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The AWS Certified DevOps Engineer - Professional (DOP-C01) exam is designed for professionals who are seeking to validate their skills and knowledge in building and managing applications on the Amazon Web Services (AWS) platform. AWS Certified DevOps Engineer - Professional certification is intended for experienced DevOps engineers who have expertise in developing, deploying, and maintaining applications on AWS. It is also designed for professionals who have experience in automating and optimizing the continuous integration and delivery (CI/CD) pipeline.

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The Amazon AWS-DevOps-Engineer-Professional Exam covers a wide range of topics, including continuous delivery and deployment, infrastructure as code, monitoring and logging, security and compliance, and troubleshooting. Candidates must demonstrate their knowledge of AWS services such as AWS CloudFormation, AWS Elastic Beanstalk, AWS CodeDeploy, AWS CodePipeline, AWS OpsWorks, and AWS Lambda, as well as their ability to use tools such as Jenkins, Git, and Docker to automate and streamline the DevOps process. Passing the AWS Certified DevOps Engineer - Professional exam is a significant achievement for any DevOps professional, as it demonstrates their proficiency in building and managing scalable, highly available, and fault-tolerant systems on AWS.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q160-Q165):

NEW QUESTION # 160
You have an application running on multiple Amazon EC2 instances within an Auto Scaling group.
You notice that instances are being re-spawned as their health checks are failing in Amazon EC2.
However, before you have a chance to diagnose the issue, the affected instances are being terminated by the Auto Scaling service.
You receive notifications of health checks failing and investigate within 20 minutes.
However, this is not enough time to troubleshoot the issue.
What should you change that will enable you to troubleshoot the instance before it is terminated by the Auto Scaling service, while keeping costs minimal?

A. Configure an Amazon SNS topic and associate it with your Auto Scaling group's CloudWatch alarms.
Configure an Amazon SQS queue as a subscriber of this topic, and then create a fleet of Amazon EC2 workers that poll this queue and instruct the Amazon EC2 Auto Scaling API to remove the instance from the Auto Scaling group when an alarm is triggered.
B. Create an Auto Scaling Group lifecycle hook to hold the instance in a terminating:wait state until you have completed any troubleshooting.
When you have completed troubleshooting, wait for the terminating state to expire, or notify to Scaling to complete the lifecycle hook and terminate the Instance.
C. Change the "DeleteOnTermination" flag to false in the Auto Scaling group configuration to ensure that instances are not deleted in the future.
D. Install the Amazon CloudWatch Logs Agent on the instance and configure application and system logs to be sent to the CloudWatch Logs service.

Answer: B

NEW QUESTION # 161
Due to compliance regulations, management has asked you to provide a system that allows for cost-effective long-term storage of your application logs and provides a way for support staff to view the logs more quickly. Currently your log system archives logs automatically to Amazon S3 every hour, and support staff must wait for these logs to appear in Amazon S3, because they do not currently have access to the systems to view live logs.
What method should you use to become compliant while also providing a faster way for support staff to have access to logs?

A. Update Amazon S3 lifecycle policies to archive old logs to Amazon Glacier. key can be different from the tableEnable Amazon S3 partial uploads on your Amazon S3 bucket, and trigger an Amazon SNS notification when a partial upload occurs.
B. Update Amazon S3 lifecycle policies to archive old logs to Amazon Glacier, and use or write a service to also stream your application logs to CloudWatch Logs.
C. Update Amazon S3 lifecycle policies to archive old logs to Amazon Glacier, and add a new policy to push all log entries to Amazon SQS for ingestion by the support team.
D. Use or write a service to stream your application logs to CloudWatch Logs. Use an Amazon Elastic Map Reduce cluster to live stream your logs from CloudWatch Logs for ingestion by the support team, and create a Hadoop job to push the logs to S3 in five-minute chunks.
E. Update Amazon Glacier lifecycle policies to pull new logs from Amazon S3, and in the Amazon EC2 console, enable the CloudWatch Logs Agent on all of your application servers.

Answer: B

NEW QUESTION # 162
A web application with multiple services runs on Amazon EC2 instances behind an Application Load Balancer. The application stores data in an Amazon RDS Multi-AZ DB instance. The instance health check used by the load balancer returns PASS if at least one service is running on the instance.
The company uses AWS CodePipeline with AWS CodeBuild and AWS CodeDeploy steps to deploy code to test and production environments. Recently, a new version was unable to connect to the database server in the test environment. One process was running, so the health checks reported healthy and the application was promoted to production, causing a production outage.
The company wants to ensure that test builds are fully functional before a promotion to production.
Which changes should a DevOps Engineer make to the test and deployment process? (Choose two.)

A. Add a dependency checking step to the existing testing framework to ensure compatibility.
B. Refactor the health check endpoint the Elastic Load Balancer is checking to return a text-based status result and configure the load balancer to check for a valid response.
C. Refactor the health check endpoint the Elastic Load Balancer is checking to better validate actual application functionality.
D. Add a manual approval action to the CodeDeploy deployment pipeline that requires a Testing Engineer to validate the testing environment.
E. Add an automated functional test to the pipeline that ensures solid test cases are performed.

Answer: A,B

NEW QUESTION # 163
When thinking of AWS Elastic Beanstalk, which statement is true?

A. Worker tiers pull jobs from HTTP.
B. Worker tiers pull jobs from SQS.
C. Worker tiers pull jobs from SNS.
D. Worker tiers pull jobs from JSON.

Answer: B

Explanation:
Elastic Beanstalk installs a daemon on each Amazon EC2 instance in the Auto Scaling group to process
Amazon SQS messages in the worker environment. The daemon pulls data off the Amazon SQS queue,
inserts it into the message body of an HTTP POST request, and sends it to a user-configurable URL path
on the local host. The content type for the message body within an HTTP POST request is
application/json by default.
Reference:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features-managing-env-tiers.html

NEW QUESTION # 164
A company's legacy application uses IAM user credentials to access resources in the company's AWS Organizations organization. A DevOps engineer needs to ensure new IAM users cannot be created unless the employee creating the IAM user is on an exception list.
Which solution will meet these requirements?

A. Create an Amazon EventBridge (Amazon CloudWatch Events) rule with a pattern that matches the iam:CreateUser action with an AWS Lambda function target. The function will check the user name and account against an exception list. If the user is not in the exception list, the function will delete the user.
B. Attach an Organizations SCP with an explicit deny for all iam:CreateAccessKey actions with a condition that excludes StringNotEquals for aws:username with a value of the exception list.
C. Create an Amazon EventBridge (Amazon CloudWatch Events) rule with a pattern that matches the iam:CreateAccessKey action with an AWS Lambda function target. The function will check the user name account against an exception list. If the user is not in the exception list, the function will delete the user.
D. Attach an Organizations SCP with an explicit deny for all iam:CreateUser actions with a condition that includes StringEquals for aws:username with a value of the exception list.

Answer: B

NEW QUESTION # 165
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q160-Q165):

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