GATE 2024 sample paper for data science and AI out; question pattern, PDF download link
Anu Parthiban | October 19, 2023 | 03:24 PM IST | 1 min read
IISc will conduct the GATE 2024 exam for 30 papers this year. Registration link at gate2024.iisc.ac.in will be closed tomorrow, October 20.
Download the GATE 2027 subject-wise syllabus PDF and prepare with the latest topics, section-wise weightage, and exam pattern for your chosen discipline.
Check NowNEW DELHI: Indian Institute of Science Bangalore (IISc Bangalore) has uploaded the GATE 2024 sample paper for Data Science and Artificial Intelligence paper. The Graduate Aptitude Test for Engineering (GATE 2024) registration last date with late fee is October 20. Candidates who wish to apply for IISc GATE exam 2024 will have to register on the official website, gate2024.iisc.ac.in.
The institute will hold exams for 30 papers this year and candidates will be able to apply for up to a two-paper combination. Data Science and AI is the new subject added to this year’s GATE exam.
The application form link is available on the GOAP website, goaps.iisc.ac.in. Candidates will have to enter a valid email address and phone number to generate password on the GATE login window.
As per the GATE data science and AI sample paper, question number 1 to 25 will carry one mark questions and question number 26 to 55 will carry 2 marks each.
The question paper will have general aptitude and the subject selected by the candidates. General aptitude test will carry 15 marks and remaining 85 marks questions will be based on the subject opted.
For every wrong response in one mark multiple choice questions (MCQs), 1/3 mark will be deducted and for every wrong answer in 2 marks MCQs, ⅔ mark will be deducted. However, there will be no negative marking for wrong answers to MSQ or NAT questions.
Download GATE Date Science and AI sample paper
GATE Data Science and AI: Syllabus
Here are the topics that will be covered under the data science and AI paper.
- Probability and Statistics
- Linear Algebra
- Calculus and Optimization
- Programming, Data Structures and Algorithms
- Database Management and Warehousing
- Machine learning
- Artificial Intelligence
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