUESTION # 450
A company runs an application on Amazon EC2 instances. The company uses a series of AWS CloudFormation stacks to define the application resources. A developer performs updates by building and testing the application on a laptop and then uploading the build output and CloudFormation stack templates to Amazon S3. The developer's peers review the changes before the developer performs the CloudFormation stack update and installs a new version of the application onto the EC2 instances.
The deployment process is prone to errors and is time-consuming when the developer updates each EC2 instance with the new application. The company wants to automate as much of the application deployment process as possible while retaining a final manual approval step before the modification of the application or resources.
The company already has moved the source code for the application and the CloudFormation templates to AWS CodeCommit. The company also has created an AWS CodeBuild project to build and test the application.
Which combination of steps will meet the company's requirements? (Choose two.)

A. Use AWS CodePipeline to invoke the CodeBuild job, run the CloudFormation update, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.
B. Create an application group and a deployment group in AWS CodeDeploy. Install the CodeDeploy agent on the EC2 instances.
C. Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.
D. Create an application revision and a deployment group in AWS CodeDeploy. Create an environment in CodeDeploy. Register the EC2 instances to the CodeDeploy environment.
E. Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, run the CloudFormation change sets and start the AWS CodeDeploy deployment.

Answer: B,E

Explanation:
A- https://docs.aws.amazon.com/codedeploy/latest/userguide/codedeploy-agent.html D - This option correctly utilizes AWS CodePipeline to invoke the CodeBuild job and create CloudFormation change sets. It adds a manual approval step before executing the change sets and starting the AWS CodeDeploy deployment. This ensures that the deployment process is automated while retaining the final manual approval step.

NEW QUESTION # 451
A company has its AWS accounts in an organization in AWS Organizations. AWS Config is manually configured in each AWS account. The company needs to implement a solution to centrally configure AWS Config for all accounts in the organization The solution also must record resource changes to a central account.
Which combination of actions should a DevOps engineer perform to meet these requirements? (Choose two.)

A. Configure a delegated administrator account for AWS Config. Create a service-linked role for AWS Config in the organization's management account.
B. Create an AWS CloudFormation template to create an AWS Config aggregator. Configure a CloudFormation stack set to deploy the template to all accounts in the organization.
C. Configure a delegated administrator account for AWS Config. Enable trusted access for AWS Config in the organization.
D. Create an AWS Config organization aggregator in the delegated administrator account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.
E. Create an AWS Config organization aggregator in the organization's management account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.

Answer: C,D

Explanation:
https://aws.amazon.com/blogs/mt/org-aggregator-delegated-admin/ https://docs.aws.amazon.com/organizations/latest/userguide/services-that-can-integrate-config.html

NEW QUESTION # 452
A DevOps engineer must implement a solution that immediately terminates Amazon EC2 instances in Auto Scaling groups when cryptocurrency mining activity is detected.
Which solution will meet these requirements with the LEAST development effort?

A. Configure VPC Flow Logs # S3 # Lambda every 5 mins # Athena query # terminate EC2 instances.
B. Enable AWS Security Hub. Monitor EC2 findings. Create an EventBridge rule triggered by Security Hub. Invoke Lambda to terminate EC2 instances.
C. Enable Amazon GuardDuty. Monitor EC2 findings. Create an EventBridge rule triggered by GuardDuty. Invoke a Lambda function that terminates the affected EC2 instances.
D. Configure Amazon Route 53 query logs # CloudWatch # Lambda every 5 mins to detect mining-related domains and terminate EC2 instances.

Answer: C

Explanation:
Comprehensive & Detailed Explanation (150-250 words):
Amazon GuardDuty provides built-in, fully managed threat detection for AWS accounts and workloads, including automatic detection of cryptocurrency mining activity, compromised EC2 instances, command-and- control traffic patterns, and anomalous behaviors. GuardDuty includes multiple threat identifiers such as EC2:
CryptoCurrencyActivity.BitcoinToolDetected and EC2:UnauthorizedAccess.CryptoMining. Because this capability is native and requires no custom detection logic, it provides the lowest development and operational overhead compared to alternatives.
When GuardDuty generates a finding, it publishes the event automatically to Amazon EventBridge. The DevOps engineer can create an EventBridge rule that matches the specific mining-related finding types. The target of the rule is an AWS Lambda function that parses instance details from the finding and calls TerminateInstances on the affected EC2 instance.
This enables real-time automated remediation without needing recurring scans, log parsing, or complex data queries.
Options A and B require building custom detection pipelines and maintaining periodic Lambda polling, increasing long-term complexity. Option D (Security Hub) aggregates findings but still relies on GuardDuty for detection, adding unnecessary overhead.
Therefore, GuardDuty + EventBridge + Lambda termination is the easiest, quickest, and most AWS- recommended solution following incident-response best practices.

NEW QUESTION # 453
......

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