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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 auto scaling strategies 2. Implement load balancing and traffic management 3. Design multi-AZ and multi-region architectures - Design and implement disaster recovery strategies 1. Implement backup and restore mechanisms 2. Implement pilot light and warm standby architectures 3. Implement multi-region active-active architectures 4. Design RTO and RPO based DR solutions - Implement data backup and restore strategies 1. Design point-in-time recovery solutions 2. Implement cross-region replication 3. Implement validation testing for backups
Policies and Standards Automation	10%	- Design and implement governance strategies 1. Implement approval workflows and automation 2. Design cost optimization through policies 3. Implement tagging policies and resource grouping - 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
Monitoring and Logging	12%	- Design and implement monitoring and observability strategies 1. Design custom metrics and alarms (Amazon CloudWatch) 2. Implement distributed tracing (AWS X-Ray) 3. Implement log aggregation and analysis - Design and implement alerting and incident management 1. Implement automated incident response 2. Design runbook automation 3. Create alarm notification strategies
Configuration Management and Infrastructure as Code	22%	- Design and implement infrastructure as code 1. Develop IaC templates (AWS CloudFormation, Terraform) 2. Design for scalability and repeatability 3. Implement modular and reusable infrastructure components - Design and implement data management strategies 1. Implement database migration strategies 2. Design backup and recovery solutions 3. Implement data lifecycle management - Implement compliance and configuration monitoring 1. Use AWS Config for compliance monitoring 2. Design remediation automation 3. Implement AWS CloudTrail for auditing - Design and implement configuration management 1. Implement AWS Systems Manager for configuration management 2. Implement parameter management (AWS Parameter Store, Secrets Manager) 3. Design patch management strategies
SDLC Automation	22%	- Design build and test environments 1. Integrate security scanning and compliance checks 2. Design test automation frameworks 3. Implement build environments (isolated, reproducible) - 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 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
Incident and Event Response	18%	- 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. Implement fault injection experiments (AWS Fault Injection Simulator) 2. Design resilience testing strategies 3. Analyze system behavior under failure conditions

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q366-Q371):

NEW QUESTION # 366
A company wants to use a grid system for a proprietary enterprise m-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes an
/etc./cluster/nodes config file must be updated listing the IP addresses of the current node members of that cluster.
The company wants to automate the task of adding new nodes to a cluster.
What can a DevOps engineer do to meet these requirements?

A. Create an Amazon S3 bucket and upload a version of the /etc./cluster/nodes config file Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager such as Monit or system, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster edit the file's most recent members Upload the new file to the S3 bucket.
B. Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/. nodes config. Tile whenever a new instance is added to the cluster.
C. Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the 'etc./cluster/nodes config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.
D. Put the file nodes config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for thecluster nodes. When adding a new node to the cluster update the file with all tagged instances and make a commit in version control. Deploy the new file and restart the services.

Answer: C

Explanation:
Explanation
You can run custom recipes manually, but the best approach is usually to have AWS OpsWorks Stacks run them automatically. Every layer has a set of built-in recipes assigned each of five lifecycle events-Setup, Configure, Deploy, Undeploy, and Shutdown. Each time an event occurs for an instance, AWS OpsWorks Stacks runs the associated recipes for each of the instance's layers, which handle the corresponding tasks. For example, when an instance finishes booting, AWS OpsWorks Stacks triggers a Setup event. This event runs the associated layer's Setup recipes, which typically handle tasks such as installing and configuring packages

NEW QUESTION # 367
A company uses the AWS Cloud Development Kit (AWS CDK) to define its application. The company uses a pipeline that consists of AWS CodePipeline and AWS CodeBuild to deploy the CDK application. The company wants to introduce unit tests to the pipeline to test various infrastructure components. The company wants to ensure that a deployment proceeds if no unit tests result in a failure.
Which combination of steps will enforce the testing requirement in the pipeline? (Select TWO.)

A. Create a test that uses the cdk diff command. Configure the test to fail if any resources have changed.
B. Update the CodeBuild build phase commands to run the tests then to deploy the application. Add the -- require-approval any-change flag to the cdk deploy command.
C. Update the CodeBuild build phase commands to run the tests then to deploy the application. Set the OnFailure phase property to ABORT.
D. Update the CodeBuild build phase commands to run the tests then to deploy the application. Add the -- rollback true flag to the cdk deploy command.
E. Create a test that uses the AWS CDK assertions module. Use the template.hasResourceProperties assertion to test that resources have the expected properties.

Answer: C,E

Explanation:
To validate AWS CDK-defined infrastructure, use CDK Assertions (assertions module) to test synthesized CloudFormation templates (e.g., template.hasResourceProperties). Integrate testing into CodeBuild buildspec before deployment, setting OnFailure: ABORT so the pipeline halts if tests fail. This ensures safe continuous delivery following AWS CDK testing best practices.

NEW QUESTION # 368
A video-sharing company stores its videos in Amazon S3. The company has observed a sudden increase in video access requests, but the company does not know which videos are most popular. The company needs to identify the general access pattern for the video files. This pattern includes the number of users who access a certain file on a given day, as well as the numb A DevOps engineer manages a large commercial website that runs on Amazon EC2 The website uses Amazon Kinesis Data Streams to collect and process web togs The DevOps engineer manages the Kinesis consumer application, which also runs on Amazon EC2 Sudden increases of data cause the Kinesis consumer application to (all behind and the Kinesis data streams drop records before the records can be processed The DevOps engineer must implement a solution to improve stream handling Which solution meets these requirements with the MOST operational efficiency'' er of pull requests for certain files.
How can the company meet these requirements with the LEAST amount of effort?

A. Activate S3 server access logging. Use Amazon Athena to create an external table with the log files. Use Athena to create a SQL query to analyze the access patterns.
B. Record an Amazon CloudWatch Logs log message for every S3 object access event. Configure a CloudWatch Logs log stream to write the file access information, such as user, S3 bucket, and file key, to an Amazon Kinesis Data Analytics for SQL application. Perform a sliding window analysis.
C. Activate S3 server access logging. Import the access logs into an Amazon Aurora database. Use an Aurora SQL query to analyze the access patterns.
D. Invoke an AWS Lambda function for every S3 object access event. Configure the Lambda function to write the file access information, such as user. S3 bucket, and file key, to an Amazon Aurora database. Use an Aurora SQL query to analyze the access patterns.

Answer: A

Explanation:
Activating S3 server access logging and using Amazon Athena to create an external table with the log files is the easiest and most cost-effective way to analyze access patterns. This option requires minimal setup and allows for quick analysis of the access patterns with SQL queries. Additionally, Amazon Athena scales automatically to match the query load, so there is no need for additional infrastructure provisioning or management.

NEW QUESTION # 369
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. 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.
B. Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.
C. Modify the on-premises application to send log information back to API Gateway with 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 upload those segments to X-Ray during each request.

Answer: A,D

NEW QUESTION # 370
A company uses AWS Directory Service for Microsoft Active Directory as its identity provider (IdP). The company requires all infrastructure to be defined and deployed by AWS CloudFormation.
A DevOps engineer needs to create a fleet of Windows-based Amazon EC2 instances to host an application. The DevOps engineer has created a CloudFormation template that contains an EC2 launch template, IAM role, EC2 security group, and EC2 Auto Scaling group. The DevOps engineer must implement a solution that joins all EC2 instances to the domain of the AWS Managed Microsoft AD directory.
Which solution will meet these requirements with the MOST operational efficiency?

A. In the CloudFormation template, update the launch template to include specific tags that propagate on launch. Create an AWS::SSM::Association resource to associate the AWS-JoinDirectoryServiceDomain Automation runbook with the EC2 instances that have the specified tags. Define the required parameters to join the AWS Managed Microsoft AD directory. Attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed policies to the IAM role that the EC2 instances use.
B. In the CloudFormation template, create an AWS::SSM::Document resource that joins the EC2 instance to the AWS Managed Microsoft AD domain by using the parameters for the existing directory. Update the launch template to include the SSMAssociation property to use the new SSM document. Attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed policies to the IAM role that the EC2 instances use.
C. Store the existing AWS Managed Microsoft AD domain administrator credentials in AWS Secrets Manager. In the CloudFormation template, update the EC2 launch template to include user data. Configure the user data to pull the administrator credentials from Secrets Manager and to join the AWS Managed Microsoft AD domain. Attach the AmazonSSMManagedlnstanceCore and SecretsManagerReadWrite AWS managed policies to the IAM role that the EC2 instances use.
D. Store the existing AWS Managed Microsoft AD domain connection details in AWS Secrets Manager. In the CloudFormation template, create an AWS::SSM::Association resource to associate the AWS-CreateManagedWindowslnstanceWithApproval Automation runbook with the EC2 Auto Scaling group. Pass the ARNs for the parameters from Secrets Manager to join the domain. Attach the AmazonSSMDirectoryServiceAccess and SecretsManagerReadWrite AWS managed policies to the IAM role that the EC2 instances use.

Answer: A

Explanation:
To meet the requirements, the DevOps engineer needs to create a solution that joins all EC2 instances to the domain of the AWS Managed Microsoft AD directory with the most operational efficiency. The DevOps engineer can use AWS Systems Manager Automation to automate the domain join process using an existing runbook called AWS-JoinDirectoryServiceDomain. This runbook can join Windows instances to an AWS Managed Microsoft AD or Simple AD directory by using PowerShell commands. The DevOps engineer can create an AWS::SSM::Association resource in the CloudFormation template to associate the runbook with the EC2 instances that have specific tags. The tags can be defined in the launch template and propagated on launch to the EC2 instances. The DevOps engineer can also define the required parameters for the runbook, such as the directory ID, directory name, and organizational unit. The DevOps engineer can attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed policies to the IAM role that the EC2 instances use. These policies grant the necessary permissions for Systems Manager and Directory Service operations.

NEW QUESTION # 371
......

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