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>> DOP-C02日本語的中対策 <<

素晴らしいDOP-C02日本語的中対策 | 最初の試行で簡単に勉強して試験に合格する & 正確的なAmazon AWS Certified DevOps Engineer - Professional

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Amazon DOP-C02（AWS認定DevOpsエンジニア - プロフェッショナル）認定試験は、DevOps分野で働く個人のスキルと専門知識を検証する包括的なテストです。この認定試験は、DevOpsの原則と実践に深い理解を持ち、AWSサービスを使用した経験がある専門家を対象としています。試験では、AWSプラットフォーム上でスケーラブルで高可用性で耐障害性のあるシステムを設計、展開、管理する個人の能力を評価します。

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q393-Q398):

質問 # 393
A company has an organization in AWS Organizations with many OUs that contain many AWS accounts.
The organization has a dedicated delegated administrator AWS account.
The company needs the accounts in one OU to have server-side encryption enforced for all Amazon Elastic Block Store (Amazon EBS) volumes and Amazon Simple Queue Service (Amazon SQS) queues that are created or updated on an AWS CloudFormation stack.
Which solution will enforce this policy before a CloudFormation stack operation in the accounts of this OU?

A. Write an SCP to deny the creation of EBS volumes and SQS queues unless the EBS volumes and SQS queues have server-side encryption. Attach the SCP to the OU.
B. Set up AWS Config in all the accounts in the OU. Use AWS Systems Manager to deploy AWS Config rules that enforce server-side encryption for EBS volumes and SQS queues across the accounts in the OU.
C. Activate trusted access to CloudFormation StackSets. Create a CloudFormation Hook that enforces server-side encryption on EBS volumes and SQS queues. Deploy the Hook across the accounts in the OU by using StackSets.
D. Create an AWS Lambda function in the delegated administrator account that checks whether server- side encryption is enforced for EBS volumes and SQS queues. Create an IAM role to provide the Lambda function access to the accounts in the OU.

正解：C

解説：
The requirement specifies enforcing encryption before CloudFormation creates or updates resources. This is key because preventive enforcement must occur during the provisioning workflow, not after resources already exist. AWS provides CloudFormation Hooks specifically for this purpose. A Hook allows an organization to intercept a CloudFormation stack operation and validate resource configurations before provisioning occurs.
This feature is recommended by AWS for pre-deployment governance such as enforcing encryption policies, tag compliance, or security restrictions.
By enabling trusted access between CloudFormation StackSets and AWS Organizations, the Hook can be deployed centrally from the delegated administrator account across all accounts in the specified OU. Any attempt to create or update EBS volumes or SQS queues through CloudFormation is validated first by the Hook. If encryption is not configured, the operation fails immediately.
Option C (SCP) blocks API calls globally, but SCPs cannot perform conditional logic based on resource properties passed by CloudFormation prior to creation. Option B (AWS Config) detects violations after resources already exist, which does not satisfy "before stack operation." Option D (Lambda remediation) also occurs after the resource is created.
Thus, CloudFormation Hooks distributed via StackSets provide the only solution that enforces compliance before the provisioning lifecycle

質問 # 394
A company wants to use a grid system for a proprietary enterprise m-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes an /etc.
/cluster/nodes config file must be updated listing the IP addresses of the current node members of that cluster.
The company wants to automate the task of adding new nodes to a cluster.
What can a DevOps engineer do to meet these requirements?

A. Put the file nodes config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for thecluster nodes. When adding a new node to the cluster update the file with all tagged instances and make a commit in version control. Deploy the new file and restart the services.
B. Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the ' etc./cluster/nodes config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.
C. Create an Amazon S3 bucket and upload a version of the /etc./cluster/nodes config file Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager such as Monit or system, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster edit the file ' s most recent members Upload the new file to the S3 bucket.
D. Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/. nodes config. Tile whenever a new instance is added to the cluster.

正解：B

解説：
You can run custom recipes manually, but the best approach is usually to have AWS OpsWorks Stacks run them automatically. Every layer has a set of built-in recipes assigned each of five lifecycle events-Setup, Configure, Deploy, Undeploy, and Shutdown. Each time an event occurs for an instance, AWS OpsWorks Stacks runs the associated recipes for each of the instance ' s layers, which handle the corresponding tasks.
For example, when an instance finishes booting, AWS OpsWorks Stacks triggers a Setup event. This event runs the associated layer ' s Setup recipes, which typically handle tasks such as installing and configuring packages

質問 # 395
A company uses a trunk-based development branching strategy. The company has two AWS CodePipeline pipelines that are integrated with a Git provider. The pull_request pipeline has a branch filter that matches the feature branches. The main_branch pipeline has a branch filter that matches the main branch.
When pull requests are merged into the main branch, the pull requests are deployed by using the main_branch pipeline. The company ' s developers need test results for all submitted pull requests as quickly as possible from the pull_request pipeline. The company wants to ensure that the main_branch pipeline ' s test results finish and that each deployment is complete before the next pipeline execution.
Which solution will meet these requirements?

A. Configure the pull_request pipeline to use SUPERSEDED mode. Configure the main_branch pipeline to use QUEUED mode.
B. Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use SUPERSEDED mode.
C. Configure the pull_request pipeline to use QUEUED mode. Configure the main_branch pipeline to use SUPERSEDED mode.
D. Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use QUEUED mode.

正解：D

解説：
In CodePipeline's execution mode,
* PARALLEL mode for pull_request pipelines ensures that multiple feature branches can be tested simultaneously for quick feedback.
* QUEUED mode for main_branch ensures deployments run sequentially - each must finish before the next begins, preventing overlap. This configuration aligns with AWS CodePipeline best practices for trunk-based development and concurrent test pipelines.

質問 # 396
A company is experiencing failures in its AWS CodeDeploy deployments for a critical application. The application is deployed on Amazon EC2 instances. A DevOps engineer must analyze the failed deployments to identify the root cause of the failures.
Which solution will provide the appropriate information to troubleshoot the deployment issues?

A. Examine AWS Trusted Advisor checks for the CodeDeploy deployments. Use the AWS Health Dashboard to monitor application health. Analyze performance metrics in Amazon CloudWatch dashboards.
B. Configure VPC Flow Logs to monitor network traffic. Use Amazon Inspector to detect non-network deployment issues. Use Amazon Detective to analyze the findings.
C. Enable detailed monitoring on the EC2 instances. Use AWS Systems Manager Run Command to run troubleshooting scripts on all the EC2 instances simultaneously. Analyze the results in AWS CloudTrail logs.
D. Use Amazon CloudWatch Logs to review application logs. Analyze CodeDeploy deployment logs in the /opt/codedeploy-agent/deployment-root/ directory on the EC2 instances. Use AWS X-Ray to trace requests through the application components.

正解：D

解説：
CodeDeploy deployment failures must be diagnosed using deployment-specific logs and related application logs. CodeDeploy writes detailed logs on the target EC2 instances under /opt/codedeploy-agent/deployment- root/ (for example in logs and deployment-logs subdirectories). These logs include information about lifecycle events (BeforeInstall, AfterInstall, ApplicationStart, etc.), script execution failures, permissions issues, and any exit codes returned by deployment hooks.
Option C correctly points to CodeDeploy agent logs on the EC2 instances as the primary source for root cause analysis. Additionally, application-level logs streamed to Amazon CloudWatch Logs help validate whether the application itself is working correctly after deployment. For complex, multi-tier applications, AWS X-Ray can trace requests end to end, helping determine if issues are caused by downstream dependencies instead of the deployment process.
Options A, B, and D focus on network flow, generic performance, or high-level checks, none of which provide sufficient, deployment-level detail for CodeDeploy. Trusted Advisor and AWS Health do not surface step-by-step deployment log data. Therefore, the combination of CodeDeploy logs on the instances, CloudWatch Logs, and (optionally) X-Ray is the correct troubleshooting approach.

質問 # 397
A company uses an organization in AWS Organizations to manage 10 AWS accounts. All features are enabled, and trusted access for AWS CloudFormation is enabled.
A DevOps engineer needs to use CloudFormation to deploy an IAM role to the Organizations management account and all member accounts in the organization.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a CloudFormation StackSet that has self-managed permissions. Set the root OU as a deployment target.
B. Create a CloudFormation StackSet that has self-managed permissions. Set the root OU as a deployment target. Deploy a separate CloudFormation stack in the Organizations management account.
C. Create a CloudFormation StackSet that has service-managed permissions. Set the root OU as a deployment target.
D. Create a CloudFormation StackSet that has service-managed permissions. Set the root OU as a deployment target. Deploy a separate CloudFormation stack in the Organizations management account.

正解：D

解説：
Service-managed StackSets are the correct low-overhead deployment model when AWS Organizations trusted access is enabled. CloudFormation creates and manages the required StackSet execution roles, so self- managed permissions are unnecessary. However, AWS explicitly states that service-managed StackSets do not deploy stacks to the organization management account, even if the management account is part of the organization or belongs to an OU. Therefore, targeting the root OU deploys to the member accounts, but the management account still needs a separate normal CloudFormation stack. Option B is the only answer that covers both the member accounts and the management account with the least operational overhead. Option A misses the management account, while C and D require unnecessary self-managed role administration.

質問 # 398
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