A Company Has a Mission-Critical Application on AWS That Uses

question 247

Multiple Choice

A company has a mission-critical application on AWS that uses automatic scaling. The company wants the deployment lifecycle to meet the following parameters: • The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic. • The application is CPU intensive and must be closely monitored. • The deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%. Which solution will meet these requirements?

• A) Use AWS CloudFormation to create an AWS Step Functions state machine and Auto Scaling lifecycle hooks to move to one instance at a time into a wait state. Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout.
• B) Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault.OneAtAtime configuration as a deployment strategy. Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached.
• C) Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling. Configure an alarm tied to the CPU utilization metric. Configure rolling deployments with a fixed batch size of one instance. Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.
• D) Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Deploy updates one at a time. Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached.

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Definitions:

Standard Deviation

A measure of the amount of variation or dispersion in a set of values, calculated as the square root of variance.

Discrete Random Variable

A type of random variable that can take on a countable number of distinct values, often used to model scenarios where outcomes are countable.

Expected Number

The calculated average or mean value of a numerical random variable, representing what one expects to happen over numerous trials.

Probability Distribution

A statistical function detailing all potential values and their probabilities for a random variable within a specific range.