CAT 2021 syllabus: Know important topics to prepare for VARC, DILR, & QA
IIM CAT exam syllabus is very general yet broad. Here are the important topics to be studied from each section to crack CAT 2021 with a 99+ percentile.
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The CAT exam syllabus 2021 will not be released officially. However, based on the important topics from which questions have been asked in the past, the CAT syllabus is devised. Experts and toppers suggest preparing for the exam as per the syllabus of CAT to get a high percentile. CAT exam syllabus includes important topics from the three sections - Data Interpretation & Logical Reasoning (DILR), Verbal Ability & Reading Comprehension (VARC), and Quantitative Aptitude (QA). The questions often asked in the CAT question paper are mostly taken from the middle school mathematics books of class 9th and 10th, and English topics.
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CAT exam date 2021 is November 28. The duration of the Common Admission Test (CAT) is two hours (120 minutes), and for each CAT section, the time limit is 40 minutes (for PwD candidates, 53 minutes and 20 seconds). The CAT exam pattern 2021 remains unchanged and is similar to last year. A total of 76 questions are expected to be asked in the CAT 2021 question paper. It is expected that there will be 26 questions in the VARC and QA section and 24 questions in the DILR section.
CAT 2021 exam pattern: Expected no of questions
CAT Sections |
Total questions |
MCQs |
Non-MCQs |
Maximum marks |
Verbal Ability & Reading Comprehension (VARC) |
26 |
18 |
8 |
78 |
Data Interpretation & Logical Reasoning (DILR) |
24 |
18 |
6 |
72 |
Quantitative Aptitude (QA) |
26 |
18 |
8 |
78 |
Total |
76 |
54 |
22 |
228 |
CAT 2021: Marking Scheme
-
For every right answer, +3 will be awarded.
-
For every wrong answer in MCQs, -1 will be deducted.
-
No negative marks for Non-MCQs.
Section-wise CAT Exam Syllabus 2021
The CAT syllabus 2021 gives a good idea of how to prepare for the CAT exam 2021 . The topics under the IIM CAT exam syllabus 2021 are given below in detail.
Sections in CAT 2021 |
CAT 2021 important topics |
Important topics for CAT Verbal Ability & Reading Comprehension (VARC) |
|
CAT important topics for Data Interpretation & Logical Reasoning (DILR) |
|
CAT topics for Quantitative Aptitude (QA) |
|
CAT 2021: Important topics to prepare VARC section
The number of topics and expected questions in CAT Verbal Ability & Reading Comprehension.
Topics |
Number of questions expected |
Para-jumbles |
2-4 |
Sentence completion & correction |
2-3 |
Odd sentences |
1-2 |
Others (Fill in the blanks, Vocabulary based, etc.) |
1-2 |
4 to 5 Passages |
At least 24 questions |
CAT 2021: Important topics to prepare DILR section
The number of topics and expected questions in the CAT 2021 DILR section
Topics |
Total number of questions |
Graph, Bar diagram |
6-8 |
Tables & Charts |
5-8 |
Graphs, Charts |
7-10 |
Tables, Pie chart |
4-5 |
CAT 2021: Important topics to prepare QA section
The number of topics and expected questions in the CAT exam QA section
Topics |
Total number of questions |
Arithmetic Questions |
10-12 |
Geometry & Mensuration |
7-8 |
Algebra |
6-7 |
Number System |
4-5 |
Others |
2-3 |
Best Books for preparation of CAT 2021 VARC, DILR, and QA sections
Best books for CAT 2021 preparation |
Author/ Publication |
Verbal Ability & Reading Comprehension (VARC) |
|
How to Prepare for the VARC for the CAT |
Arun Sharma and Meenakshi Upadhyay (Tata McGraw-Hill) |
The Pearson Guide to Verbal Ability and Logical Reasoning (VARC) |
Nishit Sinha |
Word Power Made Easy |
Norman Lewis |
Data Interpretation & Logical Reasoning (DILR) |
|
Logical Reasoning and Data Interpretation for the CAT |
Nishit K. Sinha |
Data Interpretation & Data Sufficiency |
Ananta Ashisha |
How to Prepare for DILR for CAT (Tata McGraw-Hill) |
Arun Sharma |
Quantitative Aptitude (QA) |
|
The Complete CAT Digest, by Tata McGraw-Hill |
Arun Sharma |
Quantitative Aptitude for Competitive Examinations |
EAbhijit Guha (Tata McGraw-Hill) |
How to Prepare for Data Interpretation for CAT |
Arun Sharma |
QA for CAT and Other MBA Entrance Exams |
Trishna Knowledge Systems (Pearson) |
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