素晴らしいDOP-C02試験概要一回合格-有効的なDOP-C02模擬解説集

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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
High Availability and Disaster Recovery16%- 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
- Implement data backup and restore strategies
  • 1. Design point-in-time recovery solutions
  • 2. Implement cross-region replication
  • 3. Implement validation testing for backups
- Design and implement disaster recovery strategies
  • 1. Implement backup and restore mechanisms
  • 2. Implement pilot light and warm standby architectures
  • 3. Implement multi-region active-active architectures
  • 4. Design RTO and RPO based DR solutions
SDLC Automation22%- Design and implement source code management strategies
  • 1. Determine branching strategies
  • 2. Design code review and approval processes
  • 3. Implement repository configurations and hooks
- Design build and test environments
  • 1. Implement build environments (isolated, reproducible)
  • 2. Design test automation frameworks
  • 3. Integrate security scanning and compliance checks
- Design and implement CI/CD pipelines
  • 1. Design failure handling strategies
  • 2. Develop CI/CD pipelines considering testing and security requirements
  • 3. Implement deployment strategies (blue-green, canary, rolling)
  • 4. Determine appropriate CI/CD pipeline architecture
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. Design patch management strategies
  • 2. Implement AWS Systems Manager for configuration management
  • 3. Implement parameter management (AWS Parameter Store, Secrets Manager)
- Implement compliance and configuration monitoring
  • 1. Design remediation automation
  • 2. Use AWS Config for compliance monitoring
  • 3. Implement AWS CloudTrail for auditing
- Design and implement data management strategies
  • 1. Implement data lifecycle management
  • 2. Implement database migration strategies
  • 3. Design backup and recovery solutions
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. Implement automated response playbooks
  • 2. Design event aggregation and correlation
  • 3. Implement automated incident detection
Monitoring and Logging12%- Design and implement monitoring and observability strategies
  • 1. Implement log aggregation and analysis
  • 2. Implement distributed tracing (AWS X-Ray)
  • 3. Design custom metrics and alarms (Amazon CloudWatch)
- Design and implement alerting and incident management
  • 1. Design runbook automation
  • 2. Create alarm notification strategies
  • 3. Implement automated incident response
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. Implement approval workflows and automation
  • 3. Design cost optimization through policies

>> DOP-C02試験概要 <<

DOP-C02模擬解説集 & DOP-C02合格率書籍

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q450-Q455):

質問 # 450
A company requires all its employees to access secrets and parameters through AWS Systems Manager Parameter Store. All secrets must automatically rotate every 60 days.
A DevOps engineer must add a new secret to give an application access to an Amazon ElastiCache (Redis OSS) cluster.
Which solution will meet these requirements with the LEAST operational overhead?

正解：B

解説：
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
The correct answer is D because AWS Secrets Manager supports automatic secret rotation and provides built- in rotation templates for supported services, including Amazon ElastiCache for Redis OSS. This gives the least operational overhead for rotating the secret every 60 days.
The requirement also states that employees and applications must access secrets and parameters through AWS Systems Manager Parameter Store. Parameter Store can reference Secrets Manager secrets by using a reserved path, which allows the application to retrieve the secret through Parameter Store while the secret is actually stored and rotated in Secrets Manager.
Why the other options are incorrect:
A). This option correctly uses Secrets Manager rotation, but it does not specifically use the reserved Parameter Store reference path approach that satisfies the access requirement through Parameter Store as clearly as option D.
B). Parameter Store does not provide native automatic rotation for secrets in the same way that Secrets Manager does.
C). This option is possible, but it requires custom Lambda and EventBridge automation, which creates more operational overhead than using native Secrets Manager rotation with the provided template.


質問 # 451
A company uses AWS CloudFormation to deploy application environments. A deployment failed due to manual modifications in stack resources. The DevOps engineer wants to detect manual modifications and alert the DevOps lead with the least effort.
Which solution meets these requirements?

正解：A

解説：
AWS Config offers a managed rule called CLOUDFORMATION_STACK_DRIFT_DETECTION_CHECK to detect stack drift automatically.
Creating an SNS topic and subscribing the DevOps lead enables simple notification without custom Lambda functions.
An EventBridge rule that triggers on NON_COMPLIANT status (when drift is detected) can send alerts directly to SNS.
Option B adds complexity by requiring custom rules and Lambda. Option C incorrectly triggers on COMPLIANT, not NON_COMPLIANT. Option D needs a Lambda for email, while SNS can send email directly.
Hence, Option A offers the least operational effort.
References:
AWS Config Drift Detection
AWS Config Managed Rules


質問 # 452
A DevOps engineer needs to implement a solution to install antivirus software on all the Amazon EC2 instances in an AWS account. The EC2 instances run the most recent version of Amazon Linux .
The solution must detect all instances and must use an AWS Systems Manager document to install the software if the software is not present.
Which solution will meet these requirements?

正解：D

解説：
Option A best matches the requirement in the simplest, most direct way:
* Systems Manager State Manager is designed to apply and maintain a desired state on managed instances by running associations on a schedule or continuously across targets (for example, "all managed nodes").
* By using a Systems Manager document in the association that installs the antivirus package (and can be written to be idempotent: "install only if not present"), State Manager both detects drift (software missing) and remediates it automatically by reapplying the desired configuration.
* This approach automatically covers all instances that are managed by Systems Manager (which is typically the standard requirement for fleet management on Amazon Linux).
Why the others are more overhead or not as direct:
* B can work, but it requires building and operating a custom Config rule plus remediation wiring. That' s more components and maintenance than State Manager for a straightforward "ensure software is installed" task.
* C Amazon Inspector is a vulnerability management service; it's not the primary tool for "ensure a specific software package is installed everywhere" and "remediate via SSM doc" as a desired-state control.
* D only detects new instances at launch time via CloudTrail RunInstances, and then you still need Inventory correlation logic. It's more complex and can miss already-running instances unless additional logic is added.


質問 # 453
A company has an RPO of 24 hours and an RTO of 10 minutes for a critical web application that runs on Amazon EC2 instances. The company uses AWS Organizations to manage its AWS account. The company wants to set up AWS Backup for its AWS environment.
A DevOps engineer configures AWS Organizations for AWS Backup. The DevOps engineer creates a new centralized AWS account to store the backups. Each EC2 instance has four Amazon Elastic Block Store (Amazon EBS) volumes attached.
Which solution will meet this requirement MOST securely?

正解：A

解説：
The question emphasizes "MOST securely" and involves a multi-account backup strategy with a centralized backup account. AWS Backup best practice for high-security environments is to use customer managed KMS keys for encrypting backup vaults rather than AWS managed keys. Customer managed keys provide tighter control over key lifecycle, key policies, and cross-account access.
Option A creates encrypted backup vaults in both the source and centralized accounts, each protected by a customer managed KMS key in that account. AWS Backup is then configured to create full EC2 backups (AMIs) and copy them to the centralized backup vault. This design ensures:
* Encryption at rest in both accounts.
* Independent key control and policies per account.
* Secure cross-account backup copy behavior governed by explicit KMS key grants and vault access policies.
Option B incorrectly uses the source account's KMS key to encrypt vaults in both accounts, which is not the recommended pattern; each account should manage its own CMK. Options C and D rely partially or fully on AWS managed keys, which are less appropriate when the requirement explicitly stresses maximum security and control.
Therefore, Option A best satisfies both the RPO/RTO goals (daily AMI backups with rapid restore) and the strongest encryption posture.


質問 # 454
A company that runs many workloads on AWS has an Amazon EBS spend that has increased over time. The DevOps team notices there are many unattached EBS volumes. Although there are workloads where volumes are detached, volumes over 14 days old are stale and no longer needed. A DevOps engineer has been tasked with creating automation that deletes unattached EBS volumes that have been unattached for 14 days.
Which solution will accomplish this?

正解：A

解説：
Explanation
The requirement is to create automation that deletes unattached EBS volumes that have been unattached for 14 days. To do this, the DevOps engineer needs to use the following steps:
Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. CloudWatch Events is a service that enables event-driven architectures by delivering events from various sources to targets. Lambda is a service that lets you run code without provisioning or managing servers. By creating a CloudWatch Events rule that executes a Lambda function daily, the DevOps engineer can schedule a recurring task to check and delete unattached EBS volumes.
The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old. The Lambda function can use the EC2 API to list and filter unattached EBS volumes based on their state and tags.
The function can then tag each unattached volume with the current date using the create-tags command.
The function can also compare the tag value with the current date and delete any unattached volume that has been tagged more than 14 days ago using the delete-volume command.


質問 # 455
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