SAA-C03 · Question #449
A company hosts an application in an Amazon EC2 Auto Scaling group. The company has observed that during periods of high demand, new instances take too long to join the Auto Scaling group and serve…
The correct answer is B. Create a warm pool for the Auto Scaling group. Use the default specification for the warm pool. A warm pool is an Auto Scaling feature that keeps instances in a pre-initialized state so they can quickly join the active group when scaling is required. This reduces the time needed for instance bootstrapping and makes new capacity available almost instantly. Option A only…
Question
A company hosts an application in an Amazon EC2 Auto Scaling group. The company has observed that during periods of high demand, new instances take too long to join the Auto Scaling group and serve the increased demand. The company determines that the root cause of the issue is the long boot time of the instances in the Auto Scaling group. The company needs to reduce the time required to launch new instances to respond to demand. Which solution will meet this requirement?
Options
- AIncrease the maximum capacity of the Auto Scaling group by 50%.
- BCreate a warm pool for the Auto Scaling group. Use the default specification for the warm pool
- CIncrease the health check grace period for the Auto Scaling group by 50%.
- DCreate a scheduled scaling action. Set the desired capacity equal to the maximum capacity of the
How the community answered
(32 responses)- A9% (3)
- B81% (26)
- C3% (1)
- D6% (2)
Explanation
A warm pool is an Auto Scaling feature that keeps instances in a pre-initialized state so they can quickly join the active group when scaling is required. This reduces the time needed for instance bootstrapping and makes new capacity available almost instantly. Option A only increases capacity limits but does not address slow boot times. Option C merely extends grace periods without solving the delay. Option D forces overprovisioning, which is wasteful and not aligned with cost optimization. Using a warm pool (B) directly addresses the problem by reducing response time to scaling
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