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A video company uses SLB to distribute user requests to 20 ECS instances with the same configuration to response these requests. As the Spring Festival approaches, service traffic would double during holidays (based on past experience). Thus, you use Auto Scaling to elastically adjust computing resources. Since the services is online for many years, you have historic records that can help predict the upcoming service traffic and choose the scaling mode freely. In this scenario, which of the following options are feasible and with minimum operation efforts? (Number of correct answers: 2)
Suggested Answer: B, C
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9 comments · newest first
QU
Quentin
12 months ago
Wait, can we really predict traffic that accurately? Sounds too good to be true!
GA
Gail
1 year ago
D is important, but it doesn't really address scaling needs.
BE
Bette
1 year ago
C seems risky, manual changes can lead to mistakes.
VA
Van
1 year ago
I think B is a solid choice too, simple and straightforward.
CA
Cathern
1 year ago
Option A sounds efficient with real-time adjustments.
FR
Freeman
1 year ago
Hmm, I'm a bit confused. I know switches forward frames, but I'm not sure about the technical term for that specific process. I'll have to think this through carefully.
WI
Winfred
1 year ago
Okay, I think I've got this. Address summarization allows you to represent a block of routes with a single, more general route. This reduces the number of individual entries in the routing table, which in turn reduces the overall table size. The key is that summarization aggregates routes.
JA
Janey
1 year ago
This seems like a straightforward question about Azure Storage tiers. I'm pretty confident I can evaluate the bold text and select the correct answer.
WA
waterzhong
5 years ago
at first, I tried the A, but finally, I agreed with BC..
according to this sentence "Since the services is online for many years, you have historic records that can help predict the upcoming service traffic and choose the scaling mode freely"