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Amazon AWS-DevOps-Engineer-Professional Certification Cost | AWS-DevOps-Engineer-Professional Updated Dumps

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The AWS Certified DevOps Engineer - Professional (DOP-C01) exam is a professional-level certification that validates an individual's expertise in DevOps practices, tools and technologies on the Amazon Web Services (AWS) platform. AWS-DevOps-Engineer-Professional Exam is designed for experienced DevOps professionals who have a strong understanding of both software development and operations, and who are proficient in using AWS services to design, deploy and manage scalable and fault-tolerant applications.

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The AWS Certified DevOps Engineer - Professional certification exam is one of the most sought-after certifications in the industry, as it demonstrates a high level of expertise in DevOps practices and AWS services. AWS Certified DevOps Engineer - Professional certification is suitable for professionals who are responsible for managing and deploying applications on AWS, as well as those who are interested in pursuing a career in DevOps.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q428-Q433):

NEW QUESTION # 428
Amazon Inspector agent collects telemetry data during assessment run and sends this data to Amazon Inspector dedicated S3 bucket for analysis. How can you access telemetry data out of Amazon Inspector and how can you benefit from this data in securing your resources?

A. Telemetry data is stored in Amazon Inspector dedicated S3 bucket that does NOT belong to your account, Amazon Inspector currently does NOT provide an API or an S3 bucket access mechanism to collected telemetry. Data is retained temporarily only to allow for assistance with support requests.
B. Telemetry data is kept in S3 and encrypted with a pre-assessment test key configured in KMS, as long as you have access to that key you can download and decrypt telemetry data.
C. Telemetry data is saved on S3 bucket in your account, therefore telemetry data is accessible with proper permissions on that bucket.
D. Telemetry data is deleted immediately after assessment run, therefore data can NOT be accessed or analyzed by any other tools.

Answer: A

Explanation:
The telemetry data stored in S3 is retained only to allow for assistance with support requests and is not used or aggregated by Amazon for any other purpose. After 30 days, telemetry data is permanently deleted per a standard Amazon Inspector-dedicated S3 bucket lifecycle policy. At present, Amazon Inspector does not provide an API or an S3 bucket access mechanism to collected telemetry.
Reference:
https://docs.aws.amazon.com/inspector/latest/userguide/inspector_agents.html

NEW QUESTION # 429
From a compliance and security perspective, which of these statements is true?

A. You do not ever need to rotate access keys for AWS IAM Roles, nor AWS IAM Users.
B. None of the other statements are true.
C. You do not ever need to rotate access keys for AWS IAM Users.
D. You do not ever need to rotate access keys for AWS IAM Roles.

Answer: D

Explanation:
IAM Role Access Keys are auto-rotated by AWS on your behalf; you do not need to rotate them.
The application is granted the permissions for the actions and resources that you've defined for the role through the security credentials associated with the role. These security credentials are temporary and we rotate them automatically. We make new credentials available at least five minutes prior to the expiration of the old credentials.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html

NEW QUESTION # 430
Your company is using an Autoscaling Group to scale out and scale in instances. There is an expectation of a peak in traffic every Monday at 8am. The traffic is then expected to come down before the weekend on Friday
5pm. How should you configure Autoscaling in this?

A. Createdynamic scaling policies to scale up on Monday and scale down on Friday
B. Manuallyadd instances to the Autoscaling Group on Monday and remove them on Friday
C. CreateascheduledpolicytoscaleuponMondayandscaledownonFriday
D. Create a scheduled policy to scale up on Fridayand scale down on Monday

Answer: C

Explanation:
Explanation
The AWS Documentation mentions the following for Scheduled scaling
Scaling based on a schedule allows you to scale your application in response to predictable load changes. For example, every week the traffic to your web application starts to increase on Wednesday, remains high on Thursday, and starts to decrease on Friday. You can plan your scaling activities based on the predictable traffic patterns of your web application.
For more information on scheduled scaling for Autoscaling, please visit the below URL
* http://docs.aws.amazon.com/autoscaling/latest/userguide/sched
ule_time.html

NEW QUESTION # 431
A company has developed a Ruby on Rails content management platform. Currently, OpsWorks with several
stacks for dev, staging, and production is being used to deploy and manage the application. Now the company
wants to start using Python instead of Ruby. How should the company manage the new deployment? Choose
the correct answer from the options below

A. Create a new stack that contains the Python application code and manage separate deployments of the
application via the secondary stack using the deploy lifecycle action to implement the application code.
B. Create a new stack that contains the Python application code and manages separate deployments of the
application via the secondary stack.
C. Update the existing stack with Python application code and deploy the application using the deploy
life-cycle action to implement the application code.
D. Create a new stack that contains a new layer with the Python code. To cut over to the new stack the
company should consider using Blue/Green deployment

Answer: D

Explanation:
Explanation
Blue/green deployment is a technique for releasing applications by shifting traffic between two identical
environments running different versions of the application.
Blue/green deployments can mitigate common risks associated with deploying software, such as downtime
and rollback capability
Please find the below link on a white paper for blue green

deployments
* https://d03wsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

NEW QUESTION # 432
A company wants to migrate a legacy application to AWS and develop a deployment pipeline that uses AWS services only. A DevOps engineer is migrating all of the application code from a Git repository to AWS CodeCommit while preserving the history of the repository. The DevOps engineer has set all the permissions within CodeCommit, installed the Git client and the AWS CLI on a local computer, and is ready to migrate the repository.
Which actions will follow?

A. Create the CodeCommit repository using the AWS Management Console. Use the console to clone the Git repository into the CodeCommit repository. Validate that the files were migrated, and publish the CodeCommit repository.
B. Create the CodeCommit repository using the AWS Management Console. Clone both the Git and CodeCommit repositories to the local computer. Copy the files from the Git repository to the CodeCommit repository on the local computer. Commit the CodeCommit repertory. Validate that the files were migrated, and share the CodeCommit repository.
C. Create the CodeCommit repository using the AWS Management Console or the AWS CLI. Clone the Git repository with a mirror argument to the local computer and push the repository to CodeCommit. Validate that the files were migrated, and share the CodeCommit repository.
D. Create the CodeCommit repository using the AWS CLI. Clone the Git repository directly to CodeCommit using the AWS CLI. Validate that the files were migrated, and publish the CodeCommit repository.

Answer: B

NEW QUESTION # 433
......

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