Uncertainty in AI — past-year questions
AI and DS – II (ITC701) · Semester 7 · Module 1 · IT
5 past-year questions on Uncertainty in AI have appeared in Mumbai University ITC701 papers between 2024–2025, 6 times in total. Every question is shown in full below with its marks and repeat count. Model answers require a free account.
Questions asked on Uncertainty in AI
- 1.
Discuss the limitations of deterministic approaches and how probabilistic reasoning addresses these limitations with example.
5M2× seenlast asked 2025 - 2.
How does Bayes Theorem determine the probability of an event with uncertain knowledge? Give one example of it
5M1× seenlast asked 2025 - 3.
A medical test for a disease is 99% accurate (i.e., it gives correct results 99% of the time). The disease is rare and affects 1 in 10,000 people. Use Bayes' Theorem to calculate the probability that a person who tests positive actually has the disease. Interpret your result.
5M1× seenlast asked 2025 - 4.
Explain Bayes theorem.
5M1× seenlast asked 2024 - 5.
From a standard deck of playing cards, a single card is drawn. The probability that the card is king is 4/52, then calculate posterior probability P(King|Face), which means the drawn face card is a king card.
5M1× seenlast asked 2024
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