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Amazon DOP-C02認定試験の受験資格には、AWSサービスを2年以上使用し、DevOpsプラクティスを1年以上使用した経験が最低限必要です。さらに、候補者はAWS Certified Developer - AssociateまたはAWS Certified SysOps Administrator - Associateの認定を持っている必要があります。

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q432-Q437):

質問 # 432
A company is migrating its web application to AWS. The application uses WebSocket connections for real- time updates and requires sticky sessions.
A DevOps engineer must implement a highly available architecture for the application. The application must be accessible to users worldwide with the least possible latency.
Which solution will meet these requirements with the LEAST operational overhead?

A. Deploy an Application Load Balancer (ALB). Deploy another ALB in a different AWS Region. Enable cross-zone load balancing and sticky sessions on the ALBs. Integrate the ALBs with Amazon Route 53 latency-based routing.
B. Deploy a Network Load Balancer (NLB) with cross-zone load balancing enabled. Configure the NLB with IP-based targets in multiple Availability Zones. Use Amazon CloudFront for global content delivery. Implement sticky sessions by using source IP address preservation on the NLB.
C. Deploy an Application Load Balancer (ALB) for HTTP traffic. Deploy a Network Load Balancer (NLB) in each of the company ' s AWS Regions for WebSocket connections. Enable sticky sessions on the ALB. Configure the ALB to forward requests to the NLB.
D. Deploy a Network Load Balancer (NLB). Deploy another NLB in a different AWS Region. Enable cross-zone load balancing and sticky sessions on the NLBs. Integrate the NLBs with Amazon Route 53 geolocation routing.

正解：A

解説：
ALB natively supports WebSocket protocols and sticky sessions via target group session affinity. Deploying ALBs in multiple regions with cross-zone load balancing ensures high availability and fault tolerance.
Using Route 53 latency-based routing allows users worldwide to connect to the lowest latency region, minimizing delay.
NLBs do not support sticky sessions and WebSocket protocol as well as ALBs do. Combining ALBs and NLBs (Option D) increases complexity. CloudFront (Option C) does not natively support WebSocket sticky sessions.
Option A is the simplest, most effective solution meeting all requirements with least operational overhead.
References:
ALB WebSocket Support
Route 53 Latency Based Routing

質問 # 433
A company has an application that is using a MySQL-compatible Amazon Aurora Multi-AZ DB cluster as the database. A cross-Region read replica has been created for disaster recovery purposes. A DevOps engineer wants to automate the promotion of the replica so it becomes the primary database instance in the event of a failure.
Which solution will accomplish this?

A. Create an AWS Lambda function to modify the application's AWS CloudFormation template to promote the replica, apply the template to update the stack, and point the application to the newly promoted instance. Create an Amazon CloudWatch alarm to invoke this Lambda function after the failure event occurs.
B. Store the Aurora endpoint in AWS Systems Manager Parameter Store. Create an Amazon EventBridge event that detects the database failure and runs an AWS Lambda function to promote the replica instance and update the endpoint URL stored in AWS Systems Manager Parameter Store. Code the application to reload the endpoint from Parameter Store if a database connection fails.
C. Configure a latency-based Amazon Route 53 CNAME with health checks so it points to both the primary and replica endpoints. Subscribe an Amazon SNS topic to Amazon RDS failure notifications from AWS CloudTrail and use that topic to invoke an AWS Lambda function that will promote the replica instance as the primary.
D. Create an Aurora custom endpoint to point to the primary database instance. Configure the application to use this endpoint. Configure AWS CloudTrail to run an AWS Lambda function to promote the replica instance and modify the custom endpoint to point to the newly promoted instance.

正解：B

解説：
EventBridge is needed to detect the database failure. Lambda is needed to promote the replica as it's in another Region (manual promotion, otherwise). Storing and updating the endpoint in Parameter store is important in updating the application. Look at High Availability section of Aurora FAQ:https://aws.amazon.
com/rds/aurora/faqs/

質問 # 434
A DevOps engineer has created an AWS CloudFormation template that deploys an application on Amazon EC2 instances The EC2 instances run Amazon Linux The application is deployed to the EC2 instances by using shell scripts that contain user dat a. The EC2 instances have an 1AM instance profile that has an 1AM role with the AmazonSSMManagedlnstanceCore managed policy attached The DevOps engineer has modified the user data in the CloudFormation template to install a new version of the application. The engineer has also applied the stack update. However, the application was not updated on the running EC2 instances. The engineer needs to ensure that the changes to the application are installed on the running EC2 instances.
Which combination of steps will meet these requirements? (Select TWO.)

A. Configure the user data content to use the Multipurpose Internet Mail Extensions (MIME) multipart format. Set the scripts-user parameter to always in the text/cloud-config section.
B. Refactor the user data commands to use the cfn-init helper script. Update the user data to install and configure the cfn-hup and cfn-mit helper scripts to monitor and apply the metadata changes
C. Refactor the user data commands to use an AWS Systems Manager document (SSM document). Add an AWS CLI command in the user data to use Systems Manager Run Command to apply the SSM document to the EC2 instances
D. Refactor the user data command to use an AWS Systems Manager document (SSM document) Use Systems Manager State Manager to create an association between the SSM document and the EC2 instances.
E. Configure an EC2 launch template for the EC2 instances. Create a new EC2 Auto Scaling group. Associate the Auto Scaling group with the EC2 launch template Use the AutoScalingScheduledAction update policy for the Auto Scaling group.

正解：B、D

解説：
Refactor User Data to Use cfn-init and cfn-hup:
cfn-init helps to bootstrap the instance, installing packages and starting services.
cfn-hup is a daemon that can monitor metadata changes and re-apply configurations when necessary.
Example user data script with cfn-init:
#!/bin/bash
yum update -y
yum install -y aws-cfn-bootstrap
/opt/aws/bin/cfn-init -v --stack ${AWS::StackName} --resource WebServer --region ${AWS::Region}
/opt/aws/bin/cfn-hup
Use Systems Manager State Manager:
State Manager can automatically apply an AWS Systems Manager document to instances at regular intervals, ensuring configurations are kept up-to-date.
Steps:
Create an SSM document that installs and configures your application.
Use State Manager to associate this document with your EC2 instances.
Example SSM document:
{
"schemaVersion": "2.2",
"description": "Install My Application",
"mainSteps": [
{
"action": "aws:runShellScript",
"name": "installApplication",
"inputs": {
"runCommand": [
"yum install -y my-application"
]
}
}
]
}
Create State Manager association:
aws ssm create-association --name "InstallMyApplication" --instance-id <instance-id> --document-version "$LATEST" References:
Using cfn-init and cfn-hup
AWS Systems Manager State Manager

質問 # 435
A company is using AWS CodePipeline to automate its release pipeline. AWS CodeDeploy is being used in the pipeline to deploy an application to Amazon Elastic Container Service (Amazon ECS) using the blue
/green deployment model. The company wants to implement scripts to test the green version of the application before shifting traffic. These scripts will complete in 5 minutes or less. If errors are discovered during these tests, the application must be rolled back.
Which strategy will meet these requirements?

A. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create a runtime environment and build commands in the buildspec file to invoke test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.
B. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test scripts. If errors are found, use the aws deploy stop-deployment CLI command to stop the deployment.
C. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to initiate rollback.
D. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to invoke an AWS Lambda function that will run the test scripts. If errors are found, use the aws deploy stop- deployment command to stop the deployment.

正解：C

解説：
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html

質問 # 436
A company uses AWS Organizations and AWS Control Tower to manage all the company's AWS accounts.
The company uses the Enterprise Support plan.
A DevOps engineer is using Account Factory for Terraform (AFT) to provision new accounts. When new accounts are provisioned, the DevOps engineer notices that the support plan for the new accounts is set to the Basic Support plan. The DevOps engineer needs to implement a solution to provision the new accounts with the Enterprise Support plan.
Which solution will meet these requirements?

A. Create an AWS Lambda function to create a ticket for AWS Support to add the account to the Enterprise Support plan. Grant the Lambda function the support:ResolveCase permission.
B. Use an AWS Config conformance pack to deploy the account-part-of-organizations AWS Config rule and to automatically remediate any noncompliant accounts.
C. Add an additional value to the control_tower_parameters input to set the AWSEnterpriseSupport parameter as the organization's management account number.
D. Set the aft_feature_enterprise_support feature flag to True in the AFT deployment input configuration.Redeploy AFT and apply the changes.

正解：D

解説：
Explanation
AWS Organizations is a service that helps to manage multiple AWS accounts. AWS Control Tower is a service that makes it easy to set up and govern secure, compliant multi-account AWS environments. Account Factory for Terraform (AFT) is an AWS Control Tower feature that provisions new accounts using Terraform templates. To provision new accounts with the Enterprise Support plan, the DevOps engineer can set the aft_feature_enterprise_support feature flag to True in the AFT deployment input configuration. This flag enables the Enterprise Support plan for newly provisioned accounts.
https://docs.aws.amazon.com/controltower/latest/userguide/aft-feature-options.html

質問 # 437
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