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Exam ACA-Cloud1 topic 1 question 9 discussion

Actual exam question from Alibaba's ACA-Cloud1
Question #: 9
Topic #: 1
[All ACA-Cloud1 Questions]

Your website has oscillating traffic peaks that are difficult to predict in advance. In this scenario, it is recommended to use SLB and __________________ together with ECS.

  • A. RDS
  • B. Auto Scaling
  • C. VPC
  • D. MaxCompute
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Suggested Answer: B 🗳️

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syed007
11 months, 2 weeks ago
Selected Answer: B
B. Auto Scaling
upvoted 1 times
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ZZZ_Sleep
1 year, 2 months ago
Selected Answer: B
B. Auto Scaling In a scenario where your website experiences oscillating traffic peaks that are difficult to predict in advance, it is recommended to use SLB (Server Load Balancer) and Auto Scaling together with ECS (Elastic Compute Service). Auto Scaling allows you to automatically adjust the number of ECS instances based on traffic load. When traffic increases during peak periods, Auto Scaling can add more ECS instances to handle the load, and when traffic decreases, it can reduce the number of instances to save costs. Combined with SLB, which distributes traffic among the dynamically scaled ECS instances, you can ensure your website remains responsive and cost-effective during traffic fluctuations. This setup provides both high availability and scalability for your application.
upvoted 1 times
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[Removed]
1 year, 2 months ago
Selected Answer: B
B. Auto Scaling In a scenario where your website experiences oscillating traffic peaks that are difficult to predict in advance, it is recommended to use Server Load Balancer (SLB) and Auto Scaling together with Elastic Compute Service (ECS). Auto Scaling allows you to automatically adjust the number of ECS instances based on traffic load. When traffic increases, Auto Scaling can add more ECS instances to handle the load, and when traffic decreases, it can reduce the number of instances to save costs. Combined with SLB, you can distribute traffic among the dynamically scaled ECS instances to ensure your website remains responsive and cost-effective during traffic fluctuations. This setup provides both high availability and scalability for your application.
upvoted 1 times
...
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C (25%)
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