AWS-DEVOPS-ENGINEER-PROFESSIONAL TESTDUMP, VALID AWS-DEVOPS-ENGINEER-PROFESSIONAL EXAM DISCOUNT

AWS-DevOps-Engineer-Professional Testdump, Valid AWS-DevOps-Engineer-Professional Exam Discount

AWS-DevOps-Engineer-Professional Testdump, Valid AWS-DevOps-Engineer-Professional Exam Discount

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The AWS-DevOps-Engineer-Professional Certification Exam is a rigorous and comprehensive assessment of a candidate's skills and knowledge in DevOps practices on the AWS platform. AWS Certified DevOps Engineer - Professional certification can help professionals advance their careers and demonstrate their expertise in cloud computing and DevOps practices.

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Exam Questions for Amazon AWS-DevOps-Engineer-Professional in PDF Format

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q408-Q413):

NEW QUESTION # 408
An n-tier application requires a table in an Amazon RDS MySQL DB instance to be dropped and repopulated at each deployment. This process can take several minutes and the web tier cannot come online until the process is complete. Currently, the web tier is configured in an Amazon EC2 Auto Scaling group, with instances being terminated and replaced at each deployment. The MySQL table is populated by running a SQL query through an AWS CodeBuild job.
What should be done to ensure that the web tier does not come online before the database is completely configured?

  • A. Modify the launch configuration of the Auto Scaling group to pause user data execution for 600 seconds, allowing the table to be populated.
  • B. Use an EC2 Auto Scaling lifecycle hook to pause the configuration of the web tier until the table is populated.
  • C. Use AWS Step Functions to monitor and maintain the state of data population. Mark the database in service before continuing with the deployment.
  • D. Use Amazon Aurora as a drop-in replacement for RDS MySQL. Use snapshots to populate the table with the correct data.

Answer: B


NEW QUESTION # 409
Your application is currently running on Amazon EC2 instances behind a load balancer. Your management has decided to use a Blue/Green deployment strategy. How should you implement this for each deployment?

  • A. Create a new load balancer with new Amazon EC2 instances, carry out the deployment, and then switch DNS over to the new load balancer using Amazon Route 53 after testing.
  • B. Launch more Amazon EC2 instances to ensure high availability, de-register each Amazon EC2 instance from the load balancer, upgrade it, and test it, and then register it again with the load balancer.
  • C. Set up Amazon Route 53 health checks to fail over from any Amazon EC2 instance that is currently being deployed to.
  • D. Using AWS CloudFormation, create a test stack for validating the code, and then deploy the code to each production Amazon EC2 instance.

Answer: A

Explanation:
The below diagram shows how this can be done

1) First create a new ELB
which will be used to point to the new production changes.
2) Use the Weighted Route policy for Route53 to distribute the traffic to the 2 ELB's based on a
80- 20% traffic scenario. This is the normal case, the % can be changed based on the requirement.
3) Finally when all changes have been tested, Route53 can be set to 100% for the new ELB.
Option A is incorrect because this is a failover scenario and cannot be used for Blue green deployments. In Blue Green deployments, you need to have 2 environments running side by side.
Option B is incorrect, because you need to a have a production stack with the changes which will run side by side.
Option D is incorrect because this is not a blue green deployment scenario.
You cannot control which users will go the new EC2 instances.
For more information on blue green deployments, please refer to the below document link: from AWS
https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf


NEW QUESTION # 410
An ecommerce company is looking for ways to deploy an application on AWS that satisfies the following requirements:
- Has a simple and automated application deployment process.
- Has minimal deployment costs while ensuring that at least half of the instances are available to receive end-user requests.
- If the application fails, an automated healing mechanism will replace the affected instances.
Which deployment strategy will meet these requirements?

  • A. Create an AWS Elastic Beanstalk environment and configure it to use Auto Scaling and an Elastic Load Balancer.
    Use rolling deployments with a batch size of 50%.
  • B. Use AWS CodeDeploy with Auto Scaling and an Elastic Load Balancer.
    Use the CodeDeployDefault.HalfAtAtime deployment strategy.
    Enable an Elastic Load Balancing health check to report the status of the application, and set the Auto Scaling health check to ELB.
  • C. Use AWS CodeDeploy with Auto Scaling and an Elastic Load Balancer.
    Use a blue/green deployment strategy.
    Enable an Elastic Load Balancing health check to report the status of the application, and set the Auto Scaling health check to ELB.
  • D. Create an AWS OpsWorks stack.
    Configure the application layer to use rolling deployments as a deployment strategy.
    Add an Elastic Load Balancing layer.
    Enable auto healing on the application layer.

Answer: B


NEW QUESTION # 411
An Engineering team manages a Node.js e-commerce application. The current environment consists of the following components:
* Amazon S3 buckets for storing content
* Amazon EC2 for the front-end web servers
* AWS Lambda for executing image processing
* Amazon DynamoDB for storing session-related data
The team expects a significant increase in traffic to the site. The application should handle the additional load without interruption. The team ran initial tests by adding new servers to the EC2 front-end to handle the larger load, but the instances took up to 20 minutes to become fully configured. The team wants to reduce this configuration time.
What changes will the Engineering team need to implement to make the solution the MOST resilient and highly available while meeting the expected increase in demand?

  • A. Configure Amazon CloudFront and have its origin point to Amazon S3 to host the web application.
    Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the CloudFront DNS name.
  • B. Deploy a fleet of EC2 instances, doubling the current capacity, and place them behind an Application Load Balancer. Increase the Amazon DynamoDB read and write capacity units. Add an alias record that contains the Application Load Balancer endpoint to the existing Amazon Route 53 DNS record that points to the application.
  • C. Use AWS OpsWorks to automatically configure each new EC2 instance as it is launched. Configure the EC2 instances by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Application Load Balancer.
  • D. Use AWS Elastic Beanstalk with a custom AMI including all web components. Deploy the platform by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Elastic Beanstalk load balancer.

Answer: D


NEW QUESTION # 412
An application runs on Amazon EC2 instances behind an Application Load Balancer. Amazon RDS MySOL is used on the backend. The instances run in an Auto Scaling group across multiple Availability Zones. The Application Load Balancer health check ensures the web servers are operating and able to make read/write SQL connections. Amazon Route 53 provides DNS functionality with a record pointing to the Application Load Balancer. A new policy requires a geographically isolated disaster recovery site with an RTO of 4 hours and an RPO of 15 minutes.
Which disaster recovery strategy will require the LEAST amount of changes to the application stack?

  • A. Launch a replica stack of everything except RDS in a different region. Create an RDS read-only replica in a new region and configure the new stack to point to the local RDS instance. Add the new stack to the Amazon Route 53 record set with a failover routing policy.
  • B. Launch a replica stack of everything except RDS in a different region. Upon failure, copy the snapshot over from the primary region to the disaster recovery region. Adjust the Amazon Route
    53 record set to point to the disaster recovery region's Application Load Balancer.
  • C. Launch a replica stack of everything except RDS in a different region. Create an RDS read-only replica in a new region and configure the new stack to point to the local RDS instance. Add the new stack to the Route 53 record set with a latency routing policy.
  • D. Launch a replica stack of everything except RDS in a different Availability Zone. Create an RDS read- only replica in a new Availability Zone and configure the new stack to point to the local RDS instance.
    Add the new stack to the Route 53 record set with a failover routing policy.

Answer: A


NEW QUESTION # 413
......

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