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Exam AWS Certified SysOps Administrator - Associate topic 1 question 299 discussion

Exam question from Amazon's AWS Certified SysOps Administrator - Associate
Question #: 299
Topic #: 1
[All AWS Certified SysOps Administrator - Associate Questions]

A company has a public web application that experiences rapid traffic increases after advertisements appear on local television. The application runs on Amazon EC2 instances that are in an Auto Scaling group. The Auto Scaling group is not keeping up with the traffic surges after an advertisement runs. The company often needs to scale out to 100 EC2 instances during the traffic surges.

The instance startup times are lengthy because of a boot process that creates machine-specific data caches that are unique to each instance. The exact timing of when the advertisements will appear on television is not known. A SysOps administrator must implement a solution so that the application can function properly during the traffic surges.

Which solution will meet these requirements?

  • A. Create e warm pool. Keep enough instances in the Stopped state to meet the increased demand.
  • B. Start 100 instances. Allow the boot process to finish running. Store this data on the instance store volume before stopping the instances.
  • C. Increase the value of the instance warmup time in the scaling policy
  • D. Use predictive scaling for the Auto Scaling group.
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Suggested Answer: A 🗳️
by Gomer at June 9, 2023, 10:47 p.m.
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Gomer
Highly Voted 10 months, 4 weeks ago
Selected Answer: A
"A warm pool gives you the ability to decrease latency for your applications that have exceptionally long boot times, for example, because instances need to write massive amounts of data to disk" https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-warm-pools.html I'm confident the answer is not "D" because they the requirements state "The exact timing of when the advertisements will appear on television is not known." That was put there to eliminate Predictive Scaling as an option.
upvoted 11 times
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lityann
Most Recent 5 months, 3 weeks ago
Selected Answer: A
I think because "The exact timing of when the advertisements will appear on television is not known" so it's difficult to use predictive scaling.
upvoted 2 times
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mana25
9 months, 1 week ago
Selected Answer: A
Warm pool are perfect for boot long time. Predictive you need specific time to escalate, you need PATTERNS, in this question, specific time is UNKNOWN
upvoted 4 times
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Frankie2329
10 months ago
I feel like it is D. It's predictive, not scheduled. The part that is throwing me off for the warm pool is "The instance startup times are lengthy because of a boot process that creates machine-specific data caches that are unique to each instance". Each instance is unique. Wouldn't having an established warm pool of instances prevent that uniqueness?
upvoted 1 times
Zotarix
9 months, 2 weeks ago
Good catch, however I found this: Predictive scaling is well suited for situations where you have: - Cyclical traffic, such as high use of resources during regular business hours and low use of resources during evenings and weekends - Recurring on-and-off workload patterns, such as batch processing, testing, or periodic data analysis - Applications that take a long time to initialize, causing a noticeable latency impact on application performance during scale-out events In general, if you have regular patterns of traffic increases and applications that take a long time to initialize, you should consider using predictive scaling.
upvoted 3 times
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Freshtimi
10 months, 3 weeks ago
definitely A
upvoted 2 times
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CheccoBam
10 months, 3 weeks ago
Selected Answer: A
I think here we need a Warm pool
upvoted 4 times
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