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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
High Availability and Disaster Recovery	16%	- Design and implement high availability and scalability 1. Implement load balancing and traffic management 2. Design multi-AZ and multi-region architectures 3. Implement auto scaling strategies - Implement data backup and restore strategies 1. Implement cross-region replication 2. Implement validation testing for backups 3. Design point-in-time recovery solutions - Design and implement disaster recovery strategies 1. Design RTO and RPO based DR solutions 2. Implement backup and restore mechanisms 3. Implement multi-region active-active architectures 4. Implement pilot light and warm standby architectures
Monitoring and Logging	12%	- 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. Design runbook automation 3. Implement automated incident response
Policies and Standards Automation	10%	- Design and implement preventive and detective controls 1. Design and implement security baselines 2. Implement AWS Organizations and SCPs 3. Implement drift detection and remediation - Design and implement governance strategies 1. Implement approval workflows and automation 2. Design cost optimization through policies 3. Implement tagging policies and resource grouping
Incident and Event Response	18%	- Design and implement chaos engineering practices 1. Analyze system behavior under failure conditions 2. Design resilience testing strategies 3. Implement fault injection experiments (AWS Fault Injection Simulator) - Design and implement event and incident management 1. Implement automated response playbooks 2. Implement automated incident detection 3. Design event aggregation and correlation
SDLC Automation	22%	- Design and implement CI/CD pipelines 1. Design failure handling strategies 2. Determine appropriate CI/CD pipeline architecture 3. Develop CI/CD pipelines considering testing and security requirements 4. Implement deployment strategies (blue-green, canary, rolling) - Design and implement source code management strategies 1. Implement repository configurations and hooks 2. Design code review and approval processes 3. Determine branching strategies - Design build and test environments 1. Integrate security scanning and compliance checks 2. Implement build environments (isolated, reproducible) 3. Design test automation frameworks
Configuration Management and Infrastructure as Code	22%	- Design and implement configuration management 1. Design patch management strategies 2. Implement parameter management (AWS Parameter Store, Secrets Manager) 3. Implement AWS Systems Manager for configuration management - Design and implement data management strategies 1. Implement data lifecycle management 2. Implement database migration strategies 3. Design backup and recovery solutions - Design and implement infrastructure as code 1. Implement modular and reusable infrastructure components 2. Develop IaC templates (AWS CloudFormation, Terraform) 3. Design for scalability and repeatability - Implement compliance and configuration monitoring 1. Implement AWS CloudTrail for auditing 2. Use AWS Config for compliance monitoring 3. Design remediation automation

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q144-Q149):

NEW QUESTION # 144
A company's web app runs on EC2 Linux instances and needs to monitor custom metrics for API response and DB query latency across instances with least overhead.
Which solution meets this?

A. Implement custom logging in app; use CloudWatch Logs Insights to extract and analyze metrics.
B. Create Lambda to poll app endpoints and DB, calculate metrics, send to CloudWatch via PutMetricData.
C. Use Amazon Managed Service for Prometheus to scrape metrics, use CloudWatch agent to forward metrics to CloudWatch.
D. Install CloudWatch agent on instances, configure it to collect custom metrics, and instrument app to send metrics to agent.

Answer: D

Explanation:
* Installing theCloudWatch agentand instrumenting the application to push custom metrics to the agent is the easiest and lowest overhead method.
* Prometheus (B) adds operational complexity.
* Lambda polling (C) introduces unnecessary complexity and latency.
* Using Logs Insights (D) requires extracting metrics from logs, which is less efficient.
References:
Custom Metrics with CloudWatch Agent
CloudWatch Agent User Guide

NEW QUESTION # 145
A DevOps team deploys an ECS app behind an ALB using CodeDeploy with all-at-once strategy. Recent deployment increased response times, requiring rollback. The team wants a deployment strategy to monitor new versions before full traffic shift and rollback quickly if issues occur.
Which steps meet these requirements? (Select TWO.)

A. Use CodeDeployDefault.ECSLinear10PercentEvery3Minutes deployment configuration.
B. Create a CloudWatch alarm on ALB UnHealthyHostCount and associate it with the deployment group for rollback.
C. Create a CloudWatch alarm on ALB TargetConnectionErrorCount and associate it with the deployment group for rollback.
D. Create a CloudWatch alarm on ALB TargetResponseTime and associate it with the deployment group for rollback.
E. Use CodeDeployDefault.ECSCanary10Percent5Minutes deployment configuration.

Answer: D,E

Explanation:
* Canary deploymentsgradually shift traffic (10% at first), enabling monitoring before full rollout.
* MonitoringTargetResponseTimealigns with detecting increased latency, a key issue reported.
* Alarms tied to the deployment group trigger automatic rollback on threshold breach.
* UnHealthyHostCount and TargetConnectionErrorCount are less specific to response time issues.
* Linear deployment is valid but canary is preferred for quick detection.
References:
CodeDeploy Deployment Configurations
Automatic Rollback with CloudWatch Alarms

NEW QUESTION # 146
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.)

A. Use AWS CodeBuild to build the artifact and place the artifact in the S3 bucket. Use AWS CodeDeploy to deploy the artifact to EC2 instances.
B. Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository. Use AWS CodeBuild to build an artifact and copy the object into the S3 bucket. Configure CodeBuild to run for every merge into the main branch.
C. Create a custom script to clear the cache. Specify the script in the BeforeInstall lifecycle hook in the AppSpec file.
D. Create user data for each EC2 instance that contains the cache clearing script. Test the application after deployment. If the deployment is not successful, then redeploy.
E. Use AWS Systems Manager to fetch the artifact from the S3 bucket and to deploy the artifact to all the EC2 instances.
F. Use AWS CodePipeline to deploy the application. Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository as a source for the pipeline.

Answer: A,C,F

Explanation:
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.

NEW QUESTION # 147
A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by developers after successful testing The company now needs the tests and deployments be automated and run in the cloud Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment.
What solution meets all the requirements, ensuring the MOST developer velocity?

A. Create an AWS CodeBuild configuration that triggers when the test code is pushed Use AWS CloudFormation to trigger an AWS CodePipelme configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval
B. Create an AWS CodePipelme configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinearlDPercentEvery3Minut.es Option.
C. Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version. Use an interval in the Lambda function to deploy the code over time at the required percentage
D. Create an AWS CodePipelme configuration and set up a post-commit hook to trigger the pipeline after tests have passed Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval

Answer: B

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployment-configurations.html

NEW QUESTION # 148
A company uses AWS WAF to protect its cloud infrastructure. A DevOps engineer needs to give an operations team the ability to analyze log messages from AWS WAR. The operations team needs to be able to create alarms for specific patterns in the log output.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Instruct the operations team to create AWS Lambda functions that detect each desired log message pattern. Configure the Lambda functions to publish to an Amazon Simple Notification Service (Amazon SNS) topic.
B. Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.
C. Create an Amazon OpenSearch Service cluster and appropriate indexes. Configure an Amazon Kinesis Data Firehose delivery stream to stream log data to the indexes. Use OpenSearch Dashboards to create filters and widgets.
D. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Use Amazon Athena to create an external table definition that fits the log message pattern. Instruct the operations team to write SOL queries and to create Amazon CloudWatch metric filters for the Athena queries.

Answer: B

Explanation:
Step 1: Sending AWS WAF Logs to CloudWatch LogsAWS WAF allows you to log requests that are evaluated against your web ACLs. These logs can be sent directly to CloudWatch Logs, which enables real-time monitoring and analysis.
Action: Configure the AWS WAF web ACL to send log messages to a CloudWatch Logs log group.
Why: This allows the operations team to view the logs in real time and analyze patterns using CloudWatch metric filters.
Reference:
Step 2: Creating CloudWatch Metric FiltersCloudWatch metric filters can be used to search for specific patterns in log data. The operations team can create filters for certain log patterns and set up alarms based on these filters.
Action: Instruct the operations team to create CloudWatch metric filters to detect patterns in the WAF log output.
Why: Metric filters allow the team to trigger alarms based on specific patterns without needing to manually search through logs.
This corresponds to Option A: Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.

NEW QUESTION # 149
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