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Previous year question hub

AI - Data Science & Artificial Intelligence Previous Year Questions

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

3Papers
3Years
20Questions
1Topics

AI question pattern

Every graph below is calculated only from this selection.

Questions by year

Year-wise coverage for AI. Each bar uses a separate theme-derived color.

Difficulty distribution

How the classified questions are distributed by difficulty.

Easy 10 50%
Medium 9 45%
Hard 1 5%

Question type distribution

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

MCQ 12 60%
MSQ 6 30%
Numerical Answer Type (NAT) 2 10%

Subject weightage

Top subjects by unique question coverage.

Data Science & Artificial Intelligence
20 Qs

Most asked topics

Top topics across the included previous year papers.

AI
20 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Informed, Uninformed and Adversarial Search
7 Qs
Propositional and Predicate Logic
7 Qs
Reasoning under Uncertainty
6 Qs

Paper coverage

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

Data Science and Artificial Intelligence (DA) 2026
6 Qs
Data Science & Artificial Intelligence (DA) 2025
6 Qs
Data Science & Artificial Intelligence (DA) 2024
8 Qs

Browse by subtopics

Open a focused page built from the same verified paper data.

Included previous year papers

Newest papers appear first. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Data Science and Artificial Intelligence (DA) 202620266View paper
Data Science & Artificial Intelligence (DA) 202520256View paper
Data Science & Artificial Intelligence (DA) 202420248View paper

Sample previous year questions

A varied preview from the papers represented in this selection, 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
2025 · Data Science & Artificial Intelligence · AI · Propositional and Predicate Logic
Data Science & Artificial Intelligence (DA) 2025
Let \(p\) and \(q\) be any two propositions. Consider the following propositional statements.
\(S_1 : p \rightarrow q, \quad S_2 : \neg p \wedge q, \quad S_3 : \neg p \vee \bar{q}, \quad S_4 : \neg p \vee \neg q,\)
where \(\wedge\) denotes conjunction (AND operation), \(\vee\) denotes disjunction (OR operation), and \(\neg\) denotes negation (NOT operation). Which one of the following options is correct?
(Note: \(\equiv\) denotes logical equivalence)
Open complete paper
3
2026 · Data Science & Artificial Intelligence · AI · Informed, Uninformed and Adversarial Search
Data Science and Artificial Intelligence (DA) 2026
Which of the following algorithms is NOT an example of uninformed search?
Open complete paper
4
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
5
2026 · Data Science & Artificial Intelligence · AI · Propositional and Predicate Logic
Data Science and Artificial Intelligence (DA) 2026
Which of the following statements is NOT true?
(The names of the predicates are intuitive.)
Open complete paper