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Amazon DOP-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
- 1. Implement tagging policies and resource grouping
- 2. Design cost optimization through policies
- 3. Implement approval workflows and automation
- 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
|
| SDLC Automation | 22% | - Design and implement CI/CD pipelines
- 1. Implement deployment strategies (blue-green, canary, rolling)
- 2. Design failure handling strategies
- 3. Determine appropriate CI/CD pipeline architecture
- 4. Develop CI/CD pipelines considering testing and security requirements
- Design build and test environments
- 1. Integrate security scanning and compliance checks
- 2. Implement build environments (isolated, reproducible)
- 3. Design test automation frameworks
- Design and implement source code management strategies
- 1. Implement repository configurations and hooks
- 2. Determine branching strategies
- 3. Design code review and approval processes
|
| High Availability and Disaster Recovery | 16% | - Design and implement disaster recovery strategies
- 1. Implement multi-region active-active architectures
- 2. Implement pilot light and warm standby architectures
- 3. Design RTO and RPO based DR solutions
- 4. Implement backup and restore mechanisms
- Implement data backup and restore strategies
- 1. Design point-in-time recovery solutions
- 2. Implement validation testing for backups
- 3. Implement cross-region replication
- Design and implement high availability and scalability
- 1. Implement auto scaling strategies
- 2. Implement load balancing and traffic management
- 3. Design multi-AZ and multi-region architectures
|
| Incident and Event Response | 18% | - Design and implement event and incident management
- 1. Design event aggregation and correlation
- 2. Implement automated incident detection
- 3. Implement automated response playbooks
- Design and implement chaos engineering practices
- 1. Implement fault injection experiments (AWS Fault Injection Simulator)
- 2. Analyze system behavior under failure conditions
- 3. Design resilience testing strategies
|
| Monitoring and Logging | 12% | - Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Design runbook automation
- 3. Create alarm notification strategies
- Design and implement monitoring and observability strategies
- 1. Design custom metrics and alarms (Amazon CloudWatch)
- 2. Implement log aggregation and analysis
- 3. Implement distributed tracing (AWS X-Ray)
|
| Configuration Management and Infrastructure as Code | 22% | - Implement compliance and configuration monitoring
- 1. Design remediation automation
- 2. Implement AWS CloudTrail for auditing
- 3. Use AWS Config for compliance monitoring
- Design and implement data management strategies
- 1. Implement data lifecycle management
- 2. Design backup and recovery solutions
- 3. Implement database migration strategies
- Design and implement configuration management
- 1. Implement AWS Systems Manager for configuration management
- 2. Implement parameter management (AWS Parameter Store, Secrets Manager)
- 3. Design patch management strategies
- Design and implement infrastructure as code
- 1. Implement modular and reusable infrastructure components
- 2. Design for scalability and repeatability
- 3. Develop IaC templates (AWS CloudFormation, Terraform)
|
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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q50-Q55):
質問 # 50
A company has an on-premises application that is written in Go. A DevOps engineer must move the application to AWS. The company's development team wants to enable blue/green deployments and perform A/B testing.
Which solution will meet these requirements?
- A. Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.
- B. Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.
- C. Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.
- D. Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.
正解:D
解説:
Explanation
https://aws.amazon.com/quickstart/architecture/blue-green-deployment/
質問 # 51
A company manages a multi-tenant environment in its VPC and has configured Amazon GuardDuty for the corresponding AWS account. The company sends all GuardDuty findings to AWS Security Hub.
Traffic from suspicious sources is generating a large number of findings. A DevOps engineer needs to implement a solution to automatically deny traffic across the entire VPC when GuardDuty discovers a new suspicious source.
Which solution will meet these requirements?
- A. Create an AWS Lambda function that will create a GuardDuty suppression rule. Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty.
- B. Configure a firewall in AWS Network Firewall. Create an AWS Lambda function that will create a Drop action rule in the firewall policy Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty
- C. Create a GuardDuty threat list. Configure GuardDuty to reference the list. Create an AWS Lambda function that will update the threat list Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty.
- D. Configure an AWS WAF web ACL that includes a custom rule group. Create an AWS Lambda function that will create a block rule in the custom rule group Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty
正解:B
解説:
Explanation
https://aws.amazon.com/blogs/security/automatically-block-suspicious-traffic-with-aws-network-firewall-and-am
質問 # 52
A DevOps engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with codeDeployDefault.oneAtATime During an ongoing new deployment, the engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision What is likely causing this issue?
- A. The two affected instances failed to fetch the new deployment.
- B. The CodeDeploy agent was not installed in two affected instances.
- C. A failed Afterinstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances
- D. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
正解:C
解説:
When AWS CodeDeploy performs an in-place deployment, it updates the instances with the new application revision one at a time, as specified by the deployment configuration codeDeployDefault.oneAtATime. If a lifecycle event hook, such as AfterInstall, fails during the deployment, CodeDeploy will attempt to roll back to the previous version on the affected instances. This is likely what happened with the two instances that still have the previous application revision deployed. The failure of the AfterInstall lifecycle event hook triggered the rollback mechanism, resulting in those instances reverting to the previous application revision.
Reference:
AWS CodeDeploy documentation on redeployment and rollback procedures1.
Stack Overflow discussions on re-deploying older revisions with AWS CodeDeploy2.
AWS CLI reference guide for deploying a revision2.
質問 # 53
A Company uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the main branch when the changes are ready for production.
The developers should not be able to push changes directly to the main branch. The company applied the AWSCodeCommitPowerUser managed policy to the developers' IAM role, and now these developers can push changes to the main branch directly on every repository in the AWS account.
What should the company do to restrict the developers' ability to push changes to the main branch directly?
- A. Remove the IAM policy, and add an AWSCodeCommitReadOnly managed policy. Add an Allow rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the mam branch.
- B. Create an additional policy to include an Allow rule for the GitPush and PutFile actions. Include a restriction for the specific repositories in the policy statement with a condition that references the feature branches.
- C. Modify the IAM policy Include a Deny rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the main branch.
- D. Create an additional policy to include a Deny rule for the GitPush and PutFile actions. Include a restriction for the specific restriction for the specific repositories in the policy repositories in the policy statement with a condition that references the main branch.A Create an additional policy to include a Deny rule for the GitPush and PutFile actions Include a restriction for the specific repositories in the policy statement with a condition that references the main branch
正解:D
解説:
By default, the AWSCodeCommitPowerUser managed policy allows users to push changes to any branch in any repository in the AWS account. To restrict the developers' ability to push changes to the main branch directly, an additional policy is needed that explicitly denies these actions for the main branch.
The Deny rule should be included in a policy statement that targets the specific repositories and includes a condition that references the main branch. The policy statement should look something like this:
{
"Effect": "Deny",
"Action": [
"codecommit:GitPush",
"codecommit:PutFile"
],
"Resource": "arn:aws:codecommit:<region>:<account-id>:<repository-name>",
"Condition": {
"StringEqualsIfExists": {
"codecommit:References": [
"refs/heads/main"
]
}
}
質問 # 54
A company uses an organization in AWS Organizations that has all features enabled. The company uses AWS Backup in a primary account and uses an AWS Key Management Service (AWS KMS) key to encrypt the backups.
The company needs to automate a cross-account backup of the resources that AWS Backup backs up in the primary account. The company configures cross-account backup in the Organizations management account.
The company creates a new AWS account in the organization and configures an AWS Backup backup vault in the new account. The company creates a KMS key in the new account to encrypt the backups. Finally, the company configures a new backup plan in the primary account. The destination for the new backup plan is the backup vault in the new account.
When the AWS Backup job in the primary account is invoked, the job creates backups in the primary account.
However, the backups are not copied to the new account's backup vault.
Which combination of steps must the company take so that backups can be copied to the new account's backup vault? (Select TWO.)
- A. Edit the backup vault access policy in the primary account to allow access to the new account.
- B. Edit the backup vault access policy in the new account to allow access to the primary account.
- C. Edit the key policy of the KMS key in the new account to share the key with the primary account.
- D. Edit the key policy of the KMS key in the primary account to share the key with the new account.
- E. Edit the backup vault access policy in the primary account to allow access to the KMS key in the new account.
正解:B、C
解説:
Explanation
To enable cross-account backup, the company needs to grant permissions to both the backup vault and the KMS key in the destination account. The backup vault access policy in the destination account must allow the primary account to copy backups into the vault. The key policy of the KMS key in the destination account must allow the primary account to use the key to encrypt and decrypt the backups. These steps are described in the AWS documentation12. Therefore, the correct answer is A and E.
References:
1: Creating backup copies across AWS accounts - AWS Backup
2: Using AWS Backup with AWS Organizations - AWS Backup
質問 # 55
......
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