SAA-C03 · Question #283
A company hosts a public web application on AWS. The website has a three-tier architecture. The frontend web tier is comprised of Amazon EC2 instances in an Auto Scaling group. The application tier…
The correct answer is B. Configure the maximum number of instances for both Auto Scaling groups to be the number. EC2 Auto Scaling warm pools allow you to pre-initialize instances, reducing the delay in scale-out events. This results in significantly faster response times during demand surges while remaining cost-effective compared to always running at peak capacity.
Question
A company hosts a public web application on AWS. The website has a three-tier architecture. The frontend web tier is comprised of Amazon EC2 instances in an Auto Scaling group. The application tier is a second Auto Scaling group. The database tier is an Amazon RDS database. The company has configured the Auto Scaling groups to handle the application's normal level of demand. During an unexpected spike in demand, the company notices a long delay in the startup time when the frontend and application layers scale out. The company needs to improve the scaling performance of the application without negatively affecting the user experience. Which solution will meet these requirements MOST cost-effectively?
Options
- ADecrease the minimum number of EC2 instances for both Auto Scaling groups. Increase the
- BConfigure the maximum number of instances for both Auto Scaling groups to be the number
- CIncrease the maximum number of EC2 instances for both Auto Scaling groups to meet the normal
- DReconfigure both Auto Scaling groups to use a scheduled scaling policy. Increase the size of the
How the community answered
(52 responses)- A12% (6)
- B77% (40)
- C4% (2)
- D8% (4)
Explanation
EC2 Auto Scaling warm pools allow you to pre-initialize instances, reducing the delay in scale-out events. This results in significantly faster response times during demand surges while remaining cost-effective compared to always running at peak capacity.
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