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| Section | Weight | Objectives |
|---|
| Configuration Management and Infrastructure as Code | 17% | - Manage infrastructure deployments
- 1. Manage multi-account and multi-region environments
- 2. Implement version control for configurations
- 3. Provision and update resources automatically
- Implement infrastructure as code
- 1. Manage templates and stacks
- 2. Enforce configuration standards
- 3. Use AWS CloudFormation, Terraform, or AWS CDK
- Automate configuration management
- 1. Use AWS Systems Manager, Ansible, or Puppet
- 2. Maintain consistent configurations
- 3. Detect and remediate configuration drift
|
| Resilient Cloud Solutions | 15% | - Ensure reliability and scalability
- 1. Optimize performance and cost
- 2. Design for fault tolerance
- 3. Manage capacity and elasticity
- Design high availability architectures
- 1. Implement auto scaling and load balancing
- 2. Multi-AZ and multi-region deployments
- 3. Use Route 53 for routing and failover
- Implement disaster recovery
- 1. Test and validate recovery plans
- 2. Backup and restore strategies
- 3. Pilot light, warm standby, and active-active
|
| Incident and Event Response | 14% | - Manage incidents and outages
- 1. Coordinate response and recovery
- 2. Troubleshoot complex issues
- 3. Document and learn from events
- Improve operational processes
- 1. Optimize response time and efficiency
- 2. Update runbooks and playbooks
- 3. Implement feedback loops
- Automate event management
- 1. Classify and prioritize events
- 2. Automate common operational tasks
- 3. Integrate with ticketing and workflow systems
|
| Security, Governance, and Compliance | 17% | - Enforce governance and compliance
- 1. Manage access and permissions at scale
- 2. Implement compliance rules and audits
- 3. Use AWS Config and AWS Organizations
- Implement security controls
- 1. Secure secrets and credentials
- 2. Encrypt data at rest and in transit
- 3. Manage IAM for pipelines and environments
- Automate security and compliance
- 1. Use AWS Security Hub and AWS Shield
- 2. Detect and remediate violations automatically
- 3. Integrate security into CI/CD pipelines
|
| SDLC Automation | 22% | - Automate software release processes
- 1. Automate rollback procedures
- 2. Implement deployment strategies
- 3. Manage artifacts and dependencies
- Implement CI/CD pipelines
- 1. Integrate version control systems
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 3. Automate build, test, and deployment stages
- Automate testing and validation
- 1. Unit, integration, and performance testing
- 2. Automate quality gates
- 3. Security and compliance testing
|
| Monitoring and Logging | 15% | - Automate incident response
- 1. Set up event-driven actions with Amazon EventBridge
- 2. Implement alerting and notification workflows
- 3. Automate remediation and scaling
- Implement logging and analysis
- 1. Centralize logs with CloudWatch Logs
- 2. Analyze logs for troubleshooting and security
- 3. Use AWS X-Ray for tracing
- Implement monitoring solutions
- 1. Monitor infrastructure, applications, and costs
- 2. Use Amazon CloudWatch for metrics and alarms
- 3. Create dashboards and insights
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q326-Q331):
NEW QUESTION # 326
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. Implement CloudFormation StackSets and use drift detection to trigger update alerts to the data engineering team.
- B. Create an AWS Lambda function to deploy the Cloud Formation templates m the required order Use stack policies to alert the data engineering team.
- C. Leverage CloudFormation nested stacks and stack sets (or deployments Use Amazon SNS to notify the data engineering team.
- D. Host the Cloud Formation templates in Amazon S3 Use Amazon S3 events to directly trigger CloudFormation updates and Amazon SNS notifications.
Answer: C
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 # 327
A company has an application that runs on Amazon EC2 instances that are in an Auto Scaling group. When the application starts up. the application needs to process data from an Amazon S3 bucket before the application can start to serve requests.
The size of the data that is stored in the S3 bucket is growing. When the Auto Scaling group adds new instances, the application now takes several minutes to download and process the data before the application can serve requests. The company must reduce the time that elapses before new EC2 instances are ready to serve requests.
Which solution is the MOST cost-effective way to reduce the application startup time?
- A. Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:
EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests. - B. Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state.
Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group.
Modify the application to complete the lifecycle hook when the application is ready to serve requests. - C. Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:
EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook and to place the new instance in the Standby state when the application is ready to serve requests. - D. Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state.
Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group.
Modify the application to complete the lifecycle hook when the application is ready to serve requests.
Answer: B
Explanation:
Option A is the most cost-effective solution. By configuring a warm pool of EC2 instances in the Stopped state, the company can reduce the time it takes for new instances to be ready to serve requests. When the Auto Scaling group launches a new instance, it can attach the stopped EC2 instance from the warm pool. The instance can then be started up immediately, rather than having to wait for the data to be downloaded and processed. This reduces the overall startup time for the application.
NEW QUESTION # 328
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. Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.
- 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. 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.
Answer: D
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 # 329
A company runs a web application that extends across multiple Availability Zones. The company uses an Application Load Balancer (ALB) for routing. AWS Fargate (or the application and Amazon Aurora for the application data The company uses AWS CloudFormation templates to deploy the application The company stores all Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository in the same AWS account and AWS Region.
A DevOps engineer needs to establish a disaster recovery (DR) process in another Region. The solution must meet an RPO of 8 hours and an RTO of 2 hours The company sometimes needs more than 2 hours to build the Docker images from the Dockerfile Which solution will meet the RTO and RPO requirements MOST cost-effectively?
- A. Copy the CloudFormation templates to an Amazon S3 bucket in the DR Region Configure Aurora automated backup Cross-Region Replication Configure ECR Cross-Region Replication. In case of DR use the CloudFormation template with the most recent Aurora snapshot and the Docker image from the local ECR repository to launch a new CloudFormation stack in the DR Region Update the application DNS records to point to the new ALB
- B. Copy the CloudFormation templates to an Amazon S3 bucket in the DR Region. Deploy a second application CloudFormation stack in the DR Region. Reconfigure Aurora to be a global database Update both CloudFormation stacks when a new application release in the current Region is needed. In case of DR. update, the application DNS records to point to the new ALB.
- C. Copy the CloudFormation templates to an Amazon S3 bucket in the DR Region. Use Amazon EventBridge to schedule an AWS Lambda function to take an hourly snapshot of the Aurora database and of the most recent Docker image in the ECR repository. Copy the snapshot and the Docker image to the DR Region in case of DR, use the CloudFormation template with the most recent Aurora snapshot and the Docker image from the local ECR repository to launch a new CloudFormation stack in the DR Region
- D. Copy the CloudFormation templates and the Dockerfile to an Amazon S3 bucket in the DR Region Use AWS Backup to configure automated Aurora cross-Region hourly snapshots In case of DR, build the most recent Docker image and upload the Docker image to an ECR repository in the DR Region Use the CloudFormation template that has the most recent Aurora snapshot and the Docker image from the ECR repository to launch a new CloudFormation stack in the DR Region Update the application DNS records to point to the new ALB
Answer: A
Explanation:
The most cost-effective solution to meet the RTO and RPO requirements is option B. This option involves copying the CloudFormation templates to an Amazon S3 bucket in the DR Region, configuring Aurora automated backup Cross-Region Replication, and configuring ECR Cross-Region Replication. In the event of a disaster, the CloudFormation template with the most recent Aurora snapshot and the Docker image from the local ECR repository can be used to launch a new CloudFormation stack in the DR Region. This approach avoids the need to build Docker images from the Dockerfile, which can sometimes take more than 2 hours, thus meeting the RTO requirement. Additionally, the use of automated backups and replication ensures that the RPO of 8 hours is met.
:
AWS Documentation on Disaster Recovery: Plan for Disaster Recovery (DR) - Reliability Pillar AWS Blog on Establishing RPO and RTO Targets: Establishing RPO and RTO Targets for Cloud Applications AWS Documentation on ECR Cross-Region Replication: Amazon ECR Cross-Region Replication AWS Documentation on Aurora Cross-Region Replication: Replicating Amazon Aurora DB Clusters Across AWS Regions
NEW QUESTION # 330
A DevOps engineer is planning to deploy a Ruby-based application to production. The application needs to interact with an Amazon RDS for MySQL database and should have automatic scaling and high availability. The stored data in the database is critical and should persist regardless of the state of the application stack.
The DevOps engineer needs to set up an automated deployment strategy for the application with automatic rollbacks. The solution also must alert the application team when a deployment fails.
Which combination of steps will meet these requirements? (Select THREE.)
- A. Configure a notification email address that alerts the application team in the AWS Elastic Beanstalk configuration.
- B. Use the immutable deployment method to deploy new application versions.
- C. Use the rolling deployment method to deploy new application versions.
- D. Deploy the application on AWS Elastic Beanstalk. Deploy an Amazon RDS for MySQL DB instance as part of the Elastic Beanstalk configuration.
- E. Deploy the application on AWS Elastic Beanstalk. Deploy a separate Amazon RDS for MySQL DB instance outside of Elastic Beanstalk.
- F. Configure an Amazon EventBridge rule to monitor AWS Health events. Use an Amazon Simple Notification Service (Amazon SNS) topic as a target to alert the application team.
Answer: B,E,F
Explanation:
For deploying a Ruby-based application with requirements for interaction with an Amazon RDS for MySQL database, automatic scaling, high availability, and data persistence, the following steps will meet the requirements:
B) Deploy the application on AWS Elastic Beanstalk. Deploy a separate Amazon RDS for MySQL DB instance outside of Elastic Beanstalk. This approach ensures that the database persists independently of the Elastic Beanstalk environment, which can be torn down and recreated without affecting the database123.
E) Use the immutable deployment method to deploy new application versions. Immutable deployments provide a zero-downtime deployment method that ensures that if any part of the deployment process fails, the environment is rolled back to the original state automatically4.
D) Configure an Amazon EventBridge rule to monitor AWS Health events. Use an Amazon Simple Notification Service (Amazon SNS) topic as a target to alert the application team. This setup allows for automated monitoring and alerting of the application team in case of deployment failures or other health events56.
Reference:
AWS Elastic Beanstalk documentation on deploying Ruby applications1.
AWS documentation on application auto-scaling7.
AWS documentation on automated deployment strategies with automatic rollbacks and alerts456.
NEW QUESTION # 331
......
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