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Question 739 - SAA-C03 discussion

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A company hosts an application on Amazon EC2 On-Demand Instances in an Auto Scaling group. Application peak hours occur at the same time each day. Application users report slow application performance at the start of peak hours. The application performs normally 2-3 hours after peak hours begin. The company wants to ensure that the application works properly at the start o* peak hours.

Which solution will meet these requirements?

A.
Configure an Application Load Balancer to distribute traffic properly to the Instances.
Answers
A.
Configure an Application Load Balancer to distribute traffic properly to the Instances.
B.
Configure a dynamic scaling policy for the Auto Scaling group to launch new instances based on memory utilization
Answers
B.
Configure a dynamic scaling policy for the Auto Scaling group to launch new instances based on memory utilization
C.
Configure a dynamic scaling policy for the Auto Scaling group to launch new instances based on CPU utilization.
Answers
C.
Configure a dynamic scaling policy for the Auto Scaling group to launch new instances based on CPU utilization.
D.
Configure a scheduled scaling policy for the Auto Scaling group to launch new instances before peak hours.
Answers
D.
Configure a scheduled scaling policy for the Auto Scaling group to launch new instances before peak hours.
Suggested answer: D

Explanation:

Understanding the Requirement: The application experiences slow performance at the start of peak hours, but normalizes after a few hours. The goal is to ensure proper performance at the beginning of peak hours.

Analysis of Options:

Application Load Balancer: Ensures proper traffic distribution but does not address the need to have sufficient instances running at the start of peak hours.

Dynamic Scaling Policy Based on Memory or CPU Utilization: While dynamic scaling reacts to usage metrics, it may not preemptively scale in anticipation of peak hours, leading to delays as new instances are launched and become available.

Scheduled Scaling Policy: This allows the Auto Scaling group to launch instances ahead of time, ensuring that enough instances are available and ready to handle the increased load right at the start of peak hours.

Best Solution:

Scheduled Scaling Policy: This approach ensures that new instances are launched and ready before peak hours begin, addressing the slow performance issue at the start of peak periods.

Scheduled Scaling for Amazon EC2 Auto Scaling

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asked 16/09/2024
Corey Rivers
37 questions
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