How can you represent a simple rule-based decision system in Python to decide actions based on weather conditions?

easy📝 Factual Q3 of 15

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Arules = {'rainy': 'take umbrella', 'sunny': 'wear sunglasses'} action = rules.get(weather, 'stay indoors')

Bdef predict(weather): return 'take umbrella' if weather == 'rainy' else 'wear sunglasses'

Cmodel = train(weather_data) prediction = model.predict(weather)

Dif weather == 'rainy': action = 'wear sunglasses' else: action = 'take umbrella'

Step-by-Step Solution

Solution:

Step 1: Identify rule-based representation
Rule-based systems use explicit mappings from conditions to actions.
Step 2: Check Python syntax
Using a dictionary with get() provides a clear rule-based lookup with a default.
Final Answer:
Using a dictionary with get() for rules -> Option A
Quick Check:
Dictionary lookup for rules [OK]

Quick Trick: Use dict.get() for default rule-based actions [OK]

Common Mistakes:

MISTAKES

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