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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
SDLC Automation22%- 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 source code management strategies
  • 1. Design code review and approval processes
  • 2. Determine branching strategies
  • 3. Implement repository configurations and hooks
- Design and implement CI/CD pipelines
  • 1. Design failure handling strategies
  • 2. Determine appropriate CI/CD pipeline architecture
  • 3. Develop CI/CD pipelines considering testing and security requirements
  • 4. Implement deployment strategies (blue-green, canary, rolling)
Policies and Standards Automation10%- Design and implement governance strategies
  • 1. Implement approval workflows and automation
  • 2. Implement tagging policies and resource grouping
  • 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
Monitoring and Logging12%- Design and implement alerting and incident management
  • 1. Create alarm notification strategies
  • 2. Design runbook automation
  • 3. Implement automated incident response
- Design and implement monitoring and observability strategies
  • 1. Design custom metrics and alarms (Amazon CloudWatch)
  • 2. Implement log aggregation and analysis
  • 3. Implement distributed tracing (AWS X-Ray)
Configuration Management and Infrastructure as Code22%- 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 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. Design for scalability and repeatability
  • 2. Develop IaC templates (AWS CloudFormation, Terraform)
  • 3. Implement modular and reusable infrastructure components
- 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)
Incident and Event Response18%- Design and implement chaos engineering practices
  • 1. Analyze system behavior under failure conditions
  • 2. Implement fault injection experiments (AWS Fault Injection Simulator)
  • 3. Design resilience testing strategies
- Design and implement event and incident management
  • 1. Implement automated response playbooks
  • 2. Design event aggregation and correlation
  • 3. Implement automated incident detection
High Availability and Disaster Recovery16%- Design and implement disaster recovery strategies
  • 1. Implement pilot light and warm standby architectures
  • 2. Implement backup and restore mechanisms
  • 3. Implement multi-region active-active architectures
  • 4. Design RTO and RPO based DR solutions
- Implement data backup and restore strategies
  • 1. Implement validation testing for backups
  • 2. Design point-in-time recovery solutions
  • 3. Implement cross-region replication
- Design and implement high availability and scalability
  • 1. Implement auto scaling strategies
  • 2. Implement load balancing and traffic management
  • 3. Design multi-AZ and multi-region architectures

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q77-Q82):

NEW QUESTION # 77
A company is migrating its on-premises Windows applications and Linux applications to AWS. The company will use automation to launch Amazon EC2 instances to mirror the on-premises configurations. The migrated applications require access to shared storage that uses SMB for Windows and NFS for Linux.
The company is also creating a pilot light disaster recovery (DR) environment in another AWS Region. The company will use automation to launch and configure the EC2 instances in the DR Region. The company needs to replicate the storage to the DR Region.
Which storage solution will meet these requirements?

Answer: A

Explanation:
Explanation
To meet the requirements of migrating its on-premises Windows and Linux applications to AWS and creating a pilot light DR environment in another AWS Region, the company should use Amazon FSx for NetApp ONTAP for the application storage. Amazon FSx for NetApp ONTAP is a fully managed service that provides highly reliable, scalable, high-performing, and feature-rich file storage built on NetApp's popular ONTAP file system. FSx for ONTAP supports multiple protocols, including SMB for Windows and NFS for Linux, so the company can access the shared storage from both types of applications. FSx for ONTAP also supports NetApp SnapMirror replication, which enables the company to replicate the storage to the DR Region. NetApp SnapMirror replication is efficient, secure, and incremental, and it preserves the data deduplication and compression benefits of FSx for ONTAP. The company can use automation to launch and configure the EC2 instances in the DR Region and then use NetApp SnapMirror to restore the data from the primary Region.
The other options are not correct because they do not meet the requirements or follow best practices. Using Amazon S3 for the application storage is not a good option because S3 is an object storage service that does not support SMB or NFS protocols natively. The company would need to use additional services or software to mount S3 buckets as file systems, which would add complexity and cost. Using Amazon EBS for the application storage is also not a good option because EBS is a block storage service that does not support SMB or NFS protocols natively. The company would need to set up and manage file servers on EC2 instances to provide shared access to the EBS volumes, which would add overhead and maintenance. Using a Volume Gateway in AWS Storage Gateway for the application storage is not a valid option because Volume Gateway does not support SMB protocol. Volume Gateway only supports iSCSI protocol, which means that only Linux applications can access the shared storage.
References:
* 1: What is Amazon FSx for NetApp ONTAP? - FSx for ONTAP
* 2: Amazon FSx for NetApp ONTAP
* 3: Amazon FSx for NetApp ONTAP | NetApp
* 4: AWS Announces General Availability of Amazon FSx for NetApp ONTAP
* : Replicating Data with NetApp SnapMirror - FSx for ONTAP
* : What Is Amazon S3? - Amazon Simple Storage Service
* : What Is Amazon Elastic Block Store (Amazon EBS)? - Amazon Elastic Compute Cloud
* : What Is AWS Storage Gateway? - AWS Storage Gateway


NEW QUESTION # 78
A company uses an organization in AWS Organizations to manage several AWS accounts that the company's developers use. The company requires all data to be encrypted in transit.
Multiple Amazon S3 buckets that were created in developer accounts allow unencrypted connections. A DevOps engineer must enforce encryption of data in transit for all existing S3 buckets that are created in accounts in the organization.
Which solution will meet these requirements?

Answer: B

Explanation:
Step 1: Enabling AWS Config for the OrganizationThe first step is to enable AWS Config across the AWS Organization. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. By enabling AWS Config, you can ensure that all S3 buckets within the organization are tracked and evaluated according to compliance rules.
Action: Turn on AWS Config for all AWS accounts in the organization.
Why: AWS Config will help monitor all resources (like S3 buckets) in real time to detect whether they are compliant with security policies.
Reference:
Step 2: Deploying a Conformance Pack with Managed RulesAfter AWS Config is enabled, you need to deploy a conformance pack that contains the s3-bucket-ssi-requests-only managed rule. This rule enforces that all S3 buckets only allow requests using Secure Socket Layer (SSL) connections (HTTPS).
Action: Deploy a conformance pack that uses the s3-bucket-ssi-requests-only rule. This rule ensures that only SSL connections (for encrypted data in transit) are allowed when accessing S3.
Why: This rule guarantees that data is encrypted in transit by enforcing SSL connections to the S3 buckets.
Step 3: Using an AWS Systems Manager Automation RunbookTo automatically remediate the compliance issues, such as S3 buckets allowing non-SSL requests, a Systems Manager Automation runbook is deployed. The runbook will automatically add a bucket policy that denies access to any requests that do not use SSL.
Action: Use a Systems Manager Automation runbook that adds a bucket policy statement to deny access when the aws:SecureTransport condition key is false.
Why: This ensures that all S3 buckets across the organization comply with the policy of enforcing encrypted data in transit.
This corresponds to Option C: Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:SecureTransport condition key is false.


NEW QUESTION # 79
A company deployed an Amazon CloudFront distribution that accepts requests and routes to an Amazon API Gateway HTTP API. During a recent security audit, the company discovered that requests from the internet could reach the HTTP API without using the CloudFront distribution.
A DevOps engineer must ensure that connections to the HTTP API use the CloudFront distribution.
Which solution will meet these requirements?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
To restrict direct access to API Gateway, add a custom header in the CloudFront distribution origin request and use a Lambda authorizer in API Gateway to validate that header. Only requests routed through CloudFront will include this header. This is the AWS-recommended pattern in "Secure your APIs behind CloudFront using custom headers and Lambda authorizers."


NEW QUESTION # 80
A DevOps engineer maintains a web application that is deployed on an Amazon Elastic Container Service (Amazon ECS) service behind an Application Load Balancer (ALB).
Recent updates to the service caused downtime for the application because of issues with the application code.
The DevOps engineer needs to design a solution to test updates on a small amount of traffic first before deploying to the rest of the service.
Which solution will meet these requirements?

Answer: A

Explanation:
The key requirement is to shift a small percentage of traffic to a new version first to validate changes before rolling out to the entire ECS service, thereby reducing downtime and deployment risk. For ECS services behind an Application Load Balancer, the AWS-recommended and most reliable approach is to use AWS CodeDeploy with blue/green or canary deployments.
Option B directly addresses this requirement. By configuring the ECS service to use CodeDeploy as the deployment controller, CodeDeploy can manage traffic shifting between two ALB target groups: one for the current (stable) version and one for the new version. The CodeDeployDefault.
ECSCanary10Percent15Minutes deployment configuration initially routes 10% of production traffic to the new task set, monitors the deployment for issues, and then shifts the remaining traffic after the defined interval. This enables early detection of application errors while limiting user impact.
Option A and C rely on rolling updates, which replace tasks incrementally but do not provide precise traffic control or automated rollback based on health checks. Option D's slow start setting only affects how quickly targets receive traffic after registration and does not implement true canary testing.
Therefore, using AWS CodeDeploy with ECS canary deployments is the most robust, AWS-supported solution to test changes safely before full rollout.


NEW QUESTION # 81
A company uses an organization in AWS Organizations to manage multiple AWS accounts in multiple OUs. The company is planning to implement a comprehensive account management solution and wants to ensure consistent baseline configurations.
A DevOps engineer is developing a solution to automatically deploy AWS CloudFormation templates to new AWS accounts. The specific CloudFormation template that the solution deploys must vary based on which organizational unit (OU) each new account is placed in.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: B

Explanation:
The requirement is to automatically apply different baseline CloudFormation templates based on OU placement when new AWS accounts are created, while keeping operational overhead as low as possible. Because the company is already using AWS Organizations and is planning a comprehensive account management strategy, the most AWS-native and efficient solution is AWS Control Tower with Customizations for AWS Control Tower (CfCT).
CfCT is specifically designed to extend Control Tower's baseline by allowing administrators to deploy OU-scoped CloudFormation templates automatically. The solution uses a manifest file to map CloudFormation templates to specific OUs, ensuring that each new account receives the correct baseline configuration immediately after provisioning. Templates and configuration are stored in a version-controlled Git repository, providing auditability, change tracking, and rollback capabilities.
Option B adds unnecessary operational complexity by introducing a custom CodePipeline that must be manually triggered and maintained. This duplicates functionality that CfCT already provides natively. Options C and D rely on custom Lambda logic and EventBridge rules, which increase maintenance burden, reduce transparency, and lack built-in OU-aware governance features.
AWS documentation explicitly recommends Customizations for AWS Control Tower for OU-based, scalable, and automated baseline deployments. Therefore, Option A delivers the required functionality with the least operational overhead and aligns with AWS best practices for multi-account governance.


NEW QUESTION # 82
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