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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
Configuration Management and Infrastructure as Code	17%	- Infrastructure provisioning and automation 1. AWS CloudFormation and CDK usage 2. Configuration tools and automation strategies
Incident and Event Management	18%	- Operational response and recovery 1. Automated event-driven responses 2. Incident detection and remediation
Monitoring and Logging	15%	- Observability and metrics 1. CloudWatch monitoring and alarms 2. Log aggregation and analysis
Security and Compliance Automation	13%	- Security automation in CI/CD and infrastructure 1. Compliance monitoring and auditing 2. IAM policy automation and governance

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q137-Q142):

質問 # 137
A company is migrating its product development teams from an on-premises data center to a hybrid environment. The new environment will add four AWS Regions and will give the developers the ability to use the Region that is geographically closest to them.
All the development teams use a shared set of Linux applications. The on-premises data center stores the applications on a NetApp ONTAP storage device. The storage volume is mounted read-only on the development on-premises VMs. The company updates the applications on the shared volume once a week.
A DevOps engineer needs to replicate the data to all the new Regions. The DevOps engineer must ensure that the data is always up to date with deduplication. The data also must not be dependent on the availability of the on-premises storage device.
Which solution will meet these requirements?

A. Create Multi-AZ Amazon FSx for NetApp ONTAP instances and volumes in each Region. Configure a scheduled SnapMirror relationship between the on-premises storage device and the FSx for ONTAP instances.
B. Create an Amazon FSx File Gateway in one Region. Create file servers in Amazon FSx for Windows File Server in each Region. Set up a cron job to copy the data from the storage device to the FSx File Gateway.
C. Create an Amazon Elastic File System (Amazon EFS) file system in each Region. Deploy an AWS DataSync agent in the on-premises data center. Configure a schedule for DataSync to copy the data to Amazon EFS daily.
D. Create an Amazon S3 File Gateway in the on-premises data center. Create S3 buckets in each Region.
Set up a cron job to copy the data from the storage device to the S3 File Gateway. Set up S3 Cross- Region Replication (CRR) to the S3 buckets in each Region.

正解：A

解説：
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
Amazon FSx for NetApp ONTAP provides NetApp ONTAP features in AWS, including SnapMirror replication and storage efficiencies like deduplication and compression. Create FSx for ONTAP in each Region and use SnapMirror from on-prem ONTAP to each Region for efficient, incremental replication.
Regions can serve data independently of on-prem availability once replicated.

質問 # 138
A DevOps engineer at a company is migrating a statistical analysis application to AWS. The application allows data scientists to model demographic data by using RStudio. The DevOps engineer will host modeling environments for the application in Amazon Elastic Kubernetes Service (Amazon EKS). The DevOps engineer will use Amazon FSx for Lustre and Amazon S3 to provide backend storage.
The DevOps engineer must design and build an infrastructure as code (IaC) solution to manage the underlying resource configurations. The company uses an organization in AWS Organizations to manage multiple AWS accounts. The DevOps engineer must design a highly portable solution that can facilitate sharing across AWS member accounts.
Which solution will meet these requirements with the LEAST administrative overhead?

A. Use AWS CloudFormation to manage the infrastructure. Use CloudFormation modules to manage the required services. Publish the services to the CloudFormation registry. Use AWS CodePipeline to automate the deployment and stack updates in production.
B. Use the AWS Cloud Development Kit (AWS CDK) to deploy and manage the infrastructure. Store the CDK source code in the project's version control system. Use AWS CodePipeline to automate the deployment and stack updates in production.
C. Use AWS CloudFormation to manage the infrastructure. Use CloudFormation nested stacks to manage the required services. Store the nested stacks in the project's version control system. Use AWS CodePipeline to automate the deployment and stack updates in production.
D. Use AWS Serverless Application Model (AWS SAM) to manage the infrastructure. Create an AWS Service Catalog portfolio for the project. Build an AWS SAM template that deploys each required service as a product within the catalog. Share the portfolio and grant access to the portfolio for member accounts.

正解：A

解説：
CloudFormation modules are the best fit because the requirement is reusable, portable infrastructure configuration that can be shared across multiple AWS member accounts with low administrative overhead.
AWS describes CloudFormation modules as reusable resource configurations that can be included across stack templates in a repeatable and manageable way. This is stronger than nested stacks because modules are designed as standardized building blocks and can be published and versioned through the CloudFormation registry. CDK is powerful, but option A only stores source code and does not provide a registry-based sharing mechanism. AWS SAM is focused on serverless applications and is not the cleanest fit for EKS, FSx for Lustre, and S3 infrastructure patterns.

質問 # 139
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS for Oracle DB instance and Amazon DynamoDB.
There are separate environments tor development testing and production.
What is the MOST secure and flexible way to obtain password credentials during deployment?

A. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.
B. Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.
C. Launch the EC2 instances with an EC2 1AM role to access AWS services Store the database passwords in an encrypted config file with the application artifacts.
D. Retrieve an access key from an AWS Systems Manager securestring parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.

正解：B

解説：
AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Using Secrets Manager, you can secure and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises. SSM parameter store and AWS Secret manager are both a secure option. However, Secrets manager is more flexible and has more options like password generation. Reference: https://www.1strategy.com/blog/2019/02
/28/aws-parameter-store-vs-aws-secrets-manager/

質問 # 140
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS for Oracle DB instance and Amazon DynamoDB.
There are separate environments tor development testing and production.
What is the MOST secure and flexible way to obtain password credentials during deployment?

A. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.
B. Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.
C. Launch the EC2 instances with an EC2 1AM role to access AWS services Store the database passwords in an encrypted config file with the application artifacts.
D. Retrieve an access key from an AWS Systems Manager securestring parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.

正解：B

解説：
Explanation
AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Using Secrets Manager, you can secure and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises. SSM parameter store and AWS Secret manager are both a secure option. However, Secrets manager is more flexible and has more options like password generation. Reference:
https://www.1strategy.com/blog/2019/02/28/aws-parameter-store-vs-aws-secrets-manager/

質問 # 141
A company is developing a microservices-based application on AWS. The application consists of AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) services that need to be deployed frequently.
A DevOps engineer needs to implement a consistent deployment solution across all components of the application. The solution must automate the deployments, minimize downtime during updates, and manage configuration data for the application.
Which solution will meet these requirements with the LEAST deployment effort?

A. Use AWS CodeDeploy to manage deployments for the Lambda functions and ECS services. Implement canary deployments for the Lambda functions. Implement blue/green deployments for the ECS services. Use AWS Systems Manager Parameter Store to manage the configuration data.
B. Use AWS Systems Manager to manage deployments for the Lambda functions and ECS services. Implement all-at-once deployments for the Lambda functions. Implement rolling updates for the ECS services. Use AWS Secrets Manager to manage the configuration data.
C. Use AWS Step Functions to orchestrate deployments for the Lambda functions and ECS services. Use canary deployments for the Lambda functions and ECS services in a different AWS Region. Use AWS Systems Manager Parameter Store to manage the configuration data.
D. Use AWS CloudFormation to define and provision the Lambda functions and ECS services. Implement stack updates with resource replacement for all components. Use AWS Secrets Manager to manage the configuration data.

正解：A

解説：
Comprehensive and Detailed Explanation From Exact Extract:
AWS CodeDeploy supports deployment of both Lambda functions and ECS services with native integration.
It provides deployment strategies such as canary deployments for Lambda and blue/green deployments for ECS, which minimize downtime and risk.
CodeDeploy automates the deployment process, which reduces manual effort and improves consistency.
AWS Systems Manager Parameter Store is a simple, managed solution for storing configuration data securely and at scale.
Option A uses CloudFormation stack updates with resource replacement, which can cause downtime and is less flexible for minimizing downtime compared to CodeDeploy's deployment strategies.
Option C adds unnecessary orchestration complexity with Step Functions and cross-region deployments, increasing deployment effort.
Option D's all-at-once deployments for Lambda and rolling updates for ECS do not minimize downtime as effectively as canary and blue/green strategies.
Hence, option B meets the requirement with the least deployment effort and maximizes automation and availability.
Reference from AWS Official Documentation:
Deploying Lambda Functions with CodeDeploy:
"AWS CodeDeploy supports canary and linear deployment strategies for AWS Lambda functions to reduce deployment risk." (CodeDeploy Lambda Deployment) Deploying ECS Services with CodeDeploy Blue/Green:
"CodeDeploy supports blue/green deployments for ECS to minimize downtime during service updates." (CodeDeploy ECS Blue/Green) AWS Systems Manager Parameter Store:
"Parameter Store provides secure, hierarchical storage for configuration data management." (Systems Manager Parameter Store)

質問 # 142
......

試験に合格することは、Amazon試験問題と試験スキルの知識に基づいています。 DOP-C02トレーニングクイズには、目的を同時に達成できる豊富なコンテンツがあります。レビューでは、高効率のAWS Certified DevOps Engineer - Professional実践教材が重要な役割を果たすことがわかっています。弊社の専門家も最新のコンテンツを収集し、試験のトレンドがどこに向かっているのか、実際にAWS Certified DevOps Engineer - Professional試験したいものを調査しています。シラバスと新しいトレンドを分析することで、DOP-C02練習エンジンは、参考のためにこの試験に完全に一致しています。したがって、Fast2testこの機会に取り組んでください。私たちの練習資料はあなたを失望させません。

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