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Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 595 discussion

A company's applications run on Amazon EC2 instances in Auto Scaling groups. The company notices that its applications experience sudden traffic increases on random days of the week. The company wants to maintain application performance during sudden traffic increases.

Which solution will meet these requirements MOST cost-effectively?

  • A. Use manual scaling to change the size of the Auto Scaling group.
  • B. Use predictive scaling to change the size of the Auto Scaling group.
  • C. Use dynamic scaling to change the size of the Auto Scaling group.
  • D. Use schedule scaling to change the size of the Auto Scaling group.
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Suggested Answer: C 🗳️

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ralfj
Highly Voted 1 year, 1 month ago
Selected Answer: C
Dynamic Scaling – This is yet another type of Auto Scaling in which the number of EC2 instances is changed automatically depending on the signals received. Dynamic Scaling is a good choice when there is a high volume of unpredictable traffic. https://www.developer.com/web-services/aws-auto-scaling-types-best-practices/#:~:text=Dynamic%20Scaling%20%E2%80%93%20This%20is%20yet,high%20volume%20of%20unpredictable%20traffic.
upvoted 5 times
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awsgeek75
Most Recent 9 months ago
Selected Answer: C
random = dynamic A: Manual is never a solution B: Predictive is not possible as it's random D: Cannot schedule random
upvoted 4 times
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TariqKipkemei
10 months, 3 weeks ago
Selected Answer: C
Dynamic scaling
upvoted 1 times
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dilaaziz
11 months, 2 weeks ago
Selected Answer: C
https://aws.amazon.com/ec2/autoscaling/faqs/
upvoted 2 times
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tabbyDolly
1 year ago
C - " sudden traffic increases on random days of the week" --> dynamic scaling
upvoted 4 times
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Guru4Cloud
1 year, 1 month ago
Selected Answer: C
C is the best answer here. Dynamic scaling is the most cost-effective way to automatically scale the Auto Scaling group to maintain performance during random traffic spikes.
upvoted 2 times
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