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Question 763 - SAA-C03 discussion

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A company uses an Amazon Aurora PostgreSQL provisioned cluster with its application. The application's peak traffic occurs several times a day for periods of 30 minutes to several hours.

The database capacity is provisioned to handle peak traffic from the application, but the database has wasted capacity during non-peak hours. The company wants to reduce the database costs.

Which solution will meet these requirements with the LEAST operational effort?

A.
Set up an Amazon CloudWatch alarm to monitor database utilization. Scale up or scale down the database capacity based on the amount of traffic.
Answers
A.
Set up an Amazon CloudWatch alarm to monitor database utilization. Scale up or scale down the database capacity based on the amount of traffic.
B.
Migrate the database to Amazon EC2 instances in on Auto Scaling group. Increase or decrease the number of instances based on the amount of traffic.
Answers
B.
Migrate the database to Amazon EC2 instances in on Auto Scaling group. Increase or decrease the number of instances based on the amount of traffic.
C.
Migrate the database to an Amazon Aurora Serverless DB cluster to scale up or scale down the capacity based on the amount of traffic.
Answers
C.
Migrate the database to an Amazon Aurora Serverless DB cluster to scale up or scale down the capacity based on the amount of traffic.
D.
Schedule an AWS Lambda function to provision the required database capacity at the start of each day. Schedule another Lambda function to reduce the capacity at the end of each day.
Answers
D.
Schedule an AWS Lambda function to provision the required database capacity at the start of each day. Schedule another Lambda function to reduce the capacity at the end of each day.
Suggested answer: C

Explanation:

Requirement Analysis: The database experiences peak traffic multiple times a day but has wasted capacity during non-peak hours. The goal is to reduce costs with minimal operational effort.

Aurora Serverless Overview: Aurora Serverless automatically adjusts database capacity based on current demand, scaling up during peak times and scaling down during non-peak times.

Cost Efficiency: Aurora Serverless charges only for the capacity used, which is more cost-effective than provisioning for peak traffic.

Operational Efficiency: Aurora Serverless eliminates the need for manual scaling or scheduling Lambda functions for capacity management.

Implementation: Migrate the database from the provisioned Aurora PostgreSQL cluster to an Aurora Serverless cluster.

Reference

Amazon Aurora Serverless: Aurora Serverless Documentation

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asked 16/09/2024
Jose Leonardo
26 questions
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