Three Formats of Prep4sures's AWS-DevOps Exam Study Material

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We have three versions of our AWS-DevOps exam questions: the PDF, Software and APP online. Because our PDF version of the learning material is available for customers to print, so that your free time is fully utilized. Everything you do will help you pass the AWS-DevOps Exam and get your AWS-DevOps certificate. Of course, the APP and PC versions are also very popular. They can simulate the actual operation of the test environment, and users can perform mock tests for a limited time.

Amazon AWS-DevOps-Engineer-Professional Exam is designed for IT professionals who want to demonstrate their expertise in deploying, operating, and managing applications on the AWS platform using DevOps principles and practices. AWS Certified DevOps Engineer - Professional certification exam validates a candidate's technical skills and knowledge of AWS services, DevOps methodologies, and automation tools. It is an advanced-level exam that requires candidates to have hands-on experience in designing, deploying, and maintaining AWS-based applications and infrastructure.

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Are you anxious about the upcoming AWS-DevOps exam but has no idea about review? Don't give up and try AWS-DevOps exam questions. Our AWS-DevOps study material is strictly written by industry experts according to the exam outline. And our experts are so professional for they have beeen in this career for about ten years. With our AWS-DevOps Learning Materials, you only need to spend 20-30 hours to review before the exam and will pass it for sure.

To become an AWS Certified DevOps Engineer - Professional, candidates must have at least two years of experience working with AWS and a strong understanding of various AWS services such as EC2, S3, RDS, and Lambda. They should also have experience with DevOps practices such as Continuous Integration and Continuous Deployment (CI/CD), Infrastructure as Code (IaC), and Configuration Management.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q552-Q557):

NEW QUESTION # 552
When writing plays, tasks and playbooks, Ansible fully supports which high level language to describe these?

A. Python
B. YAML
C. XML
D. JSON

Answer: B

Explanation:
This can be bit of a trick question. While Ansible Playbooks in this course are written in YAML, Ansible will accept plays, tasks and playbooks in JSON, as JSON a subset of YAML. However, the prefered and fully supported method is YAML.
Reference: http://docs.ansible.com/ansible/YAMLSyntax.html

NEW QUESTION # 553
You've been tasked with improving the current deployment process by making it easier to deploy and reducing the time it takes. You have been tasked with creating a continuous integration (CI) pipeline that can build AMI'S. Which of the below is the best manner to get this done. Assume that at max your development team will be deploying builds 5 times a week.

A. Use a dedicated EC2 instance with an EBS Volume. Download and configure the code and then crate an AMI out of that.
B. Use OpsWorks to launch an EBS-backed instance, then use a recipe to bootstrap the instance, and then have the CI system use the Createlmage API call to make an AMI from it.
C. Have the CI system launch a new instance, then bootstrap the code and dependencies on that instance, and create an AMI using the Createlmage API call.
D. Upload the code and dependencies to Amazon S3, launch an instance, download the package from Amazon S3, then create the AMI with the CreateSnapshot API call

Answer: C

Explanation:
Explanation
Since the number of calls is just a few times a week, there are many open source systems such as Jenkins which can be used as CI based systems.
Jenkins can be used as an extensible automation server, Jenkins can be used as a simple CI server or turned into the continuous delivery hub for any project.
For more information on the Jenkins CI tool please refer to the below link:
* https://jenkins.io/
Option A and C are partially correct, but since you just have 5 deployments per week, having separate instances which consume costs is not required. Option B is partially correct, but again having a separate system such as Opswork for such a low number of deployments is not required.

NEW QUESTION # 554
A company wants to use Amazon ECS to provide a Docker container runtime environment. For compliance reasons, all Amazon EBS volumes used in the ECS cluster must be encrypted.
Rolling updates will be made to the cluster instances and the company wants the instances drained of all tasks before being terminated.
How can these requirements be met? (Select TWO.)

A. Copy the default AWS CloudFormation template that ECS uses to deploy cluster instances.
Modify the template resource EBS configuration setting to set `Encrypted: True' and include the AWS KMS alias:
`aws/ebs' to encrypt the AMI.
B. Create an IAM role that allows the action ECS::EncryptedImage. Configure the AWS CLI and a profile to use this role. Start the cluster using the AWS CLI providing the --use-encrypted-image and --kms-key arguments to the create-cluster ECS command.
C. Create an Auto Scaling lifecycle hook backed by an AWS Lambda function that uses the AWS SDK to mark a terminating instance as DRAINING. Prevent the lifecycle hook from completing until the running tasks on the instance are zero.
D. Use AWS CodePipeline to build a pipeline that discovers the latest Amazon-provided ECS AMI, then copies the image to an encrypted AMI outputting the encrypted AMI ID. Use the encrypted AMI ID when deploying the cluster.
E. Modify the default ECS AMI user data to create a script that executes docker rm {id} for all running container instances. Copy the script to the /etc/init.d/rc.d directory and execute chconfig enabling the script to run during operating system shutdown.

Answer: B,C

NEW QUESTION # 555
You recently encountered a major bug in your Windows-based web application during a deployment cycle.
During this failed deployment, it took the team four hours to roll back to a previously working state, which left customers with a poor user experience.
During the post-mortem, your team discussed the need to provide a quicker way to roll back failed deployments.
You currently run your web application on Amazon EC2 using Windows 2012R2 and use Elastic Load Balancing for your load balancing needs.
Which technique should you use to solve this problem?

A. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk application versions when deploying.
During failures, re-deploy the previous version to the Elastic Beanstalk environment.
B. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk API to trigger a FailedDeployment API call to initiate a rollback to the previous version.
C. Re-deploy your web application using an AWS OpsWorks stack, and use the AWS OpsWorks auto-rollback feature to initiate a rollback during failures.
D. Create deployable versioned bundles of your application. Store the bundles on Amazon S3.
Re-deploy your web application on Elastic Beanstalk, and enable the Elastic Beanstalk auto- rollback feature tied to CloudWatch metrics that define failure.
E. Create deployable versioned bundles of your application.
Store the bundle on Amazon S3. Re-deploy your web application using an AWS OpsWorks stack, and use AWS OpsWorks application versioning to initiate a rollback during failures.

Answer: A

NEW QUESTION # 556
You have written a server-side Node.Js application and a web application with an HTML/JavaScript front end that uses the Angular.js framework.
The server-side application connects to an Amazon Redshift cluster, issues queries, and then returns the results to the front end for display.
Your user base is very large and distributed, but it is important to keep the cost of running this application low.
Which deployment strategy is both technically valid and the most cost-effective?

A. Deploy an AWS OpsWorks stack with three layers: a static web server layer for your front end, a Node.js app server layer for your server-side application, and a Redshift DB layer for your Amazon Redshift duster.
B. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon S3 bucket.
Use AWS Elastic Beanstalk to deploy the Node.js application.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
C. Upload the HTML, CSS, images, and JavaScript for the front end, plus the Node.js code for the server-side application, to an Amazon S3 bucket.
Create a CloudFront distribution with this bucket as its origin.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
D. Deploy an AWS Elastic Beanstalk application with two environments: one for the Node.js application and another for the web front end.
Launch an Amazon Redshift cluster, and point your application to its Java Database Connectivity (JDBC) endpoint.
E. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon Simple Storage Service (S3) bucket.
Create an Amazon CloudFront distribution with this bucket as its origin. Use AWS Elastic Beanstalk to deploy the Node.js application.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.

Answer: E

NEW QUESTION # 557
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Three Formats of Prep4sures's AWS-DevOps Exam Study Material

Trusted Amazon AWS-DevOps: AWS Certified DevOps Engineer - Professional Reliable Test Materials - Newest Prep4sures Free AWS-DevOps Braindumps

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q552-Q557):

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