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| 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. Design RTO and RPO based DR solutions
- 2. Implement multi-region active-active architectures
- 3. Implement backup and restore mechanisms
- 4. Implement pilot light and warm standby architectures
- Implement data backup and restore strategies
- 1. Design point-in-time recovery solutions
- 2. Implement validation testing for backups
- 3. Implement cross-region replication
|
| Configuration Management and Infrastructure as Code | 22% | - Design and implement data management strategies
- 1. Implement data lifecycle management
- 2. Design backup and recovery solutions
- 3. Implement database migration strategies
- Design and implement configuration management
- 1. Implement parameter management (AWS Parameter Store, Secrets Manager)
- 2. Implement AWS Systems Manager for configuration management
- 3. Design patch management strategies
- 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 infrastructure as code
- 1. Design for scalability and repeatability
- 2. Implement modular and reusable infrastructure components
- 3. Develop IaC templates (AWS CloudFormation, Terraform)
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
- 1. Design cost optimization through policies
- 2. Implement tagging policies and resource grouping
- 3. Implement approval workflows and automation
- Design and implement preventive and detective controls
- 1. Design and implement security baselines
- 2. Implement drift detection and remediation
- 3. Implement AWS Organizations and SCPs
|
| SDLC Automation | 22% | - Design and implement source code management strategies
- 1. Implement repository configurations and hooks
- 2. Determine branching strategies
- 3. Design code review and approval processes
- Design build and test environments
- 1. Design test automation frameworks
- 2. Integrate security scanning and compliance checks
- 3. Implement build environments (isolated, reproducible)
- 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. Implement automated incident detection
- 2. Implement automated response playbooks
- 3. Design event aggregation and correlation
- Design and implement chaos engineering practices
- 1. Analyze system behavior under failure conditions
- 2. Implement fault injection experiments (AWS Fault Injection Simulator)
- 3. Design resilience testing strategies
|
| Monitoring and Logging | 12% | - 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)
- Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Design runbook automation
- 3. Create alarm notification strategies
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q387-Q392):
NEW QUESTION # 387
A highly regulated company has a policy that DevOps engineers should not log in to their Amazon EC2 instances except in emergencies. It a DevOps engineer does log in the security team must be notified within 15 minutes of the occurrence.
Which solution will meet these requirements'?
- A. Install the Amazon Inspector agent on each EC2 instance Subscribe to Amazon EventBridge notifications Invoke an AWS Lambda function to check if a message is about user logins If it is send a notification to the security team using Amazon SNS.
- B. Install the Amazon CloudWatch agent on each EC2 instance Configure the agent to push all logs to Amazon CloudWatch Logs and set up a CloudWatch metric filter that searches for user logins. If a login is found send a notification to the security team using Amazon SNS.
- C. Set up AWS CloudTrail with Amazon CloudWatch Logs. Subscribe CloudWatch Logs to Amazon Kinesis Attach AWS Lambda to Kinesis to parse and determine if a log contains a user login If it does, send a notification to the security team using Amazon SNS.
- D. Set up a script on each Amazon EC2 instance to push all logs to Amazon S3 Set up an S3 event to invoke an AWS Lambda function which invokes an Amazon Athena query to run. The Athena query checks tor logins and sends the output to the security team using Amazon SNS.
Answer: B
Explanation:
Explanation
https://aws.amazon.com/blogs/security/how-to-monitor-and-visualize-failed-ssh-access-attempts-to-amazon-ec2-
NEW QUESTION # 388
A DevOps engineer is working on a member account in an organization in AWS Organizations with all features enabled. The account has sensitive data stored in Amazon S3 buckets.
The DevOps engineer must ensure that all public access to S3 buckets in the account is blocked. If the account-level public access settings change in the future, the changes must be reverted automatically so that all public access is blocked again.
Which solution meets these requirements?
- A. Enable Amazon Macie in the account. Create an Amazon EventBridge rule with an event pattern that matches Macie policy findings. Configure the rule with an EventBridge target to run a predefined AWS Systems Manager runbook to configure S3 block public access settings.
- B. In the organization ' s management account, create an SCP that denies S3 actions from outside the AWS account. Attach the SCP to the member account.
- C. Enable AWS Security Hub in the account. Enable the Security Hub control to evaluate the account- level block public access settings. Enable automated remediation for the Security Hub control.
- D. Set up AWS Config in the account. Create an AWS Config managed rule that evaluates the S3 block public access settings. Enable automated remediation for the rule by using a predefined AWS Systems Manager runbook to configure S3 block public access settings.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
The correct answer is B because AWS Config can continuously evaluate the account-level S3 Block Public Access configuration by using a managed rule. When the configuration becomes noncompliant, AWS Config can trigger automatic remediation through an AWS Systems Manager Automation runbook to restore the required settings.
This solution directly satisfies both requirements:
* Detect changes to account-level S3 public access settings.
* Automatically revert those changes so that all public access is blocked again.
Why the other options are incorrect:
A). Security Hub is primarily for aggregated security findings and controls visibility. It is not the most direct or standard service for continuous configuration evaluation with automatic remediation of this specific setting.
C). An SCP can restrict permissions, but it does not automatically detect and revert changes to S3 Block Public Access settings.
D). Amazon Macie is for discovering and protecting sensitive data, not for continuously enforcing and remediating S3 Block Public Access account settings.
NEW QUESTION # 389
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:
Whatchanges should be recommended to comply with AWS security best practices? (Select THREE.)
- A. Store thedb_passwordas a SecureString value in AWS Systems Manager Parameter Store and then remove thedb_passwordfrom the environment variables.
- B. Move the environment variables to the 'db.-deploy-bucket 'Amazon S3 bucket, add a prebuild stage to download then export the variables.
- C. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
- D. Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.
- E. 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.
Answer: A,C,D
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 # 390
A company has developed a serverless web application that is hosted on AWS. The application consists of Amazon S3. Amazon API Gateway, several AWS Lambda functions, and an Amazon RDS for MySQL database. The company is using AWS CodeCommit to store the source code. The source code is a combination of AWS Serverless Application Model (AWS SAM) templates and Python code.
A security audit and penetration test reveal that user names and passwords for authentication to the database are hardcoded within CodeCommit repositories. A DevOps engineer must implement a solution to automatically detect and prevent hardcoded secrets.
What is the MOST secure solution that meets these requirements?
- A. Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler().
Manually review the recommendation report. Write the secret to AWS Systems Manager Parameter Store as a secure string. Update the SAM templates and the Python code to pull the secret from Parameter Store. - B. Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler().
Manually review the recommendation report. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager. - C. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Write the secret to AWS Systems Manager Parameter Store as a string. Update the SAM templates and the Python code to pull the secret from Parameter Store.
- D. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.
Answer: D
Explanation:
https://docs.aws.amazon.com/codecommit/latest/userguide/how-to-amazon-codeguru-reviewer.html
NEW QUESTION # 391
A company is examining its disaster recovery capability and wants the ability to switch over its daily operations to a secondary AWS Region. The company uses AWS CodeCommit as a source control tool in the primary Region.
A DevOps engineer must provide the capability for the company to develop code in the secondary Region. If the company needs to use the secondary Region, developers can add an additional remote URL to their local Git configuration.
Which solution will meet these requirements?
- A. Create an AWS Cloud9 environment and a CodeCommit repository in the secondary Region. Configure the primary Region's CodeCommit repository as a remote repository in the AWS Cloud9 environment.Connect the secondary Region's CodeCommit repository to the AWS Cloud9 environment.
- B. Create a CodeCommit repository in the secondary Region. Create an AWS CodeBuild project to perform a Git mirror operation of the primary Region's CodeCommit repository to the secondary Region's CodeCommit repository. Create an AWS Lambda function that invokes the CodeBuild project. Create an Amazon EventBridge rule that reacts to merge events in the primary Region's CodeCommit repository. Configure the EventBridge rule to invoke the Lambda function.
- C. Create an Amazon S3 bucket in the secondary Region. Create an AWS Fargate task to perform a Git mirror operation of the primary Region's CodeCommit repository and copy the result to the S3 bucket.
Create an AWS Lambda function that initiates the Fargate task. Create an Amazon EventBridge rule that reacts to merge events in the CodeCommit repository. Configure the EventBridge rule to invoke the Lambda function. - D. Create an AWS CodeArtifact repository in the secondary Region. Create an AWS CodePipeline pipeline that uses the primary Region's CodeCommit repository for the sourceaction. Create a Cross- Region stage in the pipeline that packages the CodeCommit repository contents and stores the contents in the CodeArtifact repository when a pull request is merged into the CodeCommit repository.
Answer: B
Explanation:
The best solution to meet the disaster recovery capability and allow developers to switch over to a secondary AWS Region for code development is option A. This involves creating a CodeCommit repository in the secondary Region and setting up an AWS CodeBuild project to perform a Git mirror operation of the primary Region's CodeCommit repository to the secondary Region's repository. An AWS Lambda function is then created to invoke the CodeBuild project. Additionally, an Amazon EventBridge rule isconfigured to react to merge events in the primary Region's CodeCommit repository and invoke the Lambda function12. This setup ensures that the secondary Region's repository is always up-to-date with the primary repository, allowing for a seamless transition in case of a disaster recovery event1.
References:
* AWS CodeCommit User Guide on resilience and disaster recovery1.
* AWS Documentation on monitoring CodeCommit events in Amazon EventBridge and Amazon CloudWatch Events2.
NEW QUESTION # 392
......
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