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Amazon DOP-C02 Exam Syllabus Topics:

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

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

NEW QUESTION # 28
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: B,D,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 # 29
A company uses AWS Organizations to manage its AWS accounts. The company has a root OU that has a child OU. The root OU has an SCP that allows all actions on all resources. The child OU has an SCP that allows all actions for Amazon DynamoDB and AWS Lambda, and denies all other actions.
The company has an AWS account that is named vendor-data in the child OU. A DevOps engineer has an 1AM user that is attached to the AdministratorAccess 1AM policy in the vendor-data account. The DevOps engineer attempts to launch an Amazon EC2 instance in the vendor-data account but receives an access denied error.
Which change should the DevOps engineer make to launch the EC2 instance in the vendor-data account?

Answer: A

Explanation:
The correct answer is C. Updating the SCP in the child OU to allow all actions for Amazon EC2 will enable the DevOps engineer to launch the EC2 instance in the vendor-data account. SCPs are applied to OUs and accounts in a hierarchical manner, meaning that the SCPs attached to the parent OU are inherited by the child OU and accounts. Therefore, the SCP in the child OU overrides the SCP in the root OU and denies all actions except for DynamoDB and Lambda. By adding EC2 to the allowed actions in the child OU's SCP, the DevOps engineer can access EC2 resources in the vendor-data account.
Option A is incorrect because attaching the AmazonEC2FullAccess IAM policy to the IAM user will not grant the user access to EC2 resources. IAM policies are evaluated after SCPs, so even if the IAM policy allows EC2 actions, the SCP will still deny them.
Option B is incorrect because creating a new SCP that allows all actions for EC2 and attaching it to the vendor-data account will not work. SCPs are not cumulative, meaning that only one SCP is applied to an account at a time. The SCP attached to the account will be the SCP attached to the OU that contains the account. Therefore, option B will not change the SCP that is applied to the vendor-data account.
Option D is incorrect because creating a new SCP that allows all actions for EC2 and attaching it to the root OU will not work. As explained earlier, the SCP in the child OU overrides the SCP in the root OU and denies all actions except for DynamoDB and Lambda. Therefore, option D will not affect the SCP that is applied to the vendor-data account.


NEW QUESTION # 30
A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The company's CloudWatch costs for ingestion are increasing A DevOps engineer needs to Identify which applications are the source of the increased logging costs.
Which solution Will meet these requirements?

Answer: B

Explanation:
The correct answer is C.
A comprehensive and detailed explanation is:
Option A is incorrect because using CloudWatch metrics to create a custom expression that identifies the CloudWatch log groups that have the most data being written to them is not a valid solution. CloudWatch metrics do not provide information about the size or volume of data being ingested by CloudWatch logs. CloudWatch metrics only provide information about the number of events, bytes, and errors that occur within a log group or stream. Moreover, creating a custom expression with CloudWatch metrics would require using the search_web tool, which is not necessary for this use case.
Option B is incorrect because using CloudWatch Logs Insights to create a set of queries for the application log groups to identify the number of logs written for a period of time is not a valid solution. CloudWatch Logs Insights can help analyze and filter log events based on patterns and expressions, but it does not provide information about the cost or billing of CloudWatch logs. CloudWatch Logs Insights also charges based on the amount of data scanned by each query, which could increase the logging costs further.
Option C is correct because using AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage is a valid solution. AWS Cost Explorer is a tool that helps visualize, understand, and manage AWS costs and usage over time. AWS Cost Explorer can generate custom reports that show the breakdown of costs by service, region, account, tag, or any other dimension. AWS Cost Explorer can also filter and group costs by usage type, which can help identify the specific CloudWatch log groups that are the source of the increased logging costs.
Option D is incorrect because using AWS CloudTrail to filter for CreateLogStream events for each application is not a valid solution. AWS CloudTrail is a service that records API calls and account activity for AWS services, including CloudWatch logs. However, AWS CloudTrail does not provide information about the cost or billing of CloudWatch logs. Filtering for CreateLogStream events would only show when a new log stream was created within a log group, but not how much data was ingested or stored by that log stream.
References:
CloudWatch Metrics
CloudWatch Logs Insights
AWS Cost Explorer
AWS CloudTrail


NEW QUESTION # 31
A company uses Amazon Elastic Container Registry (Amazon ECR) for all images of the company's containerized infrastructure. The company uses the pull through cache functionality with the /external prefix to avoid throttling when the company retrieves images from external image registries. The company uses AWS Organizations for its accounts.
Every image in the registry must be encrypted with a specific, pre-provisioned AWS Key Management Service (AWS KMS) key. The company's internally created images already comply with this policy. However, cached external images use server-side encryption with Amazon S3 managed keys (SSE-S3).
The company must remove the noncompliant cache repositories. The company must also implement a secure solution to ensure that all new pull through cache repositories are automatically encrypted with the required KMS key.
Which solution will meet these requirements?

Answer: D

Explanation:
For pull through cache repositories, Amazon ECR now supports repository creation templates that can be applied to a registry prefix, such as /external. These templates define default settings, including encryption configuration with a specific KMS key, tag immutability, scan on push, and more. When new cache repositories are auto-created under that prefix, they inherit the template settings automatically.
In this scenario, existing external cache repositories are noncompliant because they use SSE-S3. The company can delete those repositories (removing the noncompliant caches) and configure an ECR repository creation template for the /external prefix that specifies the required customer managed KMS key. As new images are pulled, ECR recreates the cache repositories under that prefix with KMS encryption using the specified key, guaranteeing compliance going forward.
Option A (AWS Config) would only detect noncompliance after creation and cannot enforce encryption at creation time. Option C (SCP) cannot directly control repository encryption properties. Option D misuses EventBridge; KMS cannot be a "target" that retroactively encrypts repositories.
Therefore, using an ECR repository creation template with the desired KMS key is the correct, automatic, and secure solution.


NEW QUESTION # 32
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?

Answer: B

Explanation:
When AWS CodeDeploy performs an in-place deployment, it updates the instances with the new application revision one at a time, as specified by the deployment configuration codeDeployDefault.oneAtATime. If a lifecycle event hook, such as AfterInstall, fails during the deployment, CodeDeploy will attempt to roll back to the previous version on the affected instances. This is likely what happened with the two instances that still have the previous application revision deployed. The failure of the AfterInstall lifecycle event hook triggered the rollback mechanism, resulting in those instances reverting to the previous application revision.
References:
* AWS CodeDeploy documentation on redeployment and rollback procedures1.
* Stack Overflow discussions on re-deploying older revisions with AWS CodeDeploy2.
* AWS CLI reference guide for deploying a revision2.


NEW QUESTION # 33
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