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Given this simplified AWS CLI command output for Predictive Scaling forecast: {"Forecast": [{"Timestamp": "2024-06-01T10:00:00Z", "Value": 50}, {"Timestamp": "2024-06-01T11:00:00Z", "Value": 100}]}, what will happen at 11 AM?

medium📝 Predict Output Q4 of 15
AWS - Auto Scaling
Given this simplified AWS CLI command output for Predictive Scaling forecast: {"Forecast": [{"Timestamp": "2024-06-01T10:00:00Z", "Value": 50}, {"Timestamp": "2024-06-01T11:00:00Z", "Value": 100}]}, what will happen at 11 AM?
AThe Auto Scaling group will increase capacity to handle 100 units of load
BThe Auto Scaling group will decrease capacity to 50 units
CNo change will occur because forecast values are ignored
DThe Auto Scaling group will shut down instances
Step-by-Step Solution
Solution:
  1. Step 1: Interpret forecast values

    The forecast predicts 100 units of load at 11 AM, up from 50 at 10 AM.
  2. Step 2: Understand Predictive Scaling action

    Predictive Scaling adjusts capacity ahead to meet forecasted demand, increasing capacity.
  3. Final Answer:

    The Auto Scaling group will increase capacity to handle 100 units of load -> Option A
  4. Quick Check:

    Forecasted load increase = capacity increase [OK]
Quick Trick: Higher forecast means scaling up capacity before demand hits [OK]
Common Mistakes:
  • Assuming capacity decreases with higher forecast
  • Ignoring forecast and expecting no change
  • Thinking instances will shut down unexpectedly

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