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The AWS Certified DevOps Engineer - Professional (DOP-C01) certification exam is designed to test the skills and knowledge of experienced DevOps engineers who work in AWS environments. AWS Certified DevOps Engineer - Professional certification validates their ability to deploy, manage, and operate distributed applications on the AWS platform. AWS-DevOps Exam covers a wide range of topics, including continuous delivery and deployment, infrastructure as code, monitoring and logging, security, and compliance. AWS Certified DevOps Engineer - Professional certification exam is intended for DevOps professionals with at least two years of hands-on experience working with AWS technologies.
Registration procedure of the AWS DevOps Engineer Professional Exam
In order to apply for the AWS DevOps Engineer Professional, You have to follow these steps
- Step 1: Sign in to AWS Training
- Step 2: Click Certification in the top navigation
- Step 3: Click AWS Certification Account Button
- Step 4: Followed by Schedule New Exam
- Step 5: Search the AWS DevOps Engineer Professional exam
- Step 6: Click either the Schedule at PSI or Schedule at Pearson VUE button
- Step 7: Select Date, time and Schedule your test
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q126-Q131):
NEW QUESTION # 126
A retail company is currently hosting a Java-based application in its on-premises data center.
Management wants the DevOps Engineer to move this application to AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible.
Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic.
What option requires the LEAST amount of management overhead to meet these requirements?
- A. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in- place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.
- B. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%. - C. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in- place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.
- D. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of 50%.
Answer: B
Explanation:
Rolling with batches keep 100% up yoiu need 50%. With rolling deployments, Elastic Beanstalk splits the environment's EC2 instances into batches and deploys the new version of the application to one batch at a time, leaving the rest of the instances in the environment running the old version of the application.
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version- deploy.html
NEW QUESTION # 127
Which of the following tools does not directly support AWS OpsWorks, for monitoring your stacks?
- A. Amazon CloudWatch Metrics
- B. Amazon CloudWatch Logs
- C. AWSConfig
- D. AWSCIoudTrail
Answer: C
Explanation:
Explanation
You can monitor your stacks in the following ways.
* AWS OpsWorks Stacks uses Amazon CloudWatch to provide thirteen custom metrics with detailed
monitoring for each instance in the stack.
* AWS OpsWorks Stacks integrates with AWS CloudTrail to log every AWS OpsWorks Stacks API call and
store the data in an Amazon S3 bucket.
* You can use Amazon CloudWatch Logs to monitor your stack's system, application, and custom logs.
For more information on Opswork monitoring, please visit the below URL:
* http://docs.aws.a
mazon.com/opsworks/latest/userguide/monitoring.html
NEW QUESTION # 128
A DevOps team needs to query information in application logs that are generated by an application running multiple Amazon EC2 instances deployed with AWS Elastic Beanstalk. Instance log streaming to Amazon CloudWatch Logs was enabled on Elastic Beanstalk. Which approach would be the MOST cost-efficient?
- A. Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.
- B. Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.
- C. Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.
- D. Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.
Answer: B
Explanation:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/Subscriptions.html
NEW QUESTION # 129
Your company has a number of Cloudformation stacks defined in AWS. As part of the routine housekeeping activity, a number of stacks have been targeted for deletion. But a few of the stacks are not getting deleted and are failing when you are trying to delete them. Which of the following could be valid reasons for this? Choose
2 answers from the options given below
- A. Thestack consists of an EC2 resource which was created with a custom AMI.
- B. Thestack has a EC2 Security Group which has EC2 Instances attached to it.
- C. Thestack has an S3 bucket defined which has objects present in it.
- D. Thestacks were created with the wrong template version. Since the standardtemplate version is now higher, it is preventing the deletion of the stacks.You need to contact AWS support.
Answer: B,C
Explanation:
Explanation
The AWS documentation mentions the below point
Some resources must be empty before they can be deleted. For example, you must delete all objects in an Amazon S3 bucket or remove all instances in an Amazon CC2 security group before you can delete the bucket or security group For more information on troubleshooting cloudformation stacks, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/troubleshooting.html
NEW QUESTION # 130
A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway. The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository. The deployment must have the following: *Separate environment pipelines for testing and production. *Automatic deployment that occurs for test environments only. Which steps should be taken to meet these requirements?
- A. Configure a new AWS CodePipeline service. Create a CodeCommit repository for each environment. Set up CodePipeline to retrieve the source code from the appropriate repository. Set up a deployment step to deploy the Lambda functions with AWS CloudFormation.
- B. Create an AWS CodeBuild configuration for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Push the Lambda function code to an Amazon S3 bucket. Set up the deployment step to deploy the Lambda functions from the S3 bucket.
- C. Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
- D. Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create a CodeCommit repository for each environment. Set up each CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
Answer: D
NEW QUESTION # 131
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