TRAINING AWS-DEVOPS-ENGINEER-PROFESSIONAL MATERIALS | AWS-DEVOPS-ENGINEER-PROFESSIONAL TEST SCORE REPORT

Training AWS-DevOps-Engineer-Professional Materials | AWS-DevOps-Engineer-Professional Test Score Report

Training AWS-DevOps-Engineer-Professional Materials | AWS-DevOps-Engineer-Professional Test Score Report

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The AWS-DevOps-Engineer-Professional certificate is one of the popular IT certificates. Success in the AWS-DevOps-Engineer-Professional credential examination enables you to advance your career at a rapid pace. You become eligible for many high-paying jobs with the AWS-DevOps-Engineer-Professional certification. To pass the AWS-DevOps-Engineer-Professional test on your first sitting, you must choose reliable AWS Certified DevOps Engineer - Professional exam study material. Don’t worry about AWS-DevOps-Engineer-Professional test preparation, because Test4Engine is offering AWS-DevOps-Engineer-Professional actual exam questions at an affordable price. Hundreds of IT aspirants have cracked the AWS-DevOps-Engineer-Professional examination by just preparing with our real test questions. If you also want to become a AWS-DevOps-Engineer-Professional certified without any anxiety, download Amazon updated test questions and start preparing today. These real AWS-DevOps-Engineer-Professional Dumps come in desktop practice exam software, web-based practice test, and AWS-DevOps-Engineer-Professional PDF document. Below are specifications of these three formats.

The DOP-C01 certification exam is intended for professionals who have at least two years of experience in implementing and managing AWS environments, as well as experience working with DevOps tools and technologies. Candidates for this certification exam should have a deep understanding of AWS services, including AWS Elastic Beanstalk, AWS CodeDeploy, AWS CloudFormation, AWS OpsWorks, and AWS CodePipeline, among others. Successful completion of this certification exam demonstrates to employers and clients that the candidate has the knowledge and skills to design, deploy, and manage DevOps solutions on the AWS platform.

Amazon DOP-C01 certification exam tests the candidate's skills and knowledge in various areas such as Continuous Integration and Deployment, Infrastructure as Code, Monitoring and Logging, Security, and Compliance. AWS-DevOps-Engineer-Professional Exam is designed to evaluate the candidate's ability to use various AWS tools and services to build and deploy applications and infrastructure in a secure and scalable manner.

Amazon AWS-DevOps-Engineer-Professional certification exam is designed to test the skills and knowledge of professionals working in the field of DevOps. AWS-DevOps-Engineer-Professional exam is intended for individuals who have experience in designing, deploying, and managing applications on the Amazon Web Services (AWS) platform. AWS Certified DevOps Engineer - Professional certification is intended to validate the candidate's expertise in DevOps practices and their ability to implement and manage continuous integration and delivery pipelines.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q144-Q149):

NEW QUESTION # 144
A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has 200 licenses and is planning to run 200 server nodes concurrently at most.
The company has requested the following features:
- A mechanism to automate the use of the licenses at scale.
- Creation of a dashboard to use in the future to verify which licenses are available at any moment.
What is the MOST effective way to accomplish these requirements'?

  • A. Upload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling litecycle hook, then use it to update the mapping after the instance is terminated.
  • B. Upload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated.
  • C. Upload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers.
    In the user data script, acquire an available license from the Mappings section. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
  • D. Upload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.

Answer: A

Explanation:
A dashboard to verify which licenses are available." is a key requirement. S3 and SQS won't provide you such a feature. "D" includes CLI scripts. CLI works in most cases, but it is never a right answer if an AWS native solution is available.


NEW QUESTION # 145
A defect was discovered in production and a new sprint item has been created for deploying a hotfix. However, any code change must go through the following steps before going into production: *Scan the code for security breaches, such as password and access key leaks. Run the code through extensive, long running unit tests. Which source control strategy should a DevOps Engineer use in combination with AWS CodePipeline to complete this process?

  • A. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch. Use AWS Lambda to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
  • B. Create a hotfix branch from the master branch. Create a separate source stage for the hotfix branch in the production pipeline. Trigger the pipeline from the hotfix branch. Use AWS Lambda to do a content scan and use AWS CodeBuild to run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
  • C. Create a hotfix tag on the last commit of the master branch. Trigger the development pipeline from the hotfix tag. Use AWS CodeDeploy with Amazon ECS to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix tag into the master branch.
  • D. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch. Use AWS CodeBuild to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.

Answer: D


NEW QUESTION # 146
You are managing an application that contains Go as the front end, MongoDB for document management and
is hosted on a relevant Web server. You pre-bake AMI'S with the latest version of the Web server, then user
the User Data section to setup the application. You now have a change to the underlying Operating system
version and need to deploy that accordingly. How can this be done in the easiest way possible.

  • A. Createa new EBS Volume with the relevant OS patches and attach it to the EC2lnstance.
  • B. Createa new pre-baked AM I with the new OS and use the User Data seciton to deploy theapplication.
  • C. Createa Cloudformation stack with the new AMI and then deploy the applicationaccordingly.
  • D. Createan Opswork stack with the new AMI and then deploy the application accordingly.

Answer: B

Explanation:
Explanation
The best way in this scenario is to continue the same deployment process which was being used and create a
new AMI and then use the User Data section to deploy the application.
For more information on AWS AMI's please see the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/AMIs.htmls


NEW QUESTION # 147
Your team wants to begin practicing continuous delivery using CloudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers. You have a 3-tier, mission-critical system. Which of the following is NOT a best practice for using CloudFormation in a continuous delivery environment?

  • A. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
  • B. Parametrize the template and use Mappings to ensure your template works in multiple Regions.
  • C. Use the AWS CloudFormation ValidateTemplate call before publishing changes to AWS.
  • D. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.

Answer: A

Explanation:
Explanation
Answer - B
Some of the best practices for Cloudformation are
* Created Nested stacks
As your infrastructure grows, common patterns can emerge in which you declare the same components in each of your templates. You can separate out these common components and create dedicated templates for them.
That way, you can mix and match different templates but use nested stacks to create a single, unified stack.
Nested stacks are stacks that create other stacks. To create nested stacks, use the AWS::CloudFormation::Stackresource in your template to reference other templates.
* Reuse Templates
After you have your stacks and resources set up, you can reuse your templates to replicate your infrastructure in multiple environments. For example, you can create environments for development, testing, and production so that you can test changes before implementing them into production. To make templates reusable, use the parameters, mappings, and conditions sections so that you can customize your stacks when you create them.
For example, for your development environments, you can specify a lower-cost instance type compared to your production environment, but all other configurations and settings remain the same. For more information on Cloudformation best practises, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html


NEW QUESTION # 148
Your social media marketing application has a component written in Ruby running on AWS Elastic Beanstalk.
This application component posts messages to social media sites in support of various marketing campaigns.
Your management now requires you to record replies to these social media messages to analyze the effectiveness of the marketing campaign in comparison to past and future efforts.
You' ve already developed a new application component to interface with the social media site APIs in order to read the replies.
Which process should you use to record the social media replies in a durable data store that can be accessed at any time for analysis of historical data?

  • A. Deploy the new application component in an Auto Scaling group of Amazon Elastic Compute Cloud (EC2) Instances, read the data from the social media sites, store it with Amazon Elastic Block Store, and use AWS Data Pipeline to publish it to Amazon Kinesis for analytics.
  • B. Deploy the new application component as an Amazon Elastic Beanstalk application, read the data from the social media site, store it with Amazon Elastic Block Store, and use Amazon Kinesis to stream the data to Amazon CloudWatch for analytics.
  • C. Deploy the new application component as an Elastic Beanstalk application, read the data from the social media sites, store it in Amazon DynamoDB, and use Apache Hive with Amazon Elastic MapReduce for analytics.
  • D. Deploy the new application component in an Auto Scaling group of Amazon EC2 instances, read the data from the social media sites, store it in Amazon Glacier, and use AWS Data Pipeline to publish it to Amazon Redshift for analytics.

Answer: C


NEW QUESTION # 149
......

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