DOP-C02 Lernressourcen & DOP-C02 Testengine

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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configuration Management and Infrastructure as Code	17%	- Manage infrastructure deployments 1. Implement version control for configurations 2. Provision and update resources automatically 3. Manage multi-account and multi-region environments - Implement infrastructure as code 1. Use AWS CloudFormation, Terraform, or AWS CDK 2. Manage templates and stacks 3. Enforce configuration standards - Automate configuration management 1. Maintain consistent configurations 2. Detect and remediate configuration drift 3. Use AWS Systems Manager, Ansible, or Puppet
Topic 2: Monitoring and Logging	15%	- 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. Monitor infrastructure, applications, and costs 3. Create dashboards and insights - Implement logging and analysis 1. Centralize logs with CloudWatch Logs 2. Use AWS X-Ray for tracing 3. Analyze logs for troubleshooting and security
Topic 3: Incident and Event Response	14%	- Improve operational processes 1. Implement feedback loops 2. Update runbooks and playbooks 3. Optimize response time and efficiency - Manage incidents and outages 1. Document and learn from events 2. Coordinate response and recovery 3. Troubleshoot complex issues - Automate event management 1. Classify and prioritize events 2. Automate common operational tasks 3. Integrate with ticketing and workflow systems
Topic 4: Security, Governance, and Compliance	17%	- Automate security and compliance 1. Integrate security into CI/CD pipelines 2. Use AWS Security Hub and AWS Shield 3. Detect and remediate violations automatically - Implement security controls 1. Secure secrets and credentials 2. Encrypt data at rest and in transit 3. Manage IAM for pipelines and environments - Enforce governance and compliance 1. Implement compliance rules and audits 2. Use AWS Config and AWS Organizations 3. Manage access and permissions at scale
Topic 5: SDLC Automation	22%	- Implement CI/CD pipelines 1. Automate build, test, and deployment stages 2. Use AWS CodePipeline, CodeBuild, CodeDeploy 3. Integrate version control systems - Automate testing and validation 1. Security and compliance testing 2. Unit, integration, and performance testing 3. Automate quality gates - Automate software release processes 1. Automate rollback procedures 2. Implement deployment strategies 3. Manage artifacts and dependencies
Topic 6: Resilient Cloud Solutions	15%	- Implement disaster recovery 1. Test and validate recovery plans 2. Backup and restore strategies 3. Pilot light, warm standby, and active-active - Design high availability architectures 1. Multi-AZ and multi-region deployments 2. Implement auto scaling and load balancing 3. Use Route 53 for routing and failover - Ensure reliability and scalability 1. Design for fault tolerance 2. Manage capacity and elasticity 3. Optimize performance and cost

>> DOP-C02 Lernressourcen <<

DOP-C02 Testengine & DOP-C02 Musterprüfungsfragen

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Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q187-Q192):

187. Frage
A SaaS company uses ECS (Fargate) behind an ALB and CodePipeline + CodeDeploy for blue/green deployments. They need automatic, incremental traffic shifting over time with no downtime.
Which solution will meet these requirements?

A. Configure weighted routing on ALB manually.
B. Use AllAtOnce deployment configuration.
C. Use TimeBasedCanary.
D. Use TimeBasedLinear in appspec.yaml with defined percentage and interval.

Antwort: D

Begründung:
CodeDeploy supports TimeBasedLinear traffic shifting for ECS blue/green deployments. Traffic increments by linearPercentage every linearInterval until 100%. This provides zero-downtime gradual rollout - as per CodeDeploy ECS Blue/Green Traffic Shifting documentation.

188. Frage
A DevOps team manages an API running on-premises that serves as a backend for an Amazon API Gateway endpoint. Customers have been complaining about high response latencies, which the development team has verified using the API Gateway latency metrics in Amazon CloudWatch. To identify the cause, the team needs to collect relevant data without introducing additional latency.
Which actions should be taken to accomplish this? (Choose two.)

A. Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.
B. Modify the on-premises application to send log information back to API Gateway with each request.
C. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request.
D. Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch.
E. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray.

Antwort: D,E

Begründung:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/install-CloudWatch-Agent-on-premise.
htmlhttps://docs.aws.amazon.com/xray/latest/devguide/xray-api-sendingdata.html

189. Frage
A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to host its machine learning (ML) application. As the ML model and the container image grow, pod startup time has increased to several minutes. The DevOps engineer created an EventBridge rule that triggers Systems Manager automation to prefetch container images from ECR. Node groups and the cluster have tags configured.
What should the DevOps engineer do next to meet the requirements?

A. Create an IAM role allowing EventBridge to use Systems Manager to run commands in the worker nodes. Create a State Manager association using the nodes' tags to prefetch container images.
B. Create an IAM role allowing EventBridge to use Systems Manager to run commands in the control plane nodes. Create a State Manager association using the nodes' tags.
C. Create an IAM role allowing EventBridge to use Systems Manager to run commands in the control plane nodes. Create a State Manager association using control plane node tags.
D. Create an IAM role allowing EventBridge to use Systems Manager to run commands in the worker nodes. Create a State Manager association using the nodes' machine size.

Antwort: A

Begründung:
EKS control plane nodes are fully managed by AWS and are not accessible for configuration, SSH, SSM commands, or custom workloads. Therefore, any prefetching of container images must occur on the worker nodes (EC2 instances in the node groups) because those are the machines that pull and cache container images before running pods.
Option C is the only solution that aligns with AWS architecture:
It creates an IAM role allowing Systems Manager Run Command to execute on EC2 worker nodes.
It uses node group tags to target the correct nodes dynamically.
State Manager runs the prefetch script whenever triggered by the EventBridge automation - ensuring newly added nodes pre-pull images and reduce cold-start latency to seconds.
Options A and D are invalid because you cannot run Systems Manager commands on EKS control plane nodes; AWS manages them and does not expose them. Option B incorrectly targets node groups based on machine size, which does not provide reliable node identification or filtering.
Thus, Option C provides the correct, scalable, and supported method for prefetching images across all worker nodes.

190. Frage
An ecommerce company hosts a web application on Amazon EC2 instances that are in an Auto Scaling group.
The company deploys the application across multiple Availability Zones.
Application users are reporting intermittent performance issues with the application.
The company enables basic Amazon CloudWatch monitoring for the EC2 instances. The company identifies and implements a fix for the performance issues. After resolving the issues, the company wants to implement a monitoring solution that will quickly alert the company about future performance issues.
Which solution will meet this requirement?

A. Use AWS X-Ray to implement distributed tracing. Integrate X-Ray with Amazon CloudWatch RUM.
Use Amazon EventBridge to trigger automatic scaling actions based on custom events.
B. Enable detailed monitoring for the EC2 instances. Create custom CloudWatch metrics for application- specific performance indicators. Set up CloudWatch alarms based on the custom metrics. Use CloudWatch Logs Insights to analyze application logs for error patterns.
C. Enable VPC Flow Logs. Use Amazon Data Firehose to stream flow logs to Amazon S3. Use Amazon Athena to analyze the logs and to send alerts to the company.
D. Use Amazon CloudFront to deliver the application. Use AWS CloudTrail to monitor API calls. Use AWS Trusted Advisor to generate recommendations to optimize performance. Use Amazon GuardDuty to detect potential performance issues.

Antwort: B

191. Frage
A company has an AWS account named PipelineAccount. The account manages a pipeline in AWS CodePipeline. The account uses an IAM role named CodePipeline_Service_Role and produces an artifact that is stored in an Amazon S3 bucket. The company uses a customer managed AWS KMS key to encrypt objects in the S3 bucket.
A DevOps engineer wants to configure the pipeline to use an AWS CodeDeploy application in an AWS account named CodeDeployAccount to deploy the produced artifact.
The DevOps engineer updates the KMS key policy to grant the CodeDeployAccount account permission to use the key. The DevOps engineer configures an IAM role named DevOps_Role in the CodeDeployAccount account that has access to the CodeDeploy resources that the pipeline requires. The DevOps engineer updates an Amazon EC2 instance role that operates within the CodeDeployAccount account to allow access to the S3 bucket and the KMS key that is in the PipelineAccount account.
Which additional steps will meet these requirements?

A. Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket.Configure the DevOps_Role IAM role to have an IAM trust policy that allows the CodeDeployAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.
B. Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket.
Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the DevOps_Role IAM role to grant permission to assume CodePipeline_Service_Role role.
C. Update the S3 bucket policy to grant the PipelineAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM to grant permission to assume the DevOps_Role role.
D. Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket.
Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

Antwort: D

Begründung:
For cross-account deployments, CodePipeline must assume a role in the target account. Configure S3 bucket policy to allow the target account (CodeDeployAccount) access, trust relationship in DevOps_Role to allow assumption by the pipeline's account (PipelineAccount), and update CodePipeline_Service_Role with sts:
AssumeRole permissions. This cross-account pipeline setup is documented in "Cross-Account Access for AWS CodePipeline."

192. Frage
......

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