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AWS-DevOps PDF,AWS-DevOps認證指南 & AWS Certified DevOps Engineer – Professional (DOP-C01)考古題

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下載AWS Certified DevOps Engineer – Professional (DOP-C01)考試題庫

NEW QUESTION 32
A company hosts parts of a Python-based application using AWS Elastic Beanstalk. An Elastic Beanstalk CLI is being used to create and update the environments. The Operations team detected an increase in requests in one of the Elastic Beanstalk environments that caused downtime overnight. The team noted that the policy used for AWS Auto Scaling is NetworkOut. Based on load testing metrics, the team determined that the application needs to scale CPU utilization to improve the resilience of the environments. The team wants to implement this across all environments automatically.
Following AWS recommendations, how should this automation be implemented?

  • A. Using ebextensions, place a command within the container_commandskey to perform an API call to modify the scaling metric to CPUUtilizationfor the Auto Scaling configuration. Use leader_onlyto execute this command in only the first instance launched within the environment.
  • B. Using ebextensions, place a script within the fileskey and place it in /opt/elasticbeanstalk/ hooks/appdeploy/preto perform an API call to modify the scaling metric to CPUUtilizationfor the Auto Scaling configuration. Use leader_onlyto place this script in only the first instance launched within the environment.
  • C. Using ebextensions, create a custom resource that modifies the AWSEBAutoScalingScaleUpPolicy and AWSEBAutoScalingScaleDownPolicyresources to use CPUUtilizationas a metric to scale for the Auto Scaling group.
  • D. Using ebextensions, configure the option setting MeasureNameto CPUUtilizationwithin the aws:autoscaling:triggernamespace.

Answer: D

 

NEW QUESTION 33
You are responsible for your company’s large multi-tiered Windows-based web application running on Amazon EC2 instances situated behind a load balancer. While reviewing metrics, you’ve started noticing an upwards trend for slow customer page load time. Your manager has asked you to come up with a solution to ensure that customer load time is not affected by too many requests per second. Which technique would you use to solve this issue?

  • A. Re-deploy your infrastructure usingan AWS CloudFormation template. Configure Elastic Load Balancing health checks to initiate a new AWS CloudFormation stack when health checks return failed.
  • B. Re-deploy your infrastructure using an AWS CloudFormation template. Spin up a second AWS CloudFormation stack. Configure Elastic Load Balancing SpillOver functionality to spill over any slow connections to the second AWS CloudFormation stack.
  • C. Re-deploy your infrastructure using AWS CloudFormation, Elastic Beanstalk, and Auto Scaling. Set up your Auto Scalinggroup policies to scale based on the number of requests per second as well as the current customer load time. *>/ D- Re-deploy your application using an Auto Scaling template. Configure the Auto Scaling template to spin up a new Elastic Beanstalk application when the customer load time surpasses your threshold.

Answer: C

Explanation:
Explanation
Auto Scaling helps you ensure that you have the correct number of Amazon CC2 instances available to handle the load for your application. You create collections of CC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Auto Scaling ensures that your group never goes below this size. You can specify the maximum number of instances in each Auto Scaling group, and Auto Scaling ensures that yourgroup never goes above this size. If you specify the desired capacity, either when you create the group or at any time thereafter.
Auto Scaling ensures that yourgroup has this many
instances. If you specify scaling policies, then Auto Scaling can launch or terminate instances as demand on your application increases or decreases.
Option A and B are invalid because Autoscaling is required to solve the issue to ensure the application can handle high traffic loads.
Option D is invalid because there is no Autoscaling template.
For more information on Autoscaling, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/WhatlsAutoScaling.html

 

NEW QUESTION 34
You recently encountered a major bug in your Windows-based web application during a deployment cycle.
During this failed deployment, it took the team four hours to roll back to a previously working state, which left customers with a poor user experience.
During the post-mortem, your team discussed the need to provide a quicker way to roll back failed deployments.
You currently run your web application on Amazon EC2 using Windows 2012R2 and use Elastic Load Balancing for your load balancing needs.
Which technique should you use to solve this problem?

  • A. Create deployable versioned bundles of your application.
    Store the bundle on Amazon S3. Re-deploy your web application using an AWS OpsWorks stack, and use AWS OpsWorks application versioning to initiate a rollback during failures.
  • B. Re-deploy your web application using an AWS OpsWorks stack, and use the AWS OpsWorks auto-rollback feature to initiate a rollback during failures.
  • C. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk API to trigger a FailedDeployment API call to initiate a rollback to the previous version.
  • D. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk application versions when deploying.
    During failures, re-deploy the previous version to the Elastic Beanstalk environment.
  • E. Create deployable versioned bundles of your application. Store the bundles on Amazon S3.
    Re-deploy your web application on Elastic Beanstalk, and enable the Elastic Beanstalk auto- rollback feature tied to CloudWatch metrics that define failure.

Answer: D

 

NEW QUESTION 35
A production account has a requirement that any Amazon EC2 instance that has been logged into manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with Amazon CloudWatch Logs agent configured.
How can this process be automated?

  • A. Create a CloudWatch alarm that will trigger on the login event. Send the notification to an Amazon SNS topic that the Operations team is subscribed to, and have them terminate the EC2 instance within 24 hours.
  • B. Create a CloudWatch Logs subscription in an AWS Lambda function. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned.
    Create a CloudWatch Events rule to trigger a daily Lambda function that terminates all instances with this tag.
  • C. Create a CloudWatch alarm that will trigger on the login event. Configure the alarm to send to an Amazon SQS queue. Use a group of worker instances to process messages from the queue, which then schedules the Amazon CloudWatch Events rule to trigger.
  • D. Create a CloudWatch Logs subscription to an AWS Step Functions application. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Then create a CloudWatch Events rule to trigger a second AWS Lambda function once a day that will terminate all instances with this tag.

Answer: C

 

NEW QUESTION 36
……

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