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Amazon DOP-C02 Exam Syllabus Topics:

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

>> DOP-C02考古題介紹 <<

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最新的 AWS Certified Professional DOP-C02 免費考試真題 (Q310-Q315):

問題 #310
A company's application development team uses Linux-based Amazon EC2 instances as bastion hosts. Inbound SSH access to the bastion hosts is restricted to specific IP addresses, as defined in the associated security groups. The company's security team wants to receive a notification if the security group rules are modified to allow SSH access from any IP address.
What should a DevOps engineer do to meet this requirement?

A. Enable Amazon GuardDuty and check the findings for security groups in AWS Security Hub. Configure an Amazon EventBridge rule with a custom pattern that matches GuardDuty events with an output of NON_COMPLIANT. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.
B. Create an Amazon EventBridge rule with a source of aws.cloudtrail and the event name AuthorizeSecurityGroupIngress. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.
C. Enable Amazon Inspector. Include the Common Vulnerabilities and Exposures-1.1 rules package to check the security groups that are associated with the bastion hosts. Configure Amazon Inspector to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.
D. Create an AWS Config rule by using the restricted-ssh managed rule to check whether security groups disallow unrestricted incoming SSH traffic. Configure automatic remediation to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

答案：B

解題說明：
https://aws.amazon.com/premiumsupport/knowledge-center/monitor-security-group-changes-ec2/

問題 #311
A company deployed an Amazon CloudFront distribution that accepts requests and routes to an Amazon API Gateway HTTP API. During a recent security audit, the company discovered that requests from the internet could reach the HTTP API without using the CloudFront distribution.
A DevOps engineer must ensure that connections to the HTTP API use the CloudFront distribution.
Which solution will meet these requirements?

A. Implement an identity-based policy on the CloudFront distribution that requires authentication to make requests to the HTTP API.
B. Deploy AWS WAF in front of the CloudFront distribution.
C. Enable VPC Flow Logs to identify requests that reach the HTTP API.
D. Implement a custom header in the CloudFront distribution. Implement an AWS Lambda authorizer associated with the HTTP API that verifies the custom header.

答案：D

解題說明：
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
To restrict direct access to API Gateway, add a custom header in the CloudFront distribution origin request and use a Lambda authorizer in API Gateway to validate that header. Only requests routed through CloudFront will include this header. This is the AWS-recommended pattern in "Secure your APIs behind CloudFront using custom headers and Lambda authorizers."

問題 #312
A company needs to adopt a multi-account strategy to deploy its applications and the associated CI/CD infrastructure. The company has created an organization in AWS Organizations that has all features enabled.
The company has configured AWS Control Tower and has set up a landing zone.
The company needs to use AWS Control Tower controls (guardrails) in all AWS accounts in the organization.
The company must create the accounts for a multi-environment application and must ensure that all accounts are configured to an initial baseline.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Control Tower Account Factory to provision a dedicated AWS account for each environment and a CI/CD account. Use AWS CloudFormation StackSets to apply the baseline configuration to the new accounts.
B. Use Organizations to provision a dedicated AWS account for each environment, an audit account, and a CI/CD account. Use AWS CloudFormation StackSets to apply the baseline configuration to the new accounts.
C. Create an AWS Control Tower Account Factory Customization (AFC) blueprint that uses the baseline configuration. Use AWS Control Tower Account Factory to provision a dedicated AWS account for each environment and a CI/CD account by using the blueprint.
D. Use Organizations to provision a multi-environment AWS account and a CI/CD account. In the Organizations management account, create an AWS Lambda function that assumes the Organizations access role to apply the baseline configuration to the new accounts.

答案：C

解題說明：
Comprehensive & Detailed Explanation (150-250 words):
AWS Control Tower provides Account Factory and Account Factory Customizations (AFC) as the lowest- overhead and most scalable method for creating and configuring new accounts. AFC allows you to define blueprints that include mandatory baseline resources such as IAM roles, logging configurations, guardrails, network settings, and tagging standards. When accounts are created through Account Factory using a customization blueprint, all controls and baseline configurations are applied automatically during provisioning, without any additional automation steps or StackSet deployments.
Option B requires running StackSets after the account is created, which adds manual management overhead and defeats the built-in automation advantages of Control Tower. Options C and D rely on manually provisioning accounts via AWS Organizations, which bypasses Control Tower's governance and would require custom Lambda or StackSet automation to replicate controls that Control Tower already provides automatically.
Because the question explicitly asks for the least operational overhead, the correct answer is to use the Control Tower AFC blueprint, ensuring every account is born compliant with the required guardrails and baseline configuration.

問題 #313
A company is using AWS CodeDeploy to automate software deployment. The deployment must meet these requirements:
* A number of instances must be available to serve traffic during the deployment Traffic must be balanced across those instances, and the instances must automatically heal in the event of failure.
* A new fleet of instances must be launched for deploying a new revision automatically, with no manual provisioning.
* Traffic must be rerouted to the new environment to half of the new instances at a time. The deployment should succeed if traffic is rerouted to at least half of the instances; otherwise, it should fail.
* Before routing traffic to the new fleet of instances, the temporary files generated during the deployment process must be deleted.
* At the end of a successful deployment, the original instances in the deployment group must be deleted immediately to reduce costs.
How can a DevOps engineer meet these requirements?

A. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, create a custom deployment configuration with minimum healthy hosts defined as
50%. and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeBlockTraffic hook within appspec.yml to delete the temporary files.
B. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefaulLAIIatOnce as a deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appspec.yml to delete the temporary files.
C. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto scaling group option, and use CodeDeployDefault.HalfAtAtime as the deployment configuration.
Instruct AWSCodeDeploy to terminate the original instances in the deployment group, and use the BeforeAlIowTraffic hook within appspec.yml to delete the temporary files.
D. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy Auto Scaling group option. and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the AllowTraffic hook within appspec.
yml to delete the temporary files.

答案：C

解題說明：
Step 1: Use a Blue/Green Deployment StrategyA blue/green deployment strategy is necessary to meet the requirement of launching a new fleet of instances for each deployment and ensuring availability. In a blue
/green deployment, the new version (green environment) is deployed to a separate set of instances, while the old version (blue environment) remains active. After testing the new version, traffic can be gradually shifted.
Action: Use AWS CodeDeploy's blue/green deployment configuration.
Why: Blue/green deployment minimizes downtime and ensures that traffic is shifted only to healthy instances.
Reference: AWS documentation on Blue/Green Deployment.
Step 2: Use an Application Load Balancer and Auto Scaling GroupThe Application Load Balancer (ALB) is essential to balance traffic across multiple instances, and Auto Scaling ensures the deployment scales automatically to meet demand.
Action: Associate the Auto Scaling group and Application Load Balancer target group with the deployment group.
Why: This configuration ensures that traffic is evenly distributed and that instances automatically scale based on traffic load.
Reference: AWS documentation on Deploying with Auto Scaling and Load Balancing.
Step 3: Use Custom Deployment ConfigurationThe company requires that traffic be rerouted to at least half of the instances to succeed. AWS CodeDeploy allows you to configure custom deployment settings with specific thresholds for healthy hosts.
Action: Create a custom deployment configuration where 50% of the instances must be healthy.
Why: This ensures that the deployment continues only if at least 50% of the new instances are healthy.
Reference: AWS documentation on Deployment Configurations.
Step 4: Clean Temporary Files Using HooksBefore routing traffic to the new environment, the temporary files generated during the deployment must be deleted. This can be achieved using the BeforeAllowTraffic hook in the appspec.yml file.
Action: Use the BeforeAllowTraffic lifecycle event hook to clean up temporary files before routing traffic to the new environment.
Why: This ensures that the environment is clean before the new instances start serving traffic.
Reference: AWS documentation on AppSpec File Hooks.
Step 5: Terminate Original Instances After DeploymentAfter a successful deployment, AWS CodeDeploy can automatically terminate the original instances (blue environment) to save costs.
Action: Instruct AWS CodeDeploy to terminate the original instances after the new instances are healthy.
Why: This helps in cost reduction by removing unused instances after the deployment.
Reference: AWS documentation on Terminate Old Instances.
This corresponds to Option C: Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault.HalfAtATime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files.

問題 #314
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 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.
B. 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.
C. 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.
D. 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.

答案：C

解題說明：
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.

問題 #315
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