GATE 2024 Data Science and AI Sample Paper; direct link here

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The Graduate Aptitude Test in Engineering (GATE 2024) exam authority has released the revised sample question paper of GATE Data Science and Artificial Intelligence.

The question paper has 55 questions. The questions one to 25 carry one mark each while the next 30 questions are of two marks each.

Exam Pattern

GATE 2024 exam duration	3 Hours*
Number of Subjects (Papers)	30
Sections	General Aptitude (GA) + Candidate’s Selected Subject(s)
Type of Questions	Multiple Choice Questions (MCQ) Multiple Select Questions (MSQ) and/or Numerical Answer Type (NAT) Questions
Questions for testing these abilities	Recall Comprehension Application Analysis & Synthesis
Number of Questions	10 (GA) + 55 (subject) = 65 Questions
Distribution of Marks in all Papers EXCEPT papers AR, CY, DA, EY, GG, MA, PH, ST, XH and XL	General Aptitude: 15 Marks + Engineering Mathematics: 13 Marks + Subject Questions: 72 Marks = Total: 100 Marks (XE includes Engineering Mathematics section XE-A of 15 Marks)
Distribution of Marks in papers AR, CY, EY, GG, MA, PH, ST, XH and XL	General Aptitude: 15 Marks + Subject Questions: 85 Marks Total: 100 Marks

GATE Data Science and AI Syllabus

Probability and Statistics: Topics such as permutation and combinations, probability axioms, Sample space, events, independent events, mutually exclusive events, marginal, conditional and joint probability, and Bayes theorem are covered under this section.

Linear Algebra: Questions in this section will be related to vector space, subspaces, linear dependence and independence of vectors, matrices, orthogonal matrix, idempotent matrix, quadratic forms, systems of linear equations and solutions, and other related topics.

Programming, Data Structures, and Algorithms: Topics which will be covered in this section include programming in python, basic data structures: stacks, queues, linked lists, trees, hash tables, and search algorithms.

Database Management and Warehousing: ER-model, relational model, tuple calculus, SQL, integrity constraints, normal form, file organization, indexing, data types, data transformation such as normalization, sampling, compression; data warehouse modeling: schema for multidimensional data models, concept hierarchies, measures: categorization, and computations will be covered.

Machine Learning: It will cover topics of supervised learning and unsupervised learning.

Artificial Intelligence: Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics - conditional independence representation, exact inference through variable elimination, and approximate inference through sampling.

GATE 2024 will be held on February 3, 4, 10, and 11. Candidates can download the GATE 2024 Data Science and AI sample paper here.