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AWS DevOps Engineer Professional Exam Practice Questions – 3

Posted on June 15, 2020 By DesiBanjara No Comments on AWS DevOps Engineer Professional Exam Practice Questions – 3

Amazon AWS DevOps Engineer Professional Exam Practice Questions

Below are some Free practice questions for Amazon AWS DevOps Engineer Professional Exam which can help you to prepare for exam and pass with good marks. These are not real exam questions but similar to the questions you can get in exam so practicing these question will boost your confidence.

Question -14

A Developer is designing a continuous deployment workflow for a new Development team to facilitate the process for source code promotion in AWS. Developers would like to store and promote code for deployment from development to production while maintaining the ability to roll back that deployment if it fails.
Which design will incur the LEAST amount of downtime?

  1. Create one repository in AWS CodeCommit. Create a development branch to hold merged changes. Use AWS CodeBuild to build and test the code stored in the development branch triggered on a new commit. Merge to the master and deploy to production by using AWS CodeDeploy for a blue/green deployment.
  2. Create one repository for each Developer in AWS CodeCommit and another repository to hold the production code. Use AWS CodeBuild to merge development and production repositories, and deploy to production by using AWS CodeDeploy for a blue/green deployment.
  3. Create one repository for development code in AWS CodeCommit and another repository to hold the production code. Use AWS CodeBuild to merge development and production repositories, and deploy to production by using AWS CodeDeploy for a blue/green deployment.
  4. Create a shared Amazon S3 bucket for the Development team to store their code. Set up an Amazon CloudWatch Events rule to trigger an AWS Lambda function that deploys the code to production by using AWS CodeDeploy for a blue/green deployment.

Correct Answer: A




Question -15

A DevOps Engineer discovered a sudden spike in a website’s page load times and found that a recent deployment occurred. A brief diff of the related commit shows that the URL for an external API call was altered and the connecting port changed from 80 to 443. The external API has been verified and works outside the application. The application logs show that the connection is now timing out, resulting in multiple retries and eventual failure of the call.
Which debug steps should the Engineer take to determine the root cause of the issue?

  1. Check the VPC Flow Logs looking for denies originating from Amazon EC2 instances that are part of the web Auto Scaling group. Check the ingress security group rules and routing rules for the VPC.
  2. Check the existing egress security group rules and network ACLs for the VPC. Also check the application logs being written to Amazon CloudWatch Logs for debug information.
  3. Check the egress security group rules and network ACLs for the VPC. Also check the VPC flow logs looking for accepts originating from the web Auto Scaling group.
  4. Check the application logs being written to Amazon CloudWatch Logs for debug information. Check the ingress security group rules and routing rules for the VPC.

Correct Answer: C




Question -16

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?

  1. 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.
  2. 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.
  3. 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.
  4. 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.

Correct Answer: D




Question -17

A company is using several AWS CloudFormation templates for deploying infrastructure as code. In most of the deployments, the company uses Amazon EC2
Auto Scaling groups. A DevOps Engineer needs to update the AMIs for the Auto Scaling group in the template if newer AMIs are available.
How can these requirements be met?

  1. Manage the AMI mappings in the CloudFormation template. Use Amazon CloudWatch Events for detecting new AMIs and updating the mapping in the template. Reference the map in the launch configuration resource block.
  2. Use conditions in the AWS CloudFormation template to check if new AMIs are available and return the AMI ID. Reference the returned AMI ID in the launch configuration resource block.
  3. Use an AWS Lambda-backed custom resource in the template to fetch the AMI IDs. Reference the returned AMI ID in the launch configuration resource block.
  4. Launch an Amazon EC2 m4.small instance and run a script on it to check for new AMIs. If new AMIs are available, the script should update the launch configuration resource block with the new AMI ID.

Correct Answer: C

“By using custom resources and AWS Lambda (Lambda), you can create a function that gets the IDs of the latest AMIs for the region and instance type that you’re using so that you don’t have to maintain mappings.”

Reference:

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/walkthrough-custom-resources-lambda-lookup-amiids.html


Previous->AWS DevOps Engineer Professional Exam Practice Questions – 2

Next->AWS DevOps Engineer Professional Exam Practice Questions – 4



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