Scenario: During a cloud deployment, you notice that the application's performance drops significantly during peak traffic periods. How can application bursting be utilized to address this issue?
Choose one:
Suggested Answer: D
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20 comments · newest first
OM
Omer
2 months ago
D is definitely the way to go. It optimizes resources effectively!
LA
Latanya
2 months ago
C is too restrictive. We need to accommodate more users, not less.
TA
Tamar
2 months ago
Limiting resources (B) could hurt user experience. Not a good idea.
SI
Silvana
2 months ago
A is not practical. On-premises won't help with cloud issues.
TA
Taryn
2 months ago
Agreed! D allows for flexibility and better performance.
LY
Lyla
3 months ago
I think D is the best choice. Scaling out is key during peak times.
LA
Lashawn
3 months ago
Limiting resources (B) just sounds like a bad idea.
HA
Hassie
3 months ago
Wait, can we really scale out that easily?
MA
Maia
3 months ago
Definitely D! It’s all about flexibility.
CH
Chantell
3 months ago
I disagree, A seems more reliable for performance.
DO
Dorothy
3 months ago
D is the way to go! Cloud scaling is key.
CH
Chara
4 months ago
Not sure if scaling out is always effective... what if the cloud gets overloaded too?
ED
Eden
4 months ago
D makes total sense for handling peak loads!
RE
Reuben
4 months ago
Surprised that people think limiting resources (B) is a solution.
NO
Norah
6 months ago
I disagree, A seems more reliable.
BR
Brande
6 months ago
D is the way to go! Cloud scaling is key.
JO
Joye
6 months ago
I practiced a similar question where scaling out was the answer, so I'm leaning towards D as well.
TA
Tanja
6 months ago
I feel like limiting resource usage or reducing users would just make the problem worse, so those options seem wrong.
WA
Wai
7 months ago
I'm not entirely sure, but I remember something about scaling out being a good strategy for handling peak loads.
LE
Lera
7 months ago
I think application bursting means using cloud resources when demand spikes, so D sounds right.