Amazon DOP-C02시험대비최신덤프문제 & DOP-C02 100％시험패스공부자료

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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Resilient Cloud Solutions15%- Ensure reliability and scalability
  • 1. Optimize performance and cost
  • 2. Design for fault tolerance
  • 3. Manage capacity and elasticity
- 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
- Implement disaster recovery
  • 1. Test and validate recovery plans
  • 2. Backup and restore strategies
  • 3. Pilot light, warm standby, and active-active
Topic 2: Incident and Event Response14%- Automate event management
  • 1. Classify and prioritize events
  • 2. Automate common operational tasks
  • 3. Integrate with ticketing and workflow systems
- Manage incidents and outages
  • 1. Troubleshoot complex issues
  • 2. Coordinate response and recovery
  • 3. Document and learn from events
- Improve operational processes
  • 1. Update runbooks and playbooks
  • 2. Optimize response time and efficiency
  • 3. Implement feedback loops
Topic 3: Configuration Management and Infrastructure as Code17%- Implement infrastructure as code
  • 1. Manage templates and stacks
  • 2. Use AWS CloudFormation, Terraform, or AWS CDK
  • 3. Enforce configuration standards
- Manage infrastructure deployments
  • 1. Manage multi-account and multi-region environments
  • 2. Provision and update resources automatically
  • 3. Implement version control for configurations
- Automate configuration management
  • 1. Use AWS Systems Manager, Ansible, or Puppet
  • 2. Detect and remediate configuration drift
  • 3. Maintain consistent configurations
Topic 4: Monitoring and Logging15%- Automate incident response
  • 1. Implement alerting and notification workflows
  • 2. Automate remediation and scaling
  • 3. Set up event-driven actions with Amazon EventBridge
- Implement logging and analysis
  • 1. Centralize logs with CloudWatch Logs
  • 2. Analyze logs for troubleshooting and security
  • 3. Use AWS X-Ray for tracing
- Implement monitoring solutions
  • 1. Monitor infrastructure, applications, and costs
  • 2. Use Amazon CloudWatch for metrics and alarms
  • 3. Create dashboards and insights
Topic 5: Security, Governance, and Compliance17%- Enforce governance and compliance
  • 1. Manage access and permissions at scale
  • 2. Implement compliance rules and audits
  • 3. Use AWS Config and AWS Organizations
- Implement security controls
  • 1. Manage IAM for pipelines and environments
  • 2. Secure secrets and credentials
  • 3. Encrypt data at rest and in transit
- Automate security and compliance
  • 1. Detect and remediate violations automatically
  • 2. Integrate security into CI/CD pipelines
  • 3. Use AWS Security Hub and AWS Shield
Topic 6: SDLC Automation22%- Automate testing and validation
  • 1. Security and compliance testing
  • 2. Automate quality gates
  • 3. Unit, integration, and performance testing
- Automate software release processes
  • 1. Manage artifacts and dependencies
  • 2. Implement deployment strategies
  • 3. Automate rollback procedures
- Implement CI/CD pipelines
  • 1. Automate build, test, and deployment stages
  • 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
  • 3. Integrate version control systems

>> Amazon DOP-C02시험대비 최신 덤프문제 <<

DOP-C02시험대비 최신 덤프문제 최신 기출문제 공부하기

Amazon DOP-C02인증덤프는 최근 출제된 실제시험문제를 바탕으로 만들어진 공부자료입니다. Amazon DOP-C02 시험문제가 변경되면 제일 빠른 시일내에 덤프를 업데이트하여 최신버전 덤프자료를Amazon DOP-C02덤프를 구매한 분들께 보내드립니다. 시험탈락시 덤프비용 전액환불을 약속해드리기에 안심하시고 구매하셔도 됩니다.

최신 AWS Certified Professional DOP-C02 무료샘플문제 (Q398-Q403):

질문 # 398
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?

정답：B


질문 # 399
A DevOps engineer has implemented a Cl/CO pipeline to deploy an AWS Cloud Format ion template that provisions a web application. The web application consists of an Application Load Balancer (ALB) a target group, a launch template that uses an Amazon Linux 2 AMI an Auto Scaling group of Amazon EC2 instances, a security group and an Amazon RDS for MySQL database The launch template includes user data that specifies a script to install and start the application.
The initial deployment of the application was successful. The DevOps engineer made changes to update the version of the application with the user dat a. The CI/CD pipeline has deployed a new version of the template However, the health checks on the ALB are now failing The health checks have marked all targets as unhealthy.
During investigation the DevOps engineer notices that the Cloud Formation stack has a status of UPDATE_COMPLETE. However, when the DevOps engineer connects to one of the EC2 instances and checks /varar/log messages, the DevOps engineer notices that the Apache web server failed to start successfully because of a configuration error How can the DevOps engineer ensure that the CloudFormation deployment will fail if the user data fails to successfully finish running?

정답：D

설명：
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-updatepolicy.html


질문 # 400
A development team manually builds a local artifact. The development team moves the artifact to an Amazon S3 bucket to support an application. The application has a local cache that must be cleared when the development team deploys the application to Amazon EC2 instances. For each deployment, the development team runs a command to clear the cache, download the artifact from the S3 bucket, and unzip the artifact to complete the deployment.
The development team wants to migrate the deployment process to a CI/CD process and to track the progress of each deployment.
Which combination of actions will meet these requirements with the MOST operational efficiency? (Select THREE.)

정답：A,C,E

설명：
Use CodePipeline with a Git source to orchestrate the flow, CodeBuild to produce versioned artifacts in S3, and CodeDeploy to EC2 with lifecycle hooks (e.g., BeforeInstall) to run cache-clearing and unpack steps.
This gives end-to-end visibility, rollbacks, and standardized deployments.


질문 # 401
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?

정답：B

설명：
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.
Reference: AWS documentation on Publishing Custom Metrics to CloudWatch.
This corresponds to Option A: 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.


질문 # 402
A company uses Amazon Elastic Container Service (Amazon ECS) with an Amazon EC2 launch type. The company requires all log data to be centralized on Amazon CloudWatch. The company's ECS tasks include a LogConfiguration object that specifies a value of awslogs for the log driver name.
The company's ECS tasks failed to deploy. An error message indicates that a missing permission causes the failure. The company confirmed that the IAM role used to launch container instances includes the logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.
Which solution will fix the problem?

정답：A

설명：
When using the awslogs log driver with ECS on EC2, the ECS agent running on the container instance uses the instance's IAM role (container instance role or task execution role, depending on configuration) to write logs to CloudWatch Logs. The policy already grants logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents, which are the required CloudWatch Logs actions. However, for the role to be usable by ECS, the role's trust policy must allow the appropriate service principal to assume it.
In this question, the error message indicates "missing permission" during ECS task deployment. If the IAM role is not trusted by the ECS service (for example, ecs-tasks.amazonaws.com for a task execution role or the proper principal for container instances), ECS cannot assume that role and therefore cannot use the granted CloudWatch permissions, causing deployment failures.
Option A addresses this by adding a trust relationship so that Amazon ECS can assume the IAM role. Options B and C mutate the permissions but do not fix the underlying problem: the missing trust. Option D incorrectly attempts to trust CloudWatch, which does not assume roles in this context.
Thus, adding a trust policy that establishes ECS as a trusted service is the correct fix.


질문 # 403
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