My Cart
Your Cart 0

    Your cart is empty.

  • Total (Amount) ₹0.00
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

Year-wise coverage for Reasoning under Uncertainty. Each bar uses a separate theme-derived color.

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. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Data Science & Artificial Intelligence (DA) 202520253View paper
Data Science & Artificial Intelligence (DA) 202420243View paper

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:
Open complete paper
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

Open complete paper
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?
Open complete paper
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

Open complete paper
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 \(x \in \mathbb{R}\)?
Open complete paper