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Previous year question hub

Reasoning under Uncertainty - AI - Data Science & Artificial Intelligence Previous Year Questions

Practice Reasoning under Uncertainty - AI - Data Science & Artificial Intelligence previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

2Papers
2Years
6Questions
1Topics

Reasoning under Uncertainty question pattern

Every graph below is calculated only from this selection.

Questions by year

Compare question counts across years.

Difficulty distribution

How the classified questions are distributed by difficulty.

Easy 3 50%
Medium 3 50%

Question type distribution

MCQ, numerical, multiple-select and other formats found in these papers.

MCQ 3 50%
MSQ 2 33.3%
Numerical Answer Type (NAT) 1 16.7%

Subject weightage

Top subjects by unique question coverage.

Data Science & Artificial Intelligence
6 Qs

Most asked topics

Top topics across the included previous year papers.

AI
6 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Reasoning under Uncertainty
6 Qs

Paper coverage

Question coverage for the most populated papers. Every active PYP paper remains listed below.

Data Science & Artificial Intelligence (DA) 2025
3 Qs
Data Science & Artificial Intelligence (DA) 2024
3 Qs

Included previous year papers

Newest papers appear first. Search these papers or sort by year and name.

Paper nameYearPDFAttempt
Data Science & Artificial Intelligence (DA) 20252025
3 questions in this view
2025
Data Science & Artificial Intelligence (DA) 20242024
3 questions in this view
2024

All Reasoning under Uncertainty previous year questions

Practice every matching question in batches of 20, with every available option.

1
2024 · Data Science & Artificial Intelligence · AI · Reasoning under Uncertainty
Data Science & Artificial Intelligence (DA) 2024
Match the items in Column 1 with the items in Column 2 in the following table:
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2
2024 · Data Science & Artificial Intelligence · AI · Reasoning under Uncertainty
Data Science & Artificial Intelligence (DA) 2024
Given the following Bayesian Network consisting of four Bernoulli random variables and the associated conditional probability tables:

P(·)
U = 00.5
U = 10.5

P(V = 0|·)P(V = 1|·)
U = 00.50.5
U = 10.50.5

P(W = 0|·)P(W = 1|·)
U = 010
U = 101

VWP(Z = 0|·)P(Z = 1|·)
V = 0W = 00.50.5
V = 0W = 110
V = 1W = 010
V = 1W = 10.50.5

The value of P(U = 1, V = 1, W = 1, Z = 1) = ____ (rounded off to three decimal places).

Question diagram

Question diagram

Question diagram

Question diagram

Question diagram

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3
2025 · Data Science & Artificial Intelligence · AI · Reasoning under Uncertainty
Data Science & Artificial Intelligence (DA) 2025
Which of the following statements is/are correct in a Bayesian network?
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4
2025 · Data Science & Artificial Intelligence · AI · Reasoning under Uncertainty
Data Science & Artificial Intelligence (DA) 2025
Consider the neural network shown in the figure with inputs: \( u, v \) weights: \( a, b, c, d, e, f \) output: \( y \) \( R \) denotes the ReLU function, \( R(x) = \max(0, x) \). Given \( u = 2, v = 3, \) \( a = 1, b = 1, c = 1, d = -1, e = 4, f = -1, \) which one of the following is correct?

Question diagram

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5
2025 · Data Science & Artificial Intelligence · AI · Reasoning under Uncertainty
Data Science & Artificial Intelligence (DA) 2025
Which of the following statements is/are correct about the rectified linear unit (ReLU) activation function defined as \(\text{ReLU}(x) = \max(x, 0)\), where \(x \in \mathbb{R}\)?
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