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Question 349 - SAP-C02 discussion

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A live-events company is designing a scaling solution for its ticket application on AWS. The application has high peaks of utilization during sale events. Each sale event is a one-time event that is scheduled.

The application runs on Amazon EC2 instances that are in an Auto Scaling group. The application uses PostgreSOL for the database layer.

The company needs a scaling solution to maximize availability during the sale events.

Which solution will meet these requirements?

A.
Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSOL Serverless v2 Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
Answers
A.
Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSOL Serverless v2 Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
B.
Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazcyl ROS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger read replica before a sale event. Fail over to the larger read replic a. Create another EventBridge rule that invokes another Lambda function to scale down the read replica after the sale event.
Answers
B.
Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazcyl ROS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger read replica before a sale event. Fail over to the larger read replic a. Create another EventBridge rule that invokes another Lambda function to scale down the read replica after the sale event.
C.
Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSOL Multi-AZ DB instance with automatically scaling read replica. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
Answers
C.
Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSOL Multi-AZ DB instance with automatically scaling read replica. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
D.
Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB duster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica. Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.
Answers
D.
Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB duster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica. Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.
Suggested answer: D

Explanation:

The correct answer is D. Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB cluster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica. Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.

This solution will meet the requirements of maximizing availability during the sale events. A scheduled scaling policy for the EC2 instances will allow the application to scale up and down according to the predefined schedule of the sale events. Hosting the database on an Amazon Aurora PostgreSQL Multi-AZ DB cluster will provide high availability and durability, as well as compatibility with PostgreSQL. Creating an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event will ensure that the database can handle the increased read traffic during the peak periods. Failing over to the larger Aurora Replica will make it the primary instance, which will also improve the write performance of the database. Creating another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event will reduce the cost and resources of the database.

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asked 16/09/2024
FELIPE VILLAGOMEZ CARDENAS VILLAGOMEZ
42 questions
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