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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Policies and Standards Automation10%- Design and implement preventive and detective controls
  • 1. Implement drift detection and remediation
  • 2. Implement AWS Organizations and SCPs
  • 3. Design and implement security baselines
- Design and implement governance strategies
  • 1. Implement approval workflows and automation
  • 2. Implement tagging policies and resource grouping
  • 3. Design cost optimization through policies
SDLC Automation22%- Design and implement CI/CD pipelines
  • 1. Determine appropriate CI/CD pipeline architecture
  • 2. Implement deployment strategies (blue-green, canary, rolling)
  • 3. Develop CI/CD pipelines considering testing and security requirements
  • 4. Design failure handling strategies
- Design build and test environments
  • 1. Implement build environments (isolated, reproducible)
  • 2. Integrate security scanning and compliance checks
  • 3. Design test automation frameworks
- Design and implement source code management strategies
  • 1. Design code review and approval processes
  • 2. Implement repository configurations and hooks
  • 3. Determine branching strategies
Incident and Event Response18%- 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. Analyze system behavior under failure conditions
  • 2. Implement fault injection experiments (AWS Fault Injection Simulator)
  • 3. Design resilience testing strategies
Configuration Management and Infrastructure as Code22%- Design and implement data management strategies
  • 1. Design backup and recovery solutions
  • 2. Implement database migration strategies
  • 3. Implement data lifecycle management
- Design and implement configuration management
  • 1. Design patch management strategies
  • 2. Implement AWS Systems Manager for configuration management
  • 3. Implement parameter management (AWS Parameter Store, Secrets Manager)
- Design and implement infrastructure as code
  • 1. Design for scalability and repeatability
  • 2. Develop IaC templates (AWS CloudFormation, Terraform)
  • 3. Implement modular and reusable infrastructure components
- Implement compliance and configuration monitoring
  • 1. Design remediation automation
  • 2. Implement AWS CloudTrail for auditing
  • 3. Use AWS Config for compliance monitoring
High Availability and Disaster Recovery16%- Design and implement disaster recovery strategies
  • 1. Implement backup and restore mechanisms
  • 2. Implement multi-region active-active architectures
  • 3. Implement pilot light and warm standby architectures
  • 4. Design RTO and RPO based DR solutions
- Implement data backup and restore strategies
  • 1. Implement validation testing for backups
  • 2. Design point-in-time recovery solutions
  • 3. Implement cross-region replication
- Design and implement high availability and scalability
  • 1. Design multi-AZ and multi-region architectures
  • 2. Implement auto scaling strategies
  • 3. Implement load balancing and traffic management
Monitoring and Logging12%- Design and implement monitoring and observability strategies
  • 1. Implement distributed tracing (AWS X-Ray)
  • 2. Implement log aggregation and analysis
  • 3. Design custom metrics and alarms (Amazon CloudWatch)
- Design and implement alerting and incident management
  • 1. Create alarm notification strategies
  • 2. Implement automated incident response
  • 3. Design runbook automation

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q28-Q33):

NEW QUESTION # 28
A production account has a requirement that any Amazon EC2 instance that has been logged in to manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with the Amazon CloudWatch Logs agent configured.
How can this process be automated?

Answer: D

Explanation:
"You can use subscriptions to get access to a real-time feed of log events from CloudWatch Logs and have it delivered to other services such as an Amazon Kinesis stream, an Amazon Kinesis Data Firehose stream, or AWS Lambda for custom processing, analysis, or loading to other systems. When log events are sent to the receiving service, they are Base64 encoded and compressed with the gzip format." See https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/Subscriptions.html


NEW QUESTION # 29
A DevOps administrator is configuring a repository to store a company's container images. The administrator needs to configure a lifecycle rule that automatically deletes container images that have a specific tag and that are older than 15 days. Which solution will meet these requirements with the MOST operational efficiency?

Answer: C


NEW QUESTION # 30
A company recently migrated its application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that uses Amazon EC2 instances. The company configured the application to automatically scale based on CPU utilization.
The application produces memory errors when it experiences heavy loads. The application also does not scale out enough to handle the increased load. The company needs to collect and analyze memory metrics for the application over time.
Which combination of steps will meet these requirements? (Select THREE.)

Answer: A,B,E

Explanation:
* Step 1: Attaching the CloudWatchAgentServerPolicy to the IAM Role
The CloudWatch agent needs permissions to collect and send metrics, including memory metrics, to Amazon CloudWatch. You can attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile or service account role to grant these permissions.
Action: Attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile that the EKS cluster uses.
Why: This ensures the CloudWatch agent has the necessary permissions to collect memory metrics.
Reference:
This corresponds to Option A: Attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile that the cluster uses.
* Step 2: Deploying the CloudWatch Agent to EC2 InstancesTo collect memory metrics from the EC2 instances running in the EKS cluster, the CloudWatch agent needs to be deployed on these instances. The agent collects system-level metrics, including memory usage.
Action: Deploy the unified Amazon CloudWatch agent to the existing EC2 instances in the EKS cluster. Update the Amazon Machine Image (AMI) for future instances to include the CloudWatch agent.
Why: The CloudWatch agent allows you to collect detailed memory metrics from the EC2 instances, which is not enabled by default.
This corresponds to Option C: Collect performance metrics by deploying the unified Amazon CloudWatch agent to the existing EC2 instances in the cluster. Add the agent to the AMI for any new EC2 instances that are added to the cluster.
* Step 3: Analyzing Memory Metrics Using Container InsightsAfter collecting the memory metrics, you can analyze them using the pod_memory_utilization metric in Amazon CloudWatch Container Insights. This metric provides visibility into the memory usage of the containers (pods) in the EKS cluster.
Action: Analyze the pod_memory_utilization CloudWatch metric in the Container Insights namespace by using the Service dimension.
Why: This provides detailed insights into memory usage at the container level, which helps diagnose memory-related issues.
This corresponds to Option E: Analyze the pod_memory_utilization Amazon CloudWatch metric in the Container Insights namespace by using the Service dimension.


NEW QUESTION # 31
A DevOps engineer is setting up a container-based architecture. The engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.
How should the DevOps engineer update the CloudFormation template to resolve this issue?

Answer: B

Explanation:
The UserData property of the AWS: AutoScaling: LaunchConfiguration resource can be used to specify a script that runs when the EC2 instances are launched. This script can include the ECS cluster name as an environment variable for the ECS agent running on the EC2 instances. This way, the EC2 instances will register with the correct ECS cluster. Option A is incorrect because the AWS: ECS: Cluster resource does not have a property to reference the EC2 instances. Option C is incorrect because the EC2 instances are launched by the Auto Scaling group, not by the AWS: EC2: Instance resource. Option D is incorrect because using a custom resource and a Lambda function is unnecessary and overly complex for this scenario. References: AWS::AutoScaling::LaunchConfiguration, Amazon ECS Container Agent Configuration


NEW QUESTION # 32
A company's organization in AWS Organizations has a single OU. The company runs Amazon EC2 instances in the OU accounts. The company needs to limit the use of each EC2 instance's credentials to the specific EC2 instance that the credential is assigned to. A DevOps engineer must configure security for the EC2 instances.
Which solution will meet these requirements?

Answer: D

Explanation:
Step 1: Using Service Control Policies (SCPs) for EC2 SecurityTo limit the use of EC2 instance credentials to the specific EC2 instance they are assigned to, you can create a Service Control Policy (SCP) that verifies specific conditions, such as whether the EC2 instance's source VPC and private IP match expected values.
Action: Create an SCP that checks whether the values of the aws:EC2InstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if they are not.
Why: This ensures that credentials cannot be used outside the designated EC2 instance or VPC.
Step 2: Further Validation with Private IPsThe SCP should also verify that the EC2 instance's private IP matches the IP range specified for the VPC. If the instance's private IP does not match, access should be denied.
Action: In the same SCP, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:VpcSourceIP condition keys are the same. Deny access if they are not.
Why: This ensures that the credentials are only used within the specific EC2 instance and its associated VPC.
Reference:
This corresponds to Option B: Create an SCP that checks whether the values of the aws:EC2InstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:VpcSourceIP condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.


NEW QUESTION # 33
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