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| Section | Weight | Objectives |
|---|
| Topic 1: 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. Implement approval workflows and automation
- 2. Implement tagging policies and resource grouping
- 3. Design cost optimization through policies
|
| Topic 2: Incident and Event Response | 18% | - Design and implement event and incident management
- 1. Implement automated response playbooks
- 2. Implement automated incident detection
- 3. Design event aggregation and correlation
- 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
|
| Topic 3: 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
- Implement data backup and restore strategies
- 1. Implement cross-region replication
- 2. Design point-in-time recovery solutions
- 3. Implement validation testing for backups
- Design and implement disaster recovery strategies
- 1. Implement multi-region active-active architectures
- 2. Design RTO and RPO based DR solutions
- 3. Implement backup and restore mechanisms
- 4. Implement pilot light and warm standby architectures
|
| Topic 4: Monitoring and Logging | 12% | - Design and implement alerting and incident management
- 1. Design runbook automation
- 2. Implement automated incident response
- 3. Create alarm notification strategies
- Design and implement monitoring and observability strategies
- 1. Design custom metrics and alarms (Amazon CloudWatch)
- 2. Implement log aggregation and analysis
- 3. Implement distributed tracing (AWS X-Ray)
|
| Topic 5: 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 infrastructure as code
- 1. Design for scalability and repeatability
- 2. Develop IaC templates (AWS CloudFormation, Terraform)
- 3. Implement modular and reusable infrastructure components
- Design and implement configuration management
- 1. Design patch management strategies
- 2. Implement AWS Systems Manager for configuration management
- 3. Implement parameter management (AWS Parameter Store, Secrets Manager)
- Design and implement data management strategies
- 1. Design backup and recovery solutions
- 2. Implement database migration strategies
- 3. Implement data lifecycle management
|
| Topic 6: 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. Determine branching strategies
- 2. Implement repository configurations and hooks
- 3. Design code review and approval processes
- Design and implement CI/CD pipelines
- 1. Develop CI/CD pipelines considering testing and security requirements
- 2. Design failure handling strategies
- 3. Implement deployment strategies (blue-green, canary, rolling)
- 4. Determine appropriate CI/CD pipeline architecture
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q84-Q89):
NEW QUESTION # 84
A DevOps engineer manages an AWS CodePipeline pipeline that builds and deploys a web application on AWS. The pipeline has a source stage, a build stage, and a deploy stage. When deployed properly, the web application responds with a 200 OK HTTP response code when the URL of the home page is requested. The home page recently returned a 503 HTTP response code after CodePipeline deployed the application. The DevOps engineer needs to add an automated test into the pipeline. The automated test must ensure that the application returns a 200 OK HTTP response code after the application is deployed. The pipeline must fail if the response code is not present during the test. The DevOps engineer has added a CheckURL stage after the deploy stage in the pipeline. What should the DevOps engineer do next to implement the automated test?
- A. Configure the CheckURL stage to use an Amazon CloudWatch action. Configure the action to use a canary synthetic monitoring check on the application URL and to report a success or failure to CodePipeline.
- B. Create an AWS Lambda function to check the response code status of the URL and to report a success or failure to CodePipeline. Configure an action in the CheckURL stage to invoke the Lambda function.
- C. Deploy an Amazon API Gateway HTTP API that checks the response code status of the URL and that reports success or failure to CodePipeline. Configure the CheckURL stage to use the AWS Device Farm test action and to provide the API Gateway HTTP API as an input artifact.
- D. Configure the CheckURL stage to use an AWS CodeDeploy action. Configure the action with an input artifact that is the URL of the application and to report a success or failure to CodePipeline.
Answer: B
NEW QUESTION # 85
A DevOps engineer is building a continuous deployment pipeline for a serverless application that uses AWS Lambda functions. The company wants to reduce the customer impact of an unsuccessful deployment. The company also wants to monitor for issues.
Which deploy stage configuration will meet these requirements?
- A. Use an AWS Serverless Application Model (AWS SAM) template to define the serverless application.
Use AWS CodeDeploy to deploy the Lambda functions with the Canary10Percent15Minutes Deployment Preference Type. Use Amazon CloudWatch alarms to monitor the health of the functions. - B. Use AWS CloudFormation to publish a new version on every stack update, and include Amazon CloudWatch alarms on all resources. Use the RoutingConfig property of the AWS::Lambda::Alias resource to update the traffic routing during the stack update.
- C. Use AWS CodeBuild to add sample event payloads for testing to the Lambda functions. Publish a new version of the functions, and include Amazon CloudWatch alarms. Update the production alias to point to the new version. Configure rollbacks to occur when an alarm is in the ALARM state.
- D. Use AWS CloudFormation to publish a new stack update, and include Amazon CloudWatch alarms on all resources. Set up an AWS CodePipeline approval action for a developer to verify and approve the AWS CloudFormation change set.
Answer: C
Explanation:
Explanation
Use routing configuration on an alias to send a portion of traffic to a second function version. For example, you can reduce the risk of deploying a new version by configuring the alias to send most of the traffic to the existing version, and only a small percentage of traffic to the new version.
https://docs.aws.amazon.com/lambda/latest/dg/configuration-aliases.html The following are the steps involved in the deploy stage configuration that will meet the requirements:
Use AWS CodeBuild to add sample event payloads for testing to the Lambda functions.
Publish a new version of the functions, and include Amazon CloudWatch alarms.
Update the production alias to point to the new version.
Configure rollbacks to occur when an alarm is in the ALARM state.
This configuration will help to reduce the customer impact of an unsuccessful deployment by deploying the new version of the functions to a staging environment first. This will allow the DevOps engineer to test the new version of the functions before deploying it to production.
The configuration will also help to monitor for issues by including Amazon CloudWatch alarms. These alarms will alert the DevOps engineer if there are any problems with the new version of the functions.
NEW QUESTION # 86
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:
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 # 87
A company's application is currently deployed to a single AWS Region. Recently, the company opened a new office on a different continent. The users in the new office are experiencing high latency. The company's application runs on Amazon EC2 instances behind an Application Load Balancer (ALB) and uses Amazon DynamoDB as the database layer. The instances run in an EC2 Auto Scaling group across multiple Availability Zones. A DevOps engineer is tasked with minimizing application response times and improving availability for users in both Regions.
Which combination of actions should be taken to address the latency issues? (Choose three.)
- A. Create Amazon Route 53 aliases, health checks, and failover routing policies to route to the ALB.
- B. Create new ALB and Auto Scaling group resources in the new Region and configure the new ALB to direct traffic to the new Auto Scaling group.
- C. Convert the DynamoDB table to a global table.
- D. Create Amazon Route 53 records, health checks, and latency-based routing policies to route to the ALB.
- E. Create a new DynamoDB table in the new Region with cross-Region replication enabled.
- F. Create new ALB and Auto Scaling group global resources and configure the new ALB to direct traffic to the new Auto Scaling group.
Answer: B,C,D
Explanation:
C) Create new ALB and Auto Scaling group resources in the new Region and configure the new ALB to direct traffic to the new Auto Scaling group. This will allow users in the new Region to access the application with lower latency by reducing the network hops between the user and the application servers.
D) Create Amazon Route 53 records, health checks, and latency-based routing policies to route to the ALB. This will enable Route 53 to route user traffic to the nearest healthy ALB, based on the latency between the user and the ALBs.
F) Convert the DynamoDB table to a global table. This will enable reads and writes to the table in both Regions with low latency, improving the overall response time of the application
NEW QUESTION # 88
A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review.
The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:

What changes should be recommended to comply with AWS security best practices? (Select THREE.)
- A. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
- B. Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.
- C. Move the environment variables to the 'db.-deploy-bucket 'Amazon S3 bucket, add a prebuild stage to download then export the variables.
- D. Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.
- E. Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.
Answer: A,D,E
Explanation:
B). Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable. C. Store the DB_PASSWORD as a SecureString value in AWS Systems Manager Parameter Store and then remove the DB_PASSWORD from the environment variables. E. Use AWS Systems Manager run command versus scp and ssh commands directly to the instance.
NEW QUESTION # 89
......
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