CAT Exam Preparation

CAT Previous Year Papers & AI-Predicted Questions

CAT is the gateway to IIMs and top B-schools in India. Tests quantitative, verbal, and logical reasoning abilities. Upload your CAT papers and get instant AI predictions, topic frequency analysis, and smart study plans.

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1,500+
Papers Analyzed
94%
Topic Accuracy
800+
Students Using
150K+
Questions Extracted

Overview

What is the Common Admission Test (CAT)?

The Common Admission Test (CAT) is India's premier MBA entrance examination, administered by the Indian Institutes of Management (IIMs) on a rotational basis. CAT scores are accepted by all 21 IIMs and over 1,200 B-schools across India. The computer-based test evaluates candidates across three sections — Verbal Ability & Reading Comprehension (VARC), Data Interpretation & Logical Reasoning (DILR), and Quantitative Ability (QA). With over 2.5 lakh aspirants competing for roughly 5,000 IIM seats, CAT demands not just aptitude but strategic test-taking skills honed through extensive PYQ practice.

Strategy

Why Previous Year Papers Matter for CAT

CAT PYQs are invaluable because the exam's question style and difficulty calibration follow recognizable patterns. While IIMs change the exact format periodically (e.g., shifting between TITA and MCQ ratios), the underlying concept areas remain consistent. VARC passages consistently test inference, tone, and author's intent. DILR sets follow predictable complexity structures — games, arrangements, and data caselets. QA topics like Number Systems, Algebra, and Geometry appear every year without exception. Practicing PYQs builds the pattern recognition instinct that separates 99th percentile scorers from the rest.

Technology

How ANALYXX AI Predicts CAT Questions

ANALYXX AI analyzes CAT papers by deconstructing each question into its conceptual components — for QA, this means identifying not just 'Algebra' but the specific sub-type (linear equations, quadratics, inequalities). For VARC, our NLP classifies passages by genre (social science, abstract, science) and question types (inference, vocabulary-in-context, main idea). For DILR, we track set structures and complexity levels. This granular classification reveals preparation blind spots that generic topic-level analysis misses.

Data

Most Important Topics for CAT

TopicWeightage
Arithmetic (Percentages, Ratios, TSD)20-25%
Algebra & Number Systems15-18%
Reading Comprehension24-28%
Logical Reasoning (Arrangements, Puzzles)15-18%
Data Interpretation (Tables, Charts)12-15%
Verbal Ability (Para Jumbles, Summary)8-10%

Preparation

CAT Preparation Tips

01Master Arithmetic fundamentals — they appear in both QA and DI sections
02Practice VARC with a timer: aim for 8-10 minutes per RC passage
03DILR sets should be practiced as complete sets, not individual questions
04Use ANALYXX AI to identify which QA sub-topics are trending in recent CAT papers

FAQ

Frequently Asked Questions

Are CAT questions repeated from previous years?+
Exact questions are never repeated, but concept types and question patterns are highly consistent. Understanding these patterns through PYQ analysis significantly improves performance.
How important is PYQ practice for CAT?+
PYQ practice is essential for understanding CAT's unique difficulty level and question framing. Most 99th percentile scorers report solving 5-10 years of PYQs as a core part of their preparation.
Can ANALYXX AI analyze CAT mock tests?+
Yes! Upload any CAT paper or mock test PDF, and ANALYXX AI will classify questions, identify topic patterns, and provide predictions for your preparation strategy.

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