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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q422-Q427):

NEW QUESTION # 422
A company has its AWS accounts in an organization in AWS Organizations. AWS Config is manually configured in each AWS account. The company needs to implement a solution to centrally configure AWS Config for all accounts in the organization The solution also must record resource changes to a central account.
Which combination of actions should a DevOps engineer perform to meet these requirements? (Choose two.)

A. Configure a delegated administrator account for AWS Config. Enable trusted access for AWS Config in the organization.
B. Create an AWS Config organization aggregator in the delegated administrator account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.
C. Configure a delegated administrator account for AWS Config. Create a service-linked role for AWS Config in the organization's management account.
D. Create an AWS Config organization aggregator in the organization's management account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.
E. Create an AWS CloudFormation template to create an AWS Config aggregator. Configure a CloudFormation stack set to deploy the template to all accounts in the organization.

Answer: A,B

Explanation:
https://aws.amazon.com/blogs/mt/org-aggregator-delegated-admin/ https://docs.aws.amazon.com
/organizations/latest/userguide/services-that-can-integrate-config.html

NEW QUESTION # 423
A company wants to deploy a workload on several hundred Amazon EC2 instances. The company will provision the EC2 instances in an Auto Scaling group by using a launch template.
The workload will pull files from an Amazon S3 bucket, process the data, and put the results into a different S3 bucket. The EC2 instances must have least-privilege permissions and must use temporary security credentials.
Which combination of steps will meet these requirements? (Select TWO.)

A. Update the launch template. Modify the user data to use the new secret key and token.
B. Create an IAM user that has the appropriate permissions for Amazon S3. Generate a secret key and token.
C. Create an IAM role that has the appropriate permissions for S3 buckets. Add the IAM role to an instance profile.
D. Create a trust anchor and profile. Attach the IAM role to the profile.
E. Update the launch template to include the IAM instance profile.

Answer: C,E

Explanation:
To meet the requirements of deploying a workload on several hundred EC2 instances with least-privilege permissions and temporary security credentials, the company should use an IAM role and an instance profile. An IAM role is a way to grant permissions to an entity that you trust, such as an EC2 instance. An instance profile is a container for an IAM role that you can use to pass role information to an EC2 instance when the instance starts. By using an IAM role and an instance profile, the EC2 instances can automatically receive temporary security credentials from the AWS Security Token Service (STS) and use them to access the S3 buckets. This way, the company does not need to manage or rotate any long-term credentials, such as IAM users or access keys.
To use an IAM role and an instance profile, the company should create an IAM role that has the appropriate permissions for S3 buckets. The permissions should allow the EC2 instances to read from the source S3 bucket and write to the destination S3 bucket. The company should also create a trust policy for the IAM role that specifies that EC2 is allowed to assume the role. Then, the company should add the IAM role to an instance profile. An instance profile can have only one IAM role, so the company does not need to create multiple roles or profiles for this scenario.
Next, the company should update the launch template to include the IAM instance profile. A launch template is a way to save launch parameters for EC2 instances, such as the instance type, security group, user data, and IAM instance profile. By using a launch template, the company can ensure that all EC2 instances in the Auto Scaling group have consistent configuration and permissions. The company should specify the name or ARN of the IAM instance profile in the launch template. This way, when the Auto Scaling group launches new EC2 instances based on the launch template, they will automatically receive the IAM role and its permissions through the instance profile.
The other options are not correct because they do not meet the requirements or follow best practices. Creating an IAM user and generating a secret key and token is not a good option because it involves managing long-term credentials that need to be rotated regularly. Moreover, embedding credentials in user data is not secure because user data is visible to anyone who can describe the EC2 instance. Creating a trust anchor and profile is not a valid option because trust anchors are used for certificate-based authentication, not for IAM roles or instance profiles. Modifying user data to use a new secret key and token is also not a good option because it requires updating user data every time the credentials change, which is not scalable or efficient.
:
1: AWS Certified DevOps Engineer - Professional Certification | AWS Certification | AWS
2: DevOps Resources - Amazon Web Services (AWS)
3: Exam Readiness: AWS Certified DevOps Engineer - Professional
4: IAM Roles for Amazon EC2 - AWS Identity and Access Management
5: Working with Instance Profiles - AWS Identity and Access Management
6: Launching an Instance Using a Launch Template - Amazon Elastic Compute Cloud
7: Temporary Security Credentials - AWS Identity and Access Management

NEW QUESTION # 424
A company is using AWS CodePipeline to automate its release pipeline. AWS CodeDeploy is being used in the pipeline to deploy an application to Amazon Elastic Container Service (Amazon ECS) using the blue/green deployment model. The company wants to implement scripts to test the green version of the application before shifting traffic. These scripts will complete in 5 minutes or less. If errors are discovered during these tests, the application must be rolled back.
Which strategy will meet these requirements?

A. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create a runtime environment and build commands in the buildspec file to invoke test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.
B. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to initiate rollback.
C. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test scripts. If errors are found, use the aws deploy stop-deployment CLI command to stop the deployment.
D. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to invoke an AWS Lambda function that will run the test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

Answer: B

NEW QUESTION # 425
A large company recently acquired a small company. The large company invited the small company to join the large company's existing organization in AWS Organizations as a new OU. A DevOps engineer determines that the small company needs to launch t3.small Amazon EC2 instance types for the company's application workloads. The small company needs to deploy the instances only within US-based AWS Regions. The DevOps engineer needs to use an SCP in the small company's new OU to ensure that the small company can launch only the required instance types. Which solution will meet these requirements?

A. Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.
B. Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.
C. Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.
D. Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.

Answer: D

NEW QUESTION # 426
A DevOps engineer is planning to use the AWS Cloud Development Kit (AWS CDK) to manage infrastructure as code (IaC) for a microservices-based application. The DevOps engineer must create reusable components for common infrastructure patterns and must apply the same cost allocation tags across different microservices.
Which solution will meet these requirements?

A. Create AWS Service Catalog products that contain common infrastructure components. Create a CDK app. Use the TagManager class to add cost allocation tags to the whole app. Use the Service Catalog products to write a higher-level construct that contains all the microservices. Deploy the microservices as a single CDK stack with environment-specific configurations.
B. Create AWS Service Catalog products that contain common infrastructure components. Create a CDK app. Use the Tags class to add cost allocation tags to the whole app. Use the Service Catalog products to write higher-level constructs for each microservice. Deploy the microservices as separate CDK stacks with environment-specific configurations.
C. Create a custom CDK construct library that includes common infrastructure patterns. Create a CDK app. Use the Tags class to add cost allocation tags to the whole app. Use the custom CDK construct library to write higher-level constructs for each microservice. Deploy the microservices as separate CDK stacks with environment-specific configurations.
D. Create a custom CDK construct library that includes common infrastructure patterns. Create a CDK app. Use the TagManager class to add cost allocation tags to the whole app. Use the custom CDK construct library to write a higher-level construct that contains all the microservices. Deploy the microservices as a single CDK stack with environment-specific configurations.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
Use custom constructs to encapsulate reusable patterns and deploy separate stacks per microservice for better isolation and environment-specific params. Apply tags programmatically at the app/stack/construct scope with Tags so all resources inherit them. This is the recommended CDK pattern to minimize duplication and maximize reusability.

NEW QUESTION # 427
......

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