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There are many books that you can use to gain the required information for the exam. It is best if you use multiple resources as it gives you a good mix of knowledge. The study guides you can choose are listed below:

Continuous Delivery & DevOps – Quickstart by Paul Swartout
Implementing DevOps on AWS by Veselin Kantsev
Effective DevOps with AWS by Nathaniel Felson
AWS Automation Cookbook by NIkit Swaraj

The AWS Certified DevOps Engineer - Professional exam covers a wide range of topics, including continuous delivery and automation, monitoring and logging, security and compliance, infrastructure as code, and collaboration and communication. AWS-DevOps-Engineer-Professional Exam includes multiple-choice and multiple-response questions, and candidates have three hours to complete it. Passing AWS-DevOps-Engineer-Professional exam requires a deep understanding of AWS services, DevOps practices, and experience in implementing and managing them in complex environments.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q401-Q406):

NEW QUESTION # 401
For AWS Auto Scaling, what is the first transition state an instance enters after leaving steady state when scaling in due to health check failure or decreased load?

A. Detaching
B. EnteringStandby
C. Terminating
D. Terminating:Wait

Answer: C

Explanation:
When Auto Scaling responds to a scale in event, it terminates one or more instances. These instances are detached from the Auto Scaling group and enter the Terminating state.
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AutoScalingGroupLifecycle.html

NEW QUESTION # 402
A DevOps Engineer is building a continuous deployment pipeline for a serverless application using AWS CodePipeline and AWS CodeBuild. The source, build, and test stages have been created with the deploy stage remaining. The company wants to reduce the risk of an unsuccessful deployment by deploying to a specified subset of customers and monitoring prior to a full release to all customers. How should the deploy stage be configured to meet these requirements?

A. Use AWS CloudFormation to define the serverless application and AWS CodeDeploy to deploy the AWS Lambda functions using DeploymentPreference: Canary10Percentl5Minutes.
B. Use AWS CloudFormation to publish a new version on every stack update. Use the RoutingConfig property of the AWS : :Lambda: : Alias resource to update the traffic routing during the stack update.
C. Use CodeBuild to use the AWS CLI to update the AWS Lambda function code, then publish a new version of the function and update the production alias to point to the new version of the function.
D. Use AWS CloudFormation to publish a new version on every stack update. Then set up a CodePipeline approval action for a Developer to test and approve the new version. Finally, use a CodePipeline invoke action to update an AWS Lambda function to use the production alias

Answer: D

NEW QUESTION # 403
You're responsible for a popular file sharing application that uses Elastic Load Balancing to distribute traffic to an Amazon EC2 application tier deployed in an Auto Scaling group that runs across multiple Availability Zones.
You currently record the number of user file transfers to a log file on the application server, and then write data points from the logs to an Amazon RDS MySQL instance.
You aren't happy with how your application scales, and want to implement a new scaling policy based on the average number of user file transfers in a 10-minute period instead of average CPU utilization in the last five minutes.
What steps should you take to ensure that your application tier scales based on this new policy?
Choose 2 answers

A. Create a new Auto Scaling launch configuration that includes an Amazon EC2 user data script that installs a CloudWatch Logs Agent on newly launched instances in the application tier. The agent will be configured to stream the file transfers log tile to CloudWatch.
B. Create a new Auto Scaling launch configuration that includes an Amazon EC2 user data script that installs an Amazon RDS Logs Agent on newly launched instances in the application tier. The agent will be configured to stream the file transfer data points to the Auto Scaling group.
C. Create a new CloudWatch alarm based on the Elastic Load Balancing "RequestCount" metric that triggers an Auto Scaling action to scale the application tier.
D. Create a new CloudWatch alarm based on a custom metric streaming from the Amazon RDS MySQL instance that triggers an Auto Scaling action to scale the application tier.
E. Create a new CloudWatch alarm based on a custom metric published from file transfer logs streaming to CloudWatch that triggers an Auto Scaling action to scale the application tier.
F. Create a new Auto Scaling launch configuration for the application tier that scales based on an Auto Scaling policy that reads the file transfer log data from the Amazon RIDS MySQL instance.

Answer: A,E

NEW QUESTION # 404
A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scaling group of EC2 instances and a new Elastic Load Balancer, and then shifting the traffic away using an Amazon Route 53 weighted routing policy.
For its new serverless application, the company is planning to use Amazon API Gateway and AWS Lambda. The company will need to update its deployment processes to work with the new application. It will also need to retain the ability to test new features on a small number of users before rolling the features out to the entire user base.
Which deployment strategy will meet these requirements?

A. Use AWS Elastic Beanstalk to deploy API Gateway and Lambda functions.
When code needs to be
changed, delpoy a new version of the API and Lambda functions.
Shift traffic gradually using an Elastic Beanstalk blue/green deployment.
B. Use AWS OpsWorks to deploy API Gateway in the service layer and Lambda functions in a custom layer.
When code needs to be changed, use OpsWorks to perform a blue/green deployment and shift traffic gradually.
C. Use AWS CloudFormation to deploy API Gateway and Lambda functions using Lambda function versions.
When code needs to be changed, update the CloudFormation stack with the new Lambda code and update the API versions using a canary release strategy.
Promote the new version when testing is complete.
D. Use AWS CDK to deploy API Gateway and Lambda functions.
When code needs to be changed, update the AWS CloudFormation stack and deploy the new version of the APIs and Lambda functions.
Use a Route 53 failover routing policy for the canary release strategy.

Answer: C

NEW QUESTION # 405
What are the benefits when you implement a Blue Green deployment for your infrastructure or application
level changes. Choose 3 answers from the options given below

A. Abilityto deploy with higher risk
B. Nearzero-downtime release for new changes
C. Betterrollback capabilities
D. Goodturnaround time for application deployments

Answer: B,C,D

Explanation:
Explanation
The AWS Documentation mentions the following
Blue/green deployments provide near zero-downtime release and rollback capabilities. The fundamental idea
behind blue/green deployment is to shift traffic between two identical environments that are running different
versions of your application. The blue environment represents the current application version serving
production traffic. In parallel, the green environment is staged running a different version of your application.
After the green environment is ready and tested, production traffic is redirected from blue to green.
For more information on Blue Green deployments please see the below link:
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

NEW QUESTION # 406
......

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Real AWS-DevOps-Engineer-Professional Testing Environment & AWS-DevOps-Engineer-Professional Exams Collection

Pass Guaranteed Quiz 2025 Amazon Professional Real AWS-DevOps-Engineer-Professional Testing Environment

There are many books that you can use to gain the required information for the exam. It is best if you use multiple resources as it gives you a good mix of knowledge. The study guides you can choose are listed below:

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q401-Q406):

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