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| Section | Weight | Objectives |
|---|
| Topic 1: Incident and Event Response | 18% | - Design and implement chaos engineering practices
- 1. Design resilience testing strategies
- 2. Implement fault injection experiments (AWS Fault Injection Simulator)
- 3. Analyze system behavior under failure conditions
- Design and implement event and incident management
- 1. Implement automated response playbooks
- 2. Implement automated incident detection
- 3. Design event aggregation and correlation
|
| Topic 2: High Availability and Disaster Recovery | 16% | - Implement data backup and restore strategies
- 1. Implement validation testing for backups
- 2. Implement cross-region replication
- 3. Design point-in-time recovery solutions
- 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. Design RTO and RPO based DR solutions
- 2. Implement backup and restore mechanisms
- 3. Implement pilot light and warm standby architectures
- 4. Implement multi-region active-active architectures
|
| Topic 3: Policies and Standards Automation | 10% | - Design and implement preventive and detective controls
- 1. Implement AWS Organizations and SCPs
- 2. Design and implement security baselines
- 3. Implement drift detection and remediation
- Design and implement governance strategies
- 1. Design cost optimization through policies
- 2. Implement approval workflows and automation
- 3. Implement tagging policies and resource grouping
|
| Topic 4: Configuration Management and Infrastructure as Code | 22% | - Implement compliance and configuration monitoring
- 1. Implement AWS CloudTrail for auditing
- 2. Use AWS Config for compliance monitoring
- 3. Design remediation automation
- Design and implement configuration management
- 1. Implement parameter management (AWS Parameter Store, Secrets Manager)
- 2. Design patch management strategies
- 3. Implement AWS Systems Manager for configuration management
- Design and implement data management strategies
- 1. Implement database migration strategies
- 2. Implement data lifecycle management
- 3. Design backup and recovery solutions
- 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
|
| Topic 5: Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
- 1. Implement log aggregation and analysis
- 2. Implement distributed tracing (AWS X-Ray)
- 3. Design custom metrics and alarms (Amazon CloudWatch)
- Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Design runbook automation
- 3. Create alarm notification strategies
|
| Topic 6: SDLC Automation | 22% | - Design and implement source code management strategies
- 1. Design code review and approval processes
- 2. Determine branching strategies
- 3. Implement repository configurations and hooks
- Design build and test environments
- 1. Design test automation frameworks
- 2. Implement build environments (isolated, reproducible)
- 3. Integrate security scanning and compliance checks
- Design and implement CI/CD pipelines
- 1. Design failure handling strategies
- 2. Implement deployment strategies (blue-green, canary, rolling)
- 3. Determine appropriate CI/CD pipeline architecture
- 4. Develop CI/CD pipelines considering testing and security requirements
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q405-Q410):
NEW QUESTION # 405
A company's development team uses AVMS Cloud Formation to deploy its application resources The team must use for an changes to the environment The team cannot use AWS Management Console or the AWS CLI to make manual changes directly.
The team uses a developer IAM role to access the environment The role is configured with the Admnistratoraccess managed policy. The company has created a new Cloudformationdeployment IAM role that has the following policy.
The company wants ensure that only CloudFormation can use the new role. The development team cannot make any manual changes to the deployed resources.
Which combination of steps meet these requirements? (Select THREE.)
- A. Add an IAM policy to CloudFormationDeplyment to allow cloudformation * on an Add a policy that allows the iam.PassR01e action for ARN of if iam PassedT0Service equal cloudformation.amazonaws.com
- B. Update the trust of CloudFormationDeployment role to allow the developer IAM role to assume the CloudFormationDepoyment role.
- C. Update the trust Of the CloudFormationDepoyment role to anow the cloudformation.amazonaws.com AWS principal to perform the iam:AssumeR01e action
- D. Remove the AdministratorAccess policy. Assign the ReadOnIyAccess managed IAM policy to the developer role. Instruct the developers to use the CloudFormationDeployment role as a CloudFormation service role when the developers deploy new stacks.
- E. Configure the IAM to be to get and pass the CloudFormationDeployment role ifcloudformation actions for resources,
- F. Remove me Administratoraccess policy. Assign the ReadOnly/Access managed IAM policy to the developer role Instruct the developers to assume the CloudFormatondeployment role when the developers new stacks
Answer: A,C,D
Explanation:
A comprehensive and detailed explanation is:
Option A is correct because removing the AdministratorAccess policy and assigning the ReadOnlyAccess managed IAM policy to the developer role is a valid way to prevent the developers from making any manual changes to the deployed resources. The AdministratorAccess policy grants full access to all AWS resources and actions, which is not necessary for the developers. The ReadOnlyAccess policy grants read-only access to most AWS resources and actions, which is sufficient for the developers to view the status of their stacks. Instructing the developers to use the CloudFormationDeployment role as a CloudFormation service role when they deploy new stacks is also a valid way to ensure that only CloudFormation can use the new role. A CloudFormation service role is an IAM role that allows CloudFormation to make calls to resources in a stack on behalf of the user1. The user can specify a service role when they create or update a stack, and CloudFormation will use that role's credentials for all operations that are performed on that stack1.
Option B is incorrect because updating the trust of CloudFormationDeployment role to allow the developer IAM role to assume the CloudFormationDeployment role is not a valid solution. This would allow the developers to manually assume the CloudFormationDeployment role and perform actions on the deployed resources, which is not what the company wants. The trust of CloudFormationDeployment role should only allow the cloudformation.amazonaws.com AWS principal to assume the role, as in option D.
Option C is incorrect because configuring the IAM user to be able to get and pass the CloudFormationDeployment role if cloudformation actions for resources is not a valid solution. This would allow the developers to manually pass the CloudFormationDeployment role to other services or resources, which is not what the company wants. The IAM user should only be able to pass the CloudFormationDeployment role as a service role when they create or update a stack with CloudFormation, as in option A.
Option D is correct because updating the trust of CloudFormationDeployment role to allow the cloudformation.amazonaws.com AWS principal to perform the iam:AssumeRole action is a valid solution. This allows CloudFormation to assume the CloudFormationDeployment role and access resources in other services on behalf of the user2. The trust policy of an IAM role defines which entities can assume the role2. By specifying cloudformation.amazonaws.com as the principal, you grant permission only to CloudFormation to assume this role.
Option E is incorrect because instructing the developers to assume the CloudFormationDeployment role when they deploy new stacks is not a valid solution. This would allow the developers to manually assume the CloudFormationDeployment role and perform actions on the deployed resources, which is not what the company wants. The developers should only use the CloudFormationDeployment role as a service role when they deploy new stacks with CloudFormation, as in option A.
Option F is correct because adding an IAM policy to CloudFormationDeployment that allows cloudformation:* on all resources and adding a policy that allows the iam:PassRole action for ARN of CloudFormationDeployment if iam:PassedToService equals cloudformation.amazonaws.com are valid solutions. The first policy grants permission for CloudFormationDeployment to perform any action with any resource using cloudformation.amazonaws.com as a service principal3. The second policy grants permission for passing this role only if it is passed by cloudformation.amazonaws.com as a service principal4. This ensures that only CloudFormation can use this role.
References:
1: AWS CloudFormation service roles
2: How to use trust policies with IAM roles
3: AWS::IAM::Policy
4: IAM: Pass an IAM role to a specific AWS service
NEW QUESTION # 406
A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?
- A. Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events (rom the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.
- B. Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
- C. Create a trail by using AWS CloudTrail with management events configured. Configure the trail to send the management events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
- D. Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events.
Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.
Answer: D
Explanation:
Step 1: Reacting to RDS Storage Autoscaling Events Using Amazon EventBridgeAmazon RDS emits events when storage autoscaling occurs. To visualize these events in a CloudWatch dashboard, you can create an EventBridge rule that listens for these specific autoscaling events.
Action: Create an EventBridge rule that reacts to RDS storage autoscaling events from the RDS event stream.
Why: EventBridge allows you to listen to RDS events and route them to specific AWS services for processing.
Step 2: Creating a Custom CloudWatch Metric via LambdaOnce the EventBridge rule detects a storage autoscaling event, you can use a Lambda function to publish a custom metric to CloudWatch. This metric can then be visualized in a CloudWatch dashboard.
Action: Use a Lambda function to publish custom metrics to CloudWatch based on the RDS storage autoscaling events.
Why: Custom metrics allow you to track specific events like autoscaling and visualize them easily on a CloudWatch dashboard.
Reference: AWS documentation on Publishing Custom Metrics to CloudWatch.
This corresponds to Option A: Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric.
Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.
NEW QUESTION # 407
A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository The deployment must have the following:
* Separate environment pipelines for testing and production
* Automatic deployment that occurs for test environments only
Which steps should be taken to meet these requirements'?
- A. Create an AWS CodeBuild configuration for test and production environments Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment Push the Lambda function code to an Amazon S3 bucket Set up the deployment step to deploy the Lambda functions from the S3 bucket.
- B. Create two AWS CodePipeline configurations for test and production environments Configure the production pipeline to have a manual approval step Create a CodeCommit repository for each environment Set up each CodePipeline to retrieve the source code from the appropriate repository Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
- C. Create two AWS CodePipeline configurations for test and production environments Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation
- D. Configure a new AWS CodePipelme service Create a CodeCommit repository for each environment Set up CodePipeline to retrieve the source code from the appropriate repository Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
Answer: C
Explanation:
The correct approach to meet the requirements for separate environment pipelines and automatic deployment for test environments is to create two AWS CodePipeline configurations, one for each environment. The production pipeline should have a manual approval step to ensure that changes are reviewed before being deployed to production. A single AWS CodeCommit repository with separate branches for each environment allows for organized and efficient code management. Each CodePipelineretrieves the source code from the appropriate branch in the repository. The deployment step utilizes AWS CloudFormation to deploy the Lambda functions, ensuring that the infrastructure as code is maintained and version-controlled.
References:
* AWS Lambda with Amazon API Gateway: Using AWS Lambda with Amazon API Gateway
* Tutorial on using Lambda with API Gateway: Tutorial: Using Lambda with API Gateway
* AWS CodePipeline automatic deployment: Set Up a Continuous Deployment Pipeline Using AWS CodePipeline
* Building a pipeline for test and production stacks: Walkthrough: Building a pipeline for test and production stacks
NEW QUESTION # 408
A company deploys updates to its Amazon API Gateway API several times a week by using an AWS CodePipeline pipeline. As part of the update process the company exports the JavaScript SDK for the API from the API. Gateway console and uploads the SDK to an Amazon S3 bucket The company has configured an Amazon CloudFront distribution that uses the S3 bucket as an origin Web client then download the SDK by using the CloudFront distribution's endpoint. A DevOps engineer needs to implement a solution to make the new SDK available automatically during new API deployments.
Which solution will meet these requirements?
- A. Create an Amazon EventBridge rule that reacts to Create. Deployment events from aws apigateway.Configure the rule to invoke an AWS Lambda function to download the SDK from API. Gateway upload the SDK to the S3 bucket and call the S3 API to invalidate the cache for the SDK path.
- B. Create a CodePipeline action immediately after the deployment stage of the API Configure the action to use the CodePipelme integration with API. Gateway to export the SDK to Amazon S3 Create another action that uses the CodePipeline integration with Amazon S3 to invalidate the cache for the SDK path.
- C. Create a CodePipeline action immediately after the deployment stage of the API. Configure the action to invoke an AWS Lambda function. Configure the Lambda function to download the SDK from API Gateway, upload the SDK to the S3 bucket and create a CloudFront invalidation for the SDK path.
- D. Create an Amazon EventBridge rule that reacts to UpdateStage events from aws apigateway Configure the rule to invoke an AWS Lambda function to download the SDK from API Gateway upload the SDK to the S3 bucket and call the CloudFront API to create an invalidation for the SDK path.
Answer: C
Explanation:
Explanation
This solution would allow the company to automate the process of updating the SDK and making it available to web clients. By adding a CodePipeline action immediately after the deployment stage of the API, the Lambda function will be invoked automatically each time the API is updated. The Lambda function should be able to download the new SDK from API Gateway, upload it to the S3 bucket and also create a CloudFront invalidation for the SDK path so that the latest version of the SDK is available for the web clients. This is the most straight forward solution and it will meet the requirements.
NEW QUESTION # 409
A company has containerized all of its in-house quality control applications. The company is running Jenkins on Amazon EC2 instances, which require patching and upgrading. The compliance officer has requested a DevOps engineer begin encrypting build artifacts since they contain company intellectual property.
What should the DevOps engineer do to accomplish this in the MOST maintainable manner?
- A. Deploy Jenkins to an Amazon ECS cluster and copy build artifacts to an Amazon S3 bucket with default encryption enabled.
- B. Use AWS CodeBuild with artifact encryption to replace the Jenkins instance running on EC2 instances.
- C. Leverage AWS CodePipeline with a build action and encrypt the artifacts using AWS Secrets Manager.
- D. Automate patching and upgrading using AWS Systems Manager on EC2 instances and encrypt Amazon EBS volumes by default.
Answer: B
Explanation:
Explanation
The following are the steps involved in accomplishing this in the most maintainable manner:
Use AWS CodeBuild with artifact encryption to replace the Jenkins instance running on EC2 instances.
Configure CodeBuild to encrypt the build artifacts using AWS Secrets Manager.
Deploy the containerized quality control applications to CodeBuild.
This approach is the most maintainable because it eliminates the need to manage Jenkins on EC2 instances.
CodeBuild is a managed service, so the DevOps engineer does not need to worry about patching or upgrading the service.
https://docs.aws.amazon.com/codebuild/latest/userguide/security-encryption.html Build artifact encryption - CodeBuild requires access to an AWS KMS CMK in order to encrypt its build output artifacts. By default, CodeBuild uses an AWS Key Management Service CMK for Amazon S3 in your AWS account. If you do not want to use this CMK, you must create and configure a customer-managed CMK. For more information Creating keys.
NEW QUESTION # 410
......
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