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| Section | Weight | Objectives |
|---|
| High Availability and Disaster Recovery | 16% | - Design and implement disaster recovery strategies
- 1. Design RTO and RPO based DR solutions
- 2. Implement multi-region active-active architectures
- 3. Implement pilot light and warm standby architectures
- 4. Implement backup and restore mechanisms
- 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 high availability and scalability
- 1. Design multi-AZ and multi-region architectures
- 2. Implement load balancing and traffic management
- 3. Implement auto scaling strategies
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
- 1. Implement tagging policies and resource grouping
- 2. Implement approval workflows and automation
- 3. Design cost optimization through policies
- 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
|
| Configuration Management and Infrastructure as Code | 22% | - 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 data management strategies
- 1. Implement data lifecycle management
- 2. Implement database migration strategies
- 3. Design backup and recovery solutions
- 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
- Implement compliance and configuration monitoring
- 1. Implement AWS CloudTrail for auditing
- 2. Design remediation automation
- 3. Use AWS Config for compliance monitoring
|
| Incident and Event Response | 18% | - Design and implement event and incident management
- 1. Design event aggregation and correlation
- 2. Implement automated response playbooks
- 3. Implement automated incident detection
- Design and implement chaos engineering practices
- 1. Implement fault injection experiments (AWS Fault Injection Simulator)
- 2. Analyze system behavior under failure conditions
- 3. Design resilience testing strategies
|
| SDLC Automation | 22% | - Design and implement source code management strategies
- 1. Determine branching strategies
- 2. Design code review and approval processes
- 3. Implement repository configurations and hooks
- Design and implement CI/CD pipelines
- 1. Determine appropriate CI/CD pipeline architecture
- 2. Design failure handling strategies
- 3. Develop CI/CD pipelines considering testing and security requirements
- 4. Implement deployment strategies (blue-green, canary, rolling)
- Design build and test environments
- 1. Design test automation frameworks
- 2. Implement build environments (isolated, reproducible)
- 3. Integrate security scanning and compliance checks
|
| Monitoring and Logging | 12% | - Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Design runbook automation
- 3. Create alarm notification strategies
- Design and implement monitoring and observability strategies
- 1. Implement log aggregation and analysis
- 2. Design custom metrics and alarms (Amazon CloudWatch)
- 3. Implement distributed tracing (AWS X-Ray)
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q84-Q89):
NEW QUESTION # 84
A company uses an Amazon API Gateway regional REST API to host its application API. The REST API has a custom domain. The REST API's default endpoint is deactivated.
The company's internal teams consume the API. The company wants to use mutual TLS between the API and the internal teams as an additional layer of authentication.
Which combination of steps will meet these requirements? (Select TWO.)
- A. Use AWS Certificate Manager (ACM) to create a private certificate authority (CA). Provision a client certificate that is signed by the private CA.
- B. Upload the provisioned client certificate private key to an Amazon S3 bucket. Configure the API Gateway mutual TLS to use the private key that is stored in the S3 bucket as the trust store.
- C. Upload the provisioned client certificate to an Amazon S3 bucket. Configure the API Gateway mutual TLS to use the client certificate that is stored in the S3 bucket as the trust store.
- D. Provision a client certificate that is signed by a public certificate authority (CA). Import the certificate into AWS Certificate Manager (ACM).
- E. Upload the root private certificate authority (CA) certificate to an Amazon S3 bucket. Configure the API Gateway mutual TLS to use the private CA certificate that is stored in the S3 bucket as the trust store.
Answer: A,E
Explanation:
Explanation
Mutual TLS (mTLS) authentication requires two-way authentication between the client and the server. For Amazon API Gateway, you can enable mTLS for a custom domain name, which requires clients to present
X.509 certificates to verify their identity to access your API. To set up mTLS, you would typically use AWS Certificate Manager (ACM) to create a private certificate authority (CA) and provision a client certificate signed by this private CA. The root CA certificate is then uploaded to an Amazon S3 bucket and configured in API Gateway as the trust store12.
References:
* Introducing mutual TLS authentication for Amazon API Gateway1.
* Configuring mutual TLS authentication for a REST API2.
* AWS Private Certificate Authority details3.
* AWS Certificate Manager Private Certificate Authority updates4.
NEW QUESTION # 85
A growing company manages more than 50 accounts in an organization in AWS Organizations. The company has configured its applications to send logs to Amazon CloudWatch Logs.
A DevOps engineer needs to aggregate logs so that the company can quickly search the logs to respond to future security incidents. The DevOps engineer has created a new AWS account for centralized monitoring.
Which combination of steps should the DevOps engineer take to make the application logs searchable from the monitoring account? (Select THREE.)
- A. In the monitoring account, download an AWS CloudFormation template from CloudWatch to use in Organizations. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
- B. Create an IAM role in the monitoring account. Attach a trust policy that allows logs.amazonaws.com to perform the iam:CreateSink action if the aws:PrincipalOrgld property is equal to the organization ID.
- C. use CloudWatch Observability Access Manager in the monitoring account to create a sink. Allow logs to be shared with the monitoring account. Configure the monitoring account data selection to view the Observability data from the organization ID.
- D. Create an AWS CloudFormation template that defines an IAM role. Configure the role to allow logs-amazonaws.com to perform the logs:Link action if the aws:ResourceAccount property is equal to the monitoring account ID. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
- E. In the organization's management account, enable the logging policies for the organization.
- F. In the monitoring account, attach the CloudWatchLogsReadOnlyAccess AWS managed policy to an IAM role that can be assumed to search the logs.
Answer: B,D,F
Explanation:
Explanation
To aggregate logs from multiple accounts in an organization, the DevOps engineer needs to create a cross-account subscription1 that allows the monitoring account to receive log events from the sharing accounts.
To enable cross-account subscription, the DevOps engineer needs to create an IAM role in each sharing account that grants permission to CloudWatch Logs to link the log groups to the destination in the monitoring account2. This can be done using a CloudFormation template and StackSets3 to deploy the role to all accounts in the organization.
The DevOps engineer also needs to create an IAM role in the monitoring account that allows CloudWatch Logs to create a sink for receiving log events from other accounts4. The role must have a trust policy that specifies the organization ID as a condition.
Finally, the DevOps engineer needs to attach the CloudWatchLogsReadOnlyAccess policy5 to an IAM role in the monitoring account that can be used to search the logs from the cross-account subscription.
References: 1: Cross-account log data sharing with subscriptions 2: Create an IAM role for CloudWatch Logs in each sharing account 3: AWS CloudFormation StackSets 4: Create an IAM role for CloudWatch Logs in your monitoring account 5: CloudWatchLogsReadOnlyAccess policy
NEW QUESTION # 86
A company uses Amazon Redshift as its data warehouse solution. The company wants to create a dashboard to view changes to the Redshift users and the queries the users perform.
Which combination of steps will meet this requirement? (Select TWO.)
- A. Configure the Redshift cluster database audit logging to include user activity logs. Configure Amazon CloudWatch as the target.
- B. Create an Amazon CloudWatch log group. Create an AWS CloudTrail trail that writes to the CloudWatch log group.
- C. Create an AWS Lambda function that uses Amazon Athena to query the Redshift logs. Create an Amazon CloudWatch dashboard that has a custom widget type that uses the Lambda function.
- D. Create an Amazon CloudWatch dashboard that has a log widget. Configure the widget to display user details from the Redshift logs.
- E. Create a new Amazon S3 bucket. Configure default audit logging on the Redshift cluster. Configure the S3 bucket as the target.
Answer: D,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Amazon Redshift supportsaudit loggingwhich can be configured to log user activity, including queries and user changes. The logs can be delivered to anS3 bucket(Option B), which is the standard location for Redshift audit logs.
While Redshift can send some logs to CloudWatch, the native audit logging is typically routed to S3. Creating a CloudWatch dashboard with a log widget (Option D) allows visualization of user activities from logs ingested into CloudWatch Logs or through custom processing.
Option A is invalid because CloudTrail does not capture Redshift query logs directly. Option C incorrectly assumes Redshift audit logs can be delivered directly to CloudWatch. Option E adds complexity by requiring Lambda and Athena unnecessarily when direct visualization in CloudWatch is simpler.
References:
Amazon Redshift Audit Logging
Visualizing Logs with Amazon CloudWatch Dashboards
NEW QUESTION # 87
A company uses a series of individual Amazon Cloud Formation templates to deploy its multi-Region Applications. These templates must be deployed in a specific order. The company is making more changes to the templates than previously expected and wants to deploy new templates more efficiently. Additionally, the data engineering team must be notified of all changes to the templates.
What should the company do to accomplish these goals?
- A. Create an AWS Lambda function to deploy the Cloud Formation templates m the required order Use stack policies to alert the data engineering team.
- B. Implement CloudFormation StackSets and use drift detection to trigger update alerts to the data engineering team.
- C. Host the Cloud Formation templates in Amazon S3 Use Amazon S3 events to directly trigger CloudFormation updates and Amazon SNS notifications.
- D. Leverage CloudFormation nested stacks and stack sets (or deployments Use Amazon SNS to notify the data engineering team.
Answer: D
Explanation:
This solution will meet the requirements because it will use CloudFormation nested stacks and stack sets to deploy the templates more efficiently and consistently across multiple regions. Nested stacks allow the company to separate out common components and reuse templates, while stack sets allow the company to create stacks in multiple accounts and regions with a single template. The company can also use Amazon SNS to send notifications to the data engineering team whenever a change is made to the templates or the stacks. Amazon SNS is a service that allows you to publish messages to subscribers, such as email addresses, phone numbers, or other AWS services. By using Amazon SNS, the company can ensure that the data engineering team is aware of all changes to the templates and can take appropriate actions if needed. What is Amazon SNS? - Amazon Simple Notification Service
NEW QUESTION # 88
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 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.
- B. 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.
- C. Create a custom script to clear the cache. Specify the script in the BeforeInstall lifecycle hook in the AppSpec file.
- D. 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.
- E. 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.
- F. Use AWS Systems Manager to fetch the artifact from the S3 bucket and to deploy the artifact to all the EC2 instances.
Answer: A,B,C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
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 # 89
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