[Solved] How can Predictive Scaling handle seasonal traffic patterns that repeat weekly? — Ans: It learns from weekly historical data to forecast recurring demand | AWS

AWS - Auto Scaling

How can Predictive Scaling handle seasonal traffic patterns that repeat weekly?

AIt ignores seasonal patterns and only reacts to daily changes

BIt learns from weekly historical data to forecast recurring demand

CIt requires manual schedule input for weekly patterns

DIt disables scaling during weekends automatically

Step-by-Step Solution

Solution:

Step 1: Identify Predictive Scaling learning capability
It uses historical data including weekly patterns to forecast demand.
Step 2: Understand automation of seasonal handling
Machine learning models detect and predict recurring weekly traffic changes automatically.
Final Answer:
It learns from weekly historical data to forecast recurring demand -> Option B
Quick Check:
Seasonal patterns learned from history, no manual input needed [OK]

Quick Trick: Predictive Scaling learns repeating patterns automatically [OK]

Common Mistakes:

MISTAKES

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