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Amazon DOP-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Security, Governance, and Compliance | 17% | - Implement security controls
- 1. Secure secrets and credentials
- 2. Manage IAM for pipelines and environments
- 3. Encrypt data at rest and in transit
- Automate security and compliance
- 1. Use AWS Security Hub and AWS Shield
- 2. Detect and remediate violations automatically
- 3. Integrate security into CI/CD pipelines
- Enforce governance and compliance
- 1. Implement compliance rules and audits
- 2. Use AWS Config and AWS Organizations
- 3. Manage access and permissions at scale
|
| SDLC Automation | 22% | - Automate software release processes
- 1. Automate rollback procedures
- 2. Implement deployment strategies
- 3. Manage artifacts and dependencies
- Automate testing and validation
- 1. Security and compliance testing
- 2. Automate quality gates
- 3. Unit, integration, and performance testing
- Implement CI/CD pipelines
- 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 2. Integrate version control systems
- 3. Automate build, test, and deployment stages
|
| Configuration Management and Infrastructure as Code | 17% | - Manage infrastructure deployments
- 1. Manage multi-account and multi-region environments
- 2. Implement version control for configurations
- 3. Provision and update resources automatically
- Automate configuration management
- 1. Use AWS Systems Manager, Ansible, or Puppet
- 2. Maintain consistent configurations
- 3. Detect and remediate configuration drift
- Implement infrastructure as code
- 1. Use AWS CloudFormation, Terraform, or AWS CDK
- 2. Manage templates and stacks
- 3. Enforce configuration standards
|
| Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Centralize logs with CloudWatch Logs
- 2. Use AWS X-Ray for tracing
- 3. Analyze logs for troubleshooting and security
- Automate incident response
- 1. Set up event-driven actions with Amazon EventBridge
- 2. Implement alerting and notification workflows
- 3. Automate remediation and scaling
- Implement monitoring solutions
- 1. Use Amazon CloudWatch for metrics and alarms
- 2. Create dashboards and insights
- 3. Monitor infrastructure, applications, and costs
|
| Resilient Cloud Solutions | 15% | - Implement disaster recovery
- 1. Backup and restore strategies
- 2. Pilot light, warm standby, and active-active
- 3. Test and validate recovery plans
- Ensure reliability and scalability
- 1. Manage capacity and elasticity
- 2. Design for fault tolerance
- 3. Optimize performance and cost
- Design high availability architectures
- 1. Multi-AZ and multi-region deployments
- 2. Use Route 53 for routing and failover
- 3. Implement auto scaling and load balancing
|
| Incident and Event Response | 14% | - Improve operational processes
- 1. Optimize response time and efficiency
- 2. Update runbooks and playbooks
- 3. Implement feedback loops
- Automate event management
- 1. Automate common operational tasks
- 2. Classify and prioritize events
- 3. Integrate with ticketing and workflow systems
- Manage incidents and outages
- 1. Document and learn from events
- 2. Coordinate response and recovery
- 3. Troubleshoot complex issues
|
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試験の準備方法-認定するDOP-C02日本語サンプル試験-検証するDOP-C02テストトレーニング
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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q276-Q281):
質問 # 276
A company uses an Amazon Aurora PostgreSQL global database that has two secondary AWS Regions. A DevOps engineer has configured the database parameter group to guarantee an RPO of 60 seconds. Write operations on the primary cluster are occasionally blocked because of the RPO setting.
The DevOps engineer needs to reduce the frequency of blocked write operations.
Which solution will meet these requirements?
- A. Configure synchronous replication for the global database.
- B. Enable write forwarding for the global database.
- C. Add an additional secondary cluster to the global database.
- D. Remove one of the secondary clusters from the global database.
正解:D
解説:
Step 1: Reducing Replication Lag in Aurora Global DatabasesIn Amazon Aurora global databases, write operations on the primary cluster can be delayed due to the time it takes to replicate to secondary clusters, especially when there are multiple secondary regions involved.
Issue: The write operations are occasionally blocked due to the RPO setting, which guarantees replication within 60 seconds.
Action: Remove one of the secondary clusters from the global database.
Why: Fewer secondary clusters will reduce the overall replication lag, improving write performance and reducing the frequency of blocked writes.
Reference: AWS documentation on Aurora Global Database.
This corresponds to Option C: Remove one of the secondary clusters from the global database.
質問 # 277
A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?
- A. Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
- B. Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events.
Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard. - C. Create a trail by using AWS CloudTrail with management events configured. Configure the trail to send the management events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
- D. Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events (rom the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.
正解:B
解説:
* Step 1: Reacting to RDS Storage Autoscaling Events Using Amazon EventBridgeAmazon RDS emits events when storage autoscaling occurs. To visualize these events in a CloudWatch dashboard, you can create an EventBridge rule that listens for these specific autoscaling events.
* Action:Create an EventBridge rule that reacts to RDS storage autoscaling events from the RDS event stream.
* Why:EventBridge allows you to listen to RDS events and route them to specific AWS services for processing.
* Step 2: Creating a Custom CloudWatch Metric via LambdaOnce the EventBridge rule detects a storage autoscaling event, you can use a Lambda function to publish a custom metric to CloudWatch.
This metric can then be visualized in a CloudWatch dashboard.
* Action:Use a Lambda function to publish custom metrics to CloudWatch based on the RDS storage autoscaling events.
* Why:Custom metrics allow you to track specific events like autoscaling and visualize them easily on a CloudWatch dashboard.
質問 # 278
A company deploys a web application on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The company stores the application code in an AWS CodeCommit repository. When code is merged to the main branch, an AWS Lambda function invokes an AWS CodeBuild project. The CodeBuild project packages the code, stores the packaged code in AWS CodeArtifact, and invokes AWS Systems Manager Run Command to deploy the packaged code to the EC2 instances.
Previous deployments have resulted in defects, EC2 instances that are not running the latest version of the packaged code, and inconsistencies between instances.
Which combination of actions should a DevOps engineer take to implement a more reliable deployment solution? (Select TWO.)
- A. Create an Amazon S3 bucket. Modify the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact. Use deploy actions in CodeDeploy to deploy the artifact to the EC2 instances.
- B. Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.
- C. Create individual Lambda functions that use AWS CodeDeploy instead of Systems Manager to run build, test, and deploy actions.
- D. Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Create separate pipeline stages that run a CodeBuild project to build and then test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.
- E. Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group.
正解:B、E
解説:
To implement a more reliable deployment solution, a DevOps engineer should take the following actions:
Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action. This action will improve the deployment reliability by automating the entire process from code commit to deployment, reducing human errors and inconsistencies. By running the build and test stages in parallel, the pipeline can also speed up the delivery time and provide faster feedback. By using CodeDeploy as the deployment action, the pipeline can leverage the features of CodeDeploy, such as traffic shifting, health checks, rollback, and deployment configuration123 Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group. This action will improve the deployment reliability by using CodeDeploy to orchestrate the deployment across multiple EC2 instances behind an ALB. CodeDeploy can perform blue/green deployments or in-place deployments with traffic shifting, which can minimize downtime and reduce risks. CodeDeploy can also monitor the health of the instances during and after the deployment, and automatically roll back if any issues are detected. By configuring the ALB for the deployment group, CodeDeploy can register and deregister instances from the load balancer as needed, ensuring that only healthy instances receive traffic45 The other options are not correct because they do not improve the deployment reliability or follow best practices. Creating separate pipeline stages that run a CodeBuild project to build and then test the application is not a good option because it will increase the pipeline execution time and delay the feedback loop. Creating individual Lambda functions that use CodeDeploy instead of Systems Manager to run build, test, and deploy actions is not a valid option because it will add unnecessary complexity and cost to the solution. Lambda functions are not designed for long-running tasks such as building or deploying applications. Creating an Amazon S3 bucket and modifying the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact is not a necessary option because it will not affect the deployment reliability. CodeArtifact is a secure, scalable, and cost-effective package management service that can store and share software packages for application development67
:
1: What is AWS CodePipeline? - AWS CodePipeline
2: Create a pipeline in AWS CodePipeline - AWS CodePipeline
3: Deploy an application with AWS CodeDeploy - AWS CodePipeline
4: What is AWS CodeDeploy? - AWS CodeDeploy
5: Configure an Application Load Balancer for your blue/green deployments - AWS CodeDeploy
6: What is AWS Lambda? - AWS Lambda
7: What is AWS CodeArtifact? - AWS CodeArtifact
質問 # 279
A company has many applications. Different teams in the company developed the applications by using multiple languages and frameworks. The applications run on premises and on different servers with different operating systems. Each team has its own release protocol and process. The company wants to reduce the complexity of the release and maintenance of these applications.
The company is migrating its technology stacks, including these applications, to AWS. The company wants centralized control of source code, a consistent and automatic delivery pipeline, and as few maintenance tasks as possible on the underlying infrastructure.
What should a DevOps engineer do to meet these requirements?
- A. Create one AWS CodeCommit repository for all applications. Put each application's code in a different branch. Merge the branches, and use AWS CodeBuild to build the applications. Use AWS CodeDeploy to deploy the applications to one centralized application server.
- B. Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build the applications one at a time and to create one AMI for each server. Use AWS CloudFormation StackSets to automatically provision and decommission Amazon EC2 fleets by using these AMIs.
- C. Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build the applications one at a time. Use AWS CodeDeploy to deploy the applications to one centralized application server.
- D. Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build one Docker image for each application in Amazon Elastic Container Registry (Amazon ECR). Use AWS CodeDeploy to deploy the applications to Amazon Elastic Container Service (Amazon ECS) on infrastructure that AWS Fargate manages.
正解:D
解説:
because of "as few maintenance tasks as possible on the underlying infrastructure". Fargate does that better than "one centralized application server"
質問 # 280
A company uses AWS Organizations to manage its AWS accounts. A DevOps engineer must ensure that all users who access the AWS Management Console are authenticated through the company's corporate identity provider (IdP).
Which combination of steps will meet these requirements? (Select TWO.)
- A. Create an SCP in Organizations to deny password creation for 1AM users.
- B. Use AWS 1AM Identity Center to configure identity federation with SAML 2.0.
- C. Create 1AM groups in the Organizations management account to apply consistent permissions for all 1AM users.
- D. Create a permissions boundary in AWS 1AM Identity Center to deny password logins for 1AM users.
- E. Use Amazon GuardDuty with a delegated administrator account. Use GuardDuty to enforce denial of 1AM user logins
正解:A、B
解説:
* Step 1: Using AWS IAM Identity Center for SAML-based Identity Federation To ensure that all users accessing the AWS Management Console are authenticated via the corporate identity provider (IdP), the best approach is to set up identity federation with AWS IAM Identity Center (formerly AWS SSO) using SAML 2.0.
Action: Use AWS IAM Identity Center to configure identity federation with the corporate IdP that supports SAML 2.0.
Why: SAML 2.0 integration enables single sign-on (SSO) for users, allowing them to authenticate through the corporate IdP and gain access to AWS resources.
Reference:
This corresponds to Option B: Use AWS IAM Identity Center to configure identity federation with SAML 2.0.
* Step 2: Creating an SCP to Deny Password Logins for IAM UsersTo enforce that IAM users do not create passwords or access the Management Console directly without going through the corporate IdP, you can create a Service Control Policy (SCP) in AWS Organizations that denies password creation for IAM users.
Action: Create an SCP that denies password creation for IAM users.
Why: This ensures that users cannot set passwords for their IAM user accounts, forcing them to use federated access through the corporate IdP for console login.
This corresponds to Option E: Create an SCP in Organizations to deny password creation for IAM users.
質問 # 281
......
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