Amazon DOP-C02 Exam | DOP-C02受験体験 -パス保証DOP-C02: AWS Certified DevOps Engineer - Professional試験

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多分、DOP-C02テスト質問の数が伝統的な問題の数倍である。Amazon　DOP-C02試験参考書は全ての知識を含めて、全面的です。そして、DOP-C02試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。DOP-C02試験参考書があれば,ほかの試験参考書を勉強する必要がないです。

Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Resilient Cloud Solutions	15%	- High availability and fault tolerance design 1. Multi-AZ and multi-region architectures 2. Disaster recovery strategies
SDLC Automation	22%	- CI/CD pipeline design and implementation 1. Pipeline optimization and scaling 2. Build and deployment automation
Incident and Event Management	18%	- Operational response and recovery 1. Incident detection and remediation 2. Automated event-driven responses
Monitoring and Logging	15%	- Observability and metrics 1. Log aggregation and analysis 2. CloudWatch monitoring and alarms
Security and Compliance Automation	13%	- Security automation in CI/CD and infrastructure 1. IAM policy automation and governance 2. Compliance monitoring and auditing
Configuration Management and Infrastructure as Code	17%	- Infrastructure provisioning and automation 1. AWS CloudFormation and CDK usage 2. Configuration tools and automation strategies

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q420-Q425):

質問 # 420
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 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.
B. 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.
C. 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.
D. 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.

正解：A

解説：
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
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.

質問 # 421
A company is using an AWS CodeBuild project to build and package an application. The packages are copied to a shared Amazon S3 bucket before being deployed across multiple AWS accounts.
The buildspec.yml file contains the following:
The DevOps engineer has noticed that anybody with an AWS account is able to download the artifacts.
What steps should the DevOps engineer take to stop this?

A. Modify the post_build command to use --acl public-read and configure a bucket policy that grants read access to the relevant AWS accounts only.
B. Modify the post_build command to remove --acl authenticated-read and configure a bucket policy that allows read access to the relevant AWS accounts only.
C. Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.
D. Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal "*".

正解：B

解説：
When setting the flag authenticated-read in the command line, the owner gets FULL_CONTROL. The AuthenticatedUsers group (Anyone with an AWS account) gets READ access.Reference:https://docs.aws.
amazon.com/AmazonS3/latest/userguide/acl-overview.html

質問 # 422
A company has deployed an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 node groups. The company ' s DevOps team uses the Kubernetes Horizontal Pod Autoscaler and recently installed a supported EKS cluster Autoscaler.
The DevOps team needs to implement a solution to collect metrics and logs of the EKS cluster to establish a baseline for performance. The DevOps team will create an initial set of thresholds for specific metrics and will update the thresholds over time as the cluster is used. The DevOps team must receive an Amazon Simple Notification Service (Amazon SNS) email notification if the initial set of thresholds is exceeded or if the EKS cluster Autoscaler is not functioning properly.
The solution must collect cluster, node, and pod metrics. The solution also must capture logs in Amazon CloudWatch.
Which combination of steps should the DevOps team take to meet these requirements? (Select THREE.)

A. Create a CloudWatch alarm to monitor the logs of the Autoscaler deployments for errors. Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.
B. Create a CloudWatch composite alarm to monitor a metric log filter of the CPU, memory, and node metrics of the cluster. Configure the alarm to send an SNS email notification to the DevOps team when anomalies are detected.
C. Create a CloudWatch alarm to monitor a metric log filter of the Autoscaler deployments for errors.Configure the alarm to send an SNS email notification to the DevOps team if thresholds are exceeded.
D. Deploy AWS Distro for OpenTelemetry to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.
E. Create CloudWatch alarms to monitor the CPU, memory, and node failure metrics of the cluster.
Configure the alarms to send an SNS email notification to the DevOps team if thresholds are exceeded.
F. Deploy the CloudWatch agent and Fluent Bit to the cluster. Ensure that the EKS cluster has appropriate permissions to send metrics and logs to CloudWatch.

正解：C、E、F

解説：
Deploy CloudWatch Agent + Fluent Bit (supported by Amazon EKS integration) to forward metrics and logs.
Create CloudWatch Alarms for CPU/memory/node metrics and metric log filters for Autoscaler logs, triggering SNS notifications when anomalies occur. This pattern matches AWS guidance on "Monitoring EKS clusters with CloudWatch Container Insights and alarms."

質問 # 423
A company wants to use AWS CloudFormation for infrastructure deployment. The company has strict tagging and resource requirements and wants to limit the deployment to two Regions. Developers will need to deploy multiple versions of the same application.
Which solution ensures resources are deployed in accordance with company policy?

A. Create CloudFormation StackSets with approved CloudFormation templates.
B. Create AWS Service Catalog products with approved CloudFormation templates.
C. Create AWS Trusted Advisor checks to find and remediate unapproved CloudFormation StackSets.
D. Create a Cloud Formation drift detection operation to find and remediate unapproved CloudFormation StackSets.

正解：B

解説：
Explanation
service catalog uses stacksets and can enforce tag and restrict resources AWS Customer case with tag enforcement
https://aws.amazon.com/ko/blogs/apn/enforce-centralized-tag-compliance-using-aws-service-catalog-amazon-dy And Youtube video showing how to restrict resources per user with portfolio
https://www.youtube.com/watch?v=LzvhTcqqyog

質問 # 424
A DevOps engineer wants to find a solution to migrate an application from on premises to AWS The application is running on Linux and needs to run on specific versions of Apache Tomcat HAProxy and Varnish Cache to function properly. The application's operating system-level parameters require tuning The solution must include a way to automate the deployment of new application versions. The infrastructure should be scalable and faulty servers should be replaced automatically.
Which solution should the DevOps engineer use?

A. Upload the application code to an AWS CodeCommit repository with an appspec.yml file to configure and install the necessary software. Create an AWS CodeDeploy deployment group associated with an Amazon EC2 Auto Scaling group Create an AWS CodePipeline pipeline that uses CodeCommit as a source and CodeDeploy as a deployment provider
B. Upload the application code to an AWS CodeCommit repository with a set of ebextensions files to configure and install the software. Create an AWS Elastic Beanstalk worker tier environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider
C. Upload the application code to an AWS CodeCommit repository with a saved configuration file to configure and install the software Create an AWS Elastic Beanstalk web server tier and a load balanced-type environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider
D. Upload the application as a Docker image that contains all the necessary software to Amazon ECR Create an Amazon ECS cluster using an AWS Fargate launch type and an Auto Scaling group. Create an AWS CodePipeline pipeline that uses Amazon ECR as a source and Amazon ECS as a deployment provider

正解：A

解説：
The correct answer is D. The scenario requires a solution that can migrate an application from on premises to AWS, run on specific versions of Apache Tomcat, HAProxy, and Varnish Cache, tune the operating system-level parameters, automate the deployment of new application versions, and scale and replace faulty servers automatically. Option D meets all these requirements by using AWS CodeCommit, AWS CodeDeploy, AWS CodePipeline, and Amazon EC2 Auto Scaling. AWS CodeCommit is a fully managed source control service that hosts Git repositories and works with Git-based tools. AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services, including Amazon EC2, AWS Fargate, AWS Lambda, and on-premises servers. AWS CodePipeline is a fully managed continuous delivery service that helps automate the release pipelines for fast and reliable application updates. Amazon EC2 Auto Scaling helps maintain application availability and allows scaling of Amazon EC2 capacity up or down automatically according to the defined conditions. By using these services together, the DevOps engineer can migrate the application code to AWS, configure and install the necessary software using the appspec.yml file, automate the deployment process using the pipeline, and scale and replace the servers using the Auto Scaling group.
Option A is incorrect because AWS Fargate is a serverless compute engine for containers that works with Amazon ECS and Amazon EKS. Fargate removes the need to provision and manage servers, but it also limits the ability to tune the operating system-level parameters, which is a requirement in the scenario. Moreover, Fargate does not support HAProxy and Varnish Cache as sidecar containers, which are needed to run the application properly.
Option B is incorrect because AWS Elastic Beanstalk is a fully managed service that automates the deployment and scaling of web applications and services using familiar servers such as Apache, Nginx, Passenger, and IIS. However, Elastic Beanstalk does not support HAProxy and Varnish Cache as part of the Tomcat solution stack, which are needed to run the application properly. Moreover, Elastic Beanstalk web server tier environments are designed to serve HTTP requests, not to process background tasks, which is the purpose of worker tier environments.
Option C is incorrect because AWS Elastic Beanstalk worker tier environments are designed to process background tasks using a daemon process that runs on each Amazon EC2 instance in the environment. Worker tier environments are not suitable for running web applications that serve HTTP requests, which is the case in the scenario. Moreover, Elastic Beanstalk does not support HAProxy and Varnish Cache as part of the Tomcat solution stack, which are needed to run the application properly.
:
AWS CodeCommit
AWS CodeDeploy
AWS CodePipeline
Amazon EC2 Auto Scaling
AWS Fargate
AWS Elastic Beanstalk

質問 # 425
......

弊社のDOP-C02練習資料は、さまざまな学位の受験者に適しています。この受験者は、この分野の知識のレベルに関係なく互換性があります。これらのAWS Certified DevOps Engineer - Professionalトレーニング資料は、当社にとって名誉あるものであり、お客様の目標を達成するための最大の特権として扱っています。一方、理論と実践を離婚することはできませんが、心配する必要はありません。刺激テストの質問があり、学習と実践の両方を同時に行うことができます。私たちの知る限り、DOP-C02試験準備は何百万人もの受験者に夢を追いかけ、より効率的に学習するように動機付けました。 DOP-C02の練習資料は、あなたを失望させません。

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