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| Section | Weight | Objectives |
|---|
| Configuration Management and Infrastructure as Code | 22% | - Implement compliance and configuration monitoring
- 1. Use AWS Config for compliance monitoring
- 2. Implement AWS CloudTrail for auditing
- 3. Design remediation automation
- Design and implement infrastructure as code
- 1. Implement modular and reusable infrastructure components
- 2. Develop IaC templates (AWS CloudFormation, Terraform)
- 3. Design for scalability and repeatability
- 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
- Design and implement data management strategies
- 1. Implement data lifecycle management
- 2. Design backup and recovery solutions
- 3. Implement database migration strategies
|
| SDLC Automation | 22% | - Design build and test environments
- 1. Integrate security scanning and compliance checks
- 2. Implement build environments (isolated, reproducible)
- 3. Design test automation frameworks
- Design and implement CI/CD pipelines
- 1. Design failure handling strategies
- 2. Develop CI/CD pipelines considering testing and security requirements
- 3. Implement deployment strategies (blue-green, canary, rolling)
- 4. Determine appropriate CI/CD pipeline architecture
- Design and implement source code management strategies
- 1. Determine branching strategies
- 2. Implement repository configurations and hooks
- 3. Design code review and approval processes
|
| 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. Design and implement security baselines
- 2. Implement AWS Organizations and SCPs
- 3. Implement drift detection and remediation
|
| 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
|
| High Availability and Disaster Recovery | 16% | - 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
- Implement data backup and restore strategies
- 1. Design point-in-time recovery solutions
- 2. Implement cross-region replication
- 3. Implement validation testing for backups
- 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
|
| 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 (Q439-Q444):
NEW QUESTION # 439
A DevOps administrator is configuring a repository to store a company's container images. The administrator needs to configure a lifecycle rule that automatically deletes container images that have a specific tag and that are older than 15 days. Which solution will meet these requirements with the MOST operational efficiency?
- A. Create a bucket in Amazon S3. Add a bucket lifecycle policy to expire old objects that have the matching tag after 15 days.
- B. Create an EC2 Image Builder container recipe. Add a build component to expire the container that has the matching tag after 15 days.
- C. Create a repository in AWS CodeArtifact. Add a repository policy to the CodeArtifact repository to expire old assets that have the matching tag after 15 days.
- D. Create a repository in Amazon Elastic Container Registry (Amazon ECR). Add a lifecycle policy to the repository to expire images that have the matching tag after 15 days.
Answer: D
NEW QUESTION # 440
A DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.
Which solution will meet these requirements'?
- A. Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to the standby instance if verification fails.
- B. Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database run integration tests, and drop the restored database after verification.
- C. Create a snapshot of the DB duster before deploying the application Use the Update requires Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.
- D. Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.
Answer: B
Explanation:
This solution will meet the requirements because it will create a temporary copy of the production database using a snapshot, run the integration tests on the copy, and delete the copy after the tests are done. This way, the production database will not be affected by the code revisions, and the DevOps team can test the changes before deploying them to production. A buildspec file is a YAML file that contains the commands and settings that CodeBuild uses to run a build1. The buildspec file can specify the steps to restore the DB cluster from a snapshot, run the integration tests, and drop the restored database2
NEW QUESTION # 441
A company is divided into teams Each team has an AWS account and all the accounts are in an organization in AWS Organizations. Each team must retain full administrative rights to its AWS account. Each team also must be allowed to access only AWS services that the company approves for use AWS services must gam approval through a request and approval process.
How should a DevOps engineer configure the accounts to meet these requirements?
- A. Use AWS CloudFormation StackSets to provision IAM policies in each account to deny access to restricted AWS services. In each account configure AWS Config rules that ensure that the policies are attached to IAM principals in the account.
- B. Create an SCP that allows access to only approved AWS services. Attach the SCP to the root OU of the organization. Remove the FullAWSAccess SCP from the root OU of the organization.
- C. Place all the accounts under a new top-level OU within the organization Create an SCP that denies access to restricted AWS services Attach the SCP to the OU.
- D. Use AWS Control Tower to provision the accounts into OUs within the organization Configure AWS Control Tower to enable AWS IAM identity Center (AWS Single Sign-On). Configure 1AM Identity Center to provide administrative access Include deny policies on user roles for restricted AWS services.
Answer: C
Explanation:
https://docs.aws.amazon.com/vpc/latest/userguide/managed-prefix-lists.html A managed prefix list is a set of one or more CIDR blocks. You can use prefix lists to make it easier to configure and maintain your security groups and route tables. https://docs.aws.amazon.com/vpc/latest/userguide/sharing-managed-prefix-lists.html With AWS Resource Access Manager (AWS RAM), the owner of a prefix list can share a prefix list with the following: Specific AWS accounts inside or outside of its organization in AWS Organizations An organizational unit inside its organization in AWS Organizations An entire organization in AWS Organizations
NEW QUESTION # 442
A company recently launched multiple applications that use Application Load Balancers. Application response time often slows down when the applications experience problems A DevOps engineer needs to Implement a monitoring solution that alerts the company when the applications begin to perform slowly The DevOps engineer creates an Amazon Simple Notification Semce (Amazon SNS) topic and subscribe the company's email address to the topic What should the DevOps engineer do next to meet the requirements?
- A. Create an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval Configure the Lambda function to publish a notification to the SNS topic when the applications return errors.
- B. Create an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports Configure the CloudWatch alarm to use the SNS topic
- C. Create an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval. Configure the canary to use the SNS topic when the applications return errors.
- D. Create an Amazon CloudWatch alarm that uses the AWS/AppljcabonELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports Configure the CloudWatch alarm to use the SNS topic.
Answer: C
Explanation:
Explanation
* Option A is incorrect because creating an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval is not a valid solution. EventBridge rules can only trigger Lambda functions based on events, not on time intervals. Moreover, querying the applications on a 5-minute interval might incur unnecessary costs and network overhead, and might not detect performance issues in real time.
* Option B is correct because creating an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval is a valid solution. CloudWatch Synthetics canaries are configurable scripts that monitor endpoints and APIs by simulating customer behavior.
Canaries can run as often as once per minute, and can measure the latency and availability of the applications. Canaries can also send notifications to an Amazon SNS topic when they detect errors or performance issues1.
* Option C is incorrect because creating an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution. The RequestCountPerTarget metric measures the number of requests completed or connections made per target in a target group2. This metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports is not a valid way to measure the application performance, as it depends on the application design and implementation.
* Option D is incorrect because creating an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution, for the same reason as option C. The RequestCountPerTarget metric does not reflect the application response time,
* which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports is not a valid way to measure the application performance, as it does not account for variability or outliers in the response time distribution.
References:
* 1: Using synthetic monitoring
* 2: Application Load Balancer metrics
NEW QUESTION # 443
A company deploys an application to Amazon EC2 instances. The application runs Amazon Linux 2 and uses AWS CodeDeploy. The application has the following file structure for its code repository:

The appspec.yml file has the following contents in the files section:

What will the result be for the deployment of the config.txt file?
- A. The config.txt file will be deployed to only /usr/local/src/config txt
- B. The config.txt file will be deployed to only /var/www/html/config/config txt
- C. The config.txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/config/config txt.
- D. The config txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/application/web/config txt
Answer: A
Explanation:
Deployment of config.txt file based on the appspec.yml:
The appspec.yml file specifies that config/config.txt should be copied to /usr/local/src/config.txt.
The source: / directive in the appspec.yml indicates that the entire directory structure starting from the root of the application source should be copied to the specified destination, which is /var/www/html.
Result of the Deployment:
The config.txt file will be specifically deployed to /usr/local/src/config.txt as per the explicit file mapping.
The entire directory structure including application/web will be copied to /var/www/html, but this does not include config/config.txt since it has a specific destination defined.
Thus, the config.txt file will be deployed only to /usr/local/src/config.txt.
Therefore, the correct answer is:
C . The config.txt file will be deployed to only /usr/local/src/config.txt.
Reference:
AWS CodeDeploy AppSpec File Reference
AWS CodeDeploy Deployment Process
NEW QUESTION # 444
......
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