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Pdf AWS-DevOps-Engineer-Professional Dumps & Dumps AWS-DevOps-Engineer-Professional Vce

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The Amazon AWS-DevOps-Engineer-Professional Exam covers a broad range of topics related to DevOps, including continuous delivery and deployment, monitoring and logging, infrastructure as code, security, and compliance. AWS-DevOps-Engineer-Professional exam also covers the use of AWS services such as AWS CodePipeline, AWS CodeDeploy, AWS Elastic Beanstalk, AWS CloudFormation, AWS CloudTrail, and AWS Config.

The AWS-DevOps exam is a certification exam that is designed to validate the skills and knowledge of individuals in the field of DevOps engineering on Amazon Web Services (AWS) platform. DevOps is a software development methodology that emphasizes collaboration between development and operations teams to automate the delivery of software applications and infrastructure changes to the end-users. AWS Certified DevOps Engineer - Professional certification exam is intended for experienced DevOps engineers who have a deep understanding of AWS services and can design, deploy, and manage highly scalable, fault-tolerant, and secure applications and systems on AWS.

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Exam Details

If you want to obtain the Amazon AWS Certified DevOps Engineer – Professional certification, you should pass the DOP-C01 exam. The students will have 180 minutes to cover 75 questions that can be presented in the multiple-response and multiple-choice formats. The candidates are expected to get a minimum of 750 points to complete this test. Please note that Amazon DOP-C01 can be taken in different languages, such as Japanese, Simplified Chinese, Korean, and English. The individuals have to be ready to pay $300 that allows them to schedule and register for the exam. It is good to know that there are two ways of delivery. If you want to sit for your test from the comfort of your home or office, you can opt for a proctored option. On the other hand, the applicants can pass this exam at one of the AWS testing centers.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q185-Q190):

NEW QUESTION # 185
The AWS Code Deploy service can be used to deploy code from which of the below mentioned source repositories. Choose 3 answers from the options given below

A. Subversionrepositories
B. Bit bucket repositories
C. GitHubrepositories
D. S3Buckets

Answer: B,C,D

Explanation:
Explanation
The AWS documentation mentions the following
You can deploy a nearly unlimited variety of application content, such as code, web and configuration files, executables, packages, scripts, multimedia files, and so on. AWS CodeDeploy can deploy application content stored in Amazon S3 buckets, GitHub repositories, or Bitbucket repositories. You do not need to make changes to your existing code before you can use AWS CodeDeploy.
For more information on AWS Code Deploy, please refer to the below link:
* http://docs.aws.amazon.com/codedeploy/latest/userguide/welcome.html

NEW QUESTION # 186
You are experiencing performance issues writing to a DynamoDB table. Your system tracks high scores for video games on a marketplace. Your most popular game experiences all of the performance issues.
What is the most likely problem?

A. You selected the Game ID or equivalent identifier as the primary partition key for the table.
B. You did not provision enough read or write throughput to the table.
C. DynamoDB's vector clock is out of sync, because of the rapid growth in request for the most popular game.
D. Users of the most popular video game each perform more read and write requests than average.

Answer: A

Explanation:
The primary key selection dramatically affects performance consistency when reading or writing to DynamoDB. By selecting a key that is tied to the identity of the game, you forced DynamoDB to create a hotspot in the table partitions, and over-request against the primary key partition for the popular game. When it stores data, DynamoDB divides a table's items into multiple partitions, and distributes the data primarily based upon the partition key value. The provisioned throughput associated with a table is also divided evenly among the partitions, with no sharing of provisioned throughput across partitions.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuidelinesForTables.html# Guideli nesForTables.UniformWorkload

NEW QUESTION # 187
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. Using AWS CloudFormation, create a test stack for validating the code, and then deploy the code to each production Amazon EC2 instance.
B. Set up Amazon Route 53 health checks to fail over from any Amazon EC2 instance that is currently being deployed to.
C. 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.
D. 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.

Answer: C

Explanation:
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 # 188
Which of the below services can be used to deploy application code content stored in Amazon S3 buckets, GitHub repositories, or Bitbucket repositories

A. CodeDeploy
B. CodeCommit
C. Route53
D. S3Lifecycles

Answer: A

Explanation:
Explanation
The AWS documentation mentions
AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances or on-premises instances in your own facility.
For more information on Code Deploy please refer to the below link:
* http://docs.ws.amazon.com/codedeploy/latest/userguide/welcome.html

NEW QUESTION # 189
A DevOps Engineer is setting up a container-based architecture. The Engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the Engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.
How should the DevOps Engineer update the CloudFormation template to resolve this issue?

A. Reference the ECS cluster in the AWS::CloudFormation::CustomResource resource to trigger an AWS Lambda function that registers the EC2 instances with the appropriate ECS cluster.
B. Reference the EC2 instances in the AWS::ECS::Cluster resource and reference the ECS cluster in the AWS::ECS::Service resource.
C. Reference the ECS cluster in the AWS::EC2::Instance resource of the UserData property.
D. Reference the ECS cluster in the AWS::AutoScaling::LaunchConfiguration resource of the UserData property.

Answer: D

Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-as- launchconfig.html

NEW QUESTION # 190
......

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