Data Interpretation & Logical Reasoning
is one of the sections of the
CAT 2022
from which a total of 20 questions will be asked. Candidates appearing for CAT 2022 on November 27th, 2022 are expected to have completed the CAT DILR 2022 Syllabus by now. As per the exam pattern, the DILR section will have 15 MCQ questions and 5 non-MCQ questions. For MCQ questions, candidates will be awarded 3 marks for each correct answer and ⅓ marks will be deducted for each wrong answer. However, for the non-MCQ questions for correct answers candidates will get 3 marks and there will be no negative marking.
Further, with the CAT 2022 exams just around the corner candidates will need some last-minute tips and techniques to score well in the CAT DILR 2022. So, here are some of the helpful tips to be noted:
Thorough with the Syllabus
By now, it is best to be thorough with the entire syllabus. Candidates may have completed the CAT DILR 2022 syllabus with repeated revisions of the syllabus. Also, the important topics must have been covered by the candidates, such as Seating Arrangement, Blood Relation, Syllogism, Tables, Graphs, Data Caselets, Ratings, and others.
Practise Shortcuts
The best way to crack CAT DILR 2022 questions is by using shortcuts. Sometimes the long methods to find the answers may be time-consuming, so it's best to learn tricks and shortcuts and practice them well enough to ensure to get the correct answers and not mix up the answer.
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Grasp on the Concepts
A proper grasp of the concepts will always keep you one step ahead of resolving problems quickly. And making acute and keen decisions at a time like this is the best way to resolve the questions fast and with accuracy.
Attempt Mock Test
The key to ensuring the best scores for the CAT DILR 2022 is only ample practice and mock tests. You may know the tricks and concepts well, but if you are unable to complete them in time, there will be no point. So, practice as much as possible to improve speed and accuracy to the best.
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Total Number of Questions in CAT 2022: Check previous year trends |
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