AWS-DEVOPS-ENGINEER-PROFESSIONAL EXAM EXAM REVIEW- HIGH HIT RATE AWS-DEVOPS-ENGINEER-PROFESSIONAL LAB QUESTIONS PASS SUCCESS

AWS-DevOps-Engineer-Professional Exam Exam Review- High Hit Rate AWS-DevOps-Engineer-Professional Lab Questions Pass Success

AWS-DevOps-Engineer-Professional Exam Exam Review- High Hit Rate AWS-DevOps-Engineer-Professional Lab Questions Pass Success

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The AWS Certified DevOps Engineer - Professional certification is highly valued in the industry, and achieving this certification can open up many career opportunities for professionals. AWS Certified DevOps Engineer - Professional certification demonstrates to potential employers that an individual has the advanced technical skills and knowledge required to design and implement DevOps practices using AWS services. Additionally, this certification can also lead to higher salaries and promotions within an organization.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q490-Q495):

NEW QUESTION # 490
A company wants to use a grid system for a proprietary enterprise in-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes, an /etc./cluster/nodes. config file must be updated, listing the IP addresses of the current node members of that cluster The company wants to automate the task of adding new nodes to a cluster. What can a DevOps Engineer do to meet these requirements?

  • A. Create an Amazon S3 bucket and upload a version of the etc/cluster/ nodes.config file. Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager, such as Monit or systemd, to restart the cluster services when it detects that the new file was modified.
    When adding a node to the cluster, edit the file's most recent members. Upload the new file to the S3 bucket .
  • B. Put the file nodes.config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for the cluster nodes. When adding a new node to the cluster, update the file with all tagged instances, and make a commit in version control. Deploy the new file and restart the services.
  • C. Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/nodes.config file whenever a new instance is added to the cluster
  • D. Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the/etc/cluster/nodes config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.

Answer: B


NEW QUESTION # 491
You need to deploy an AWS stack in a repeatable manner across multiple environments. You have selected CloudFormation as the right tool to accomplish this, but have found that there is a resource type you need to create and model, but is unsupported by CloudFormation. How should you overcome this challenge?

  • A. Create a CloudFormation Custom Resource Type by implementing create, update, and delete functionality, either by subscribing a Custom Resource Provider to an SNS topic, or by implementing the logic in AWS Lambda.
  • B. Instead of depending on CloudFormation, use Chef, Puppet, or Ansible to author Heat templates, which are declarative stack resource definitions that operate over the OpenStack hypervisor and cloud environment.
  • C. Use a CloudFormation Custom Resource Template by selecting an API call to proxy for create, update, and delete actions. CloudFormation will use the AWS SDK, CLI, or API method of your choosing as the state transition function for the resource type you are modeling.
  • D. Submit a ticket to the AWS Forums. AWS extends CloudFormation Resource Types by releasing tooling to the AWS Labs organization on GitHub. Their response time is usually 1 day, and they complete requests within a week or two.

Answer: A

Explanation:
Custom resources provide a way for you to write custom provisioning logic in AWS CloudFormation template and have AWS CloudFormation run it during a stack operation, such as when you create, update or delete a stack. For more information, see Custom Resources.
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/template-custom- resources.html


NEW QUESTION # 492
Your application uses Cloud Formation to orchestrate your application's resources. During your testing phase before the application went live, your Amazon RDS instance type was changed and caused the instance to be re-created, resulting In the loss of test data. How should you prevent this from occurring in the future?

  • A. Within the AWS CloudFormation parameter with which users can select the Amazon RDS instance type, set AllowedValues to only contain the current instance type.
  • B. In the AWS CloudFormation template, set the AWS::RDS::DBInstance's DBInstanceClass property to be read-only.
  • C. Update the stack using ChangeSets
  • D. Subscribe to the AWS CloudFormation notification "BeforeResourcellpdate," and call CancelStackUpdate if the resource identified is the Amazon RDS instance.
  • E. Use an AWS CloudFormation stack policy to deny updates to the instance. Only allow UpdateStack permission to 1AM principals that are denied SetStackPolicy.

Answer: C

Explanation:
Explanation
When you need to update a stack, understanding how your changes will affect running resources before you implement them can help you update stacks with confidence. Change sets allow you to preview how proposed changes to a stack might impact your running resources, for example, whether your changes will delete or replace any critical resources, AWS CloudFormation makes the changes to your stack only when you decide to execute the change set, allowing you to decide whether to proceed with your proposed changes or explore other changes by creating another change set For example, you can use a change set to verify that AWS CloudFormation won't replace your stack's database instances during an update.


NEW QUESTION # 493
A company has microservices running in AWS Lambda that read data from Amazon DynamoDB.
The Lambda code is manually deployed by Developers after successful testing. The company now needs the tests and deployments be automated and run in the cloud. Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment. What solution meets all the requirements, ensuring the MOST developer velocity?

  • A. Create an AWS CodePipeline configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests. Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinear10PercentEvery3Minutes option.
  • B. Create an AWS CodeBuild configuration that triggers when the test code is pushed. Use AWS CloudFormation to trigger an AWS CodePipeline configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval.
  • C. Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version. Use an interval in the Lambda function to deploy the code over time at the required percentage.
  • D. Create an AWS CodePipeline configuration and set up a post-commit hook to trigger the pipeline after tests have passed. Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval.

Answer: A


NEW QUESTION # 494
A DevOps Engineer is architecting a continuous development strategy for a company's software as a service (SaaS) web application running on AWS. For application and security reasons, users subscribing to this application are distributed across multiple Application Load Balancers (ALBs), each of which has a dedicated Auto Scaling group and fleet of Amazon EC2 instances. The application does not require a build stage, and when it is committed to AWS CodeCommit, the application must trigger a simultaneous deployment to all ALBs, Auto Scaling groups, and EC2 fleets.
Which architecture will meet these requirements with the LEAST amount of configuration?

  • A. Create a single AWS CodePipeline pipeline that deploys the application in parallel using unique AWS CodeDeploy applications and deployment groups created for each ALB-Auto Scaling group pair.
  • B. Create a single AWS CodePipeline pipeline that deploys the application using a single AWS CodeDeploy application and single deployment group.
  • C. Create an AWS CodePipeline pipeline for each ALB-Auto Scaling group pair that deploys the application using an AWS CodeDeploy application and deployment group created for the same ALB-Auto Scaling group pair.
  • D. Create a single AWS CodePipeline pipeline that deploys the application in parallel using a single AWS CodeDeploy application and unique deployment group for each ALB-Auto Scaling group pair.

Answer: D

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployment-groups.html


NEW QUESTION # 495
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