The CAT 2027 LRDI exam can be challenging because the number of questions, set sizes and balance between Data Interpretation and Logical Reasoning may vary from one year to another. If you prepare only around expected topics or a fixed question pattern, you may struggle when the actual paper presents unfamiliar sets or a different mix of DI and LR.
To prepare effectively, you need to focus on skills rather than memorising fixed question types. MBA Wallah offers CAT preparation support through live and recorded classes, updated notes, 20+ mock tests, sectional tests, a doubt engine and batches such as MBA Pioneer and MBA Foundation covering VARC, DILR and QA.
The following table presents the historical pattern of the CAT DILR Exam Pattern. These figures show how the DILR section has changed across years and should not be treated as the confirmed CAT 2027 exam pattern.
|
Year |
Sets and Questions |
Total Questions |
|
2020 |
Four sets of 3 questions and two sets of 6 questions |
24 |
|
2021 |
Two sets of 4 questions and two sets of 6 questions |
20 |
|
2022 |
Four sets of 5 questions |
20 |
|
2023 |
Four sets of 5 questions |
20 |
|
2024 |
Three sets of 4 questions and two sets of 5 questions |
22 |
|
2025 |
Three sets of 4 questions and two sets of 5 questions |
22 |
The table shows that both the number of sets and questions per set have changed. The 2022 and 2023 papers followed four sets of five questions, while the 2024 and 2025 papers shifted to a combination of four- and five-question sets.
Previous-year questions are useful for understanding how DILR problems are constructed, but you should not expect complete sets to repeat in the same form.
The value of CAT DILR PYQs lies in developing familiarity with different approaches to arrangements, constraints, data interpretation and logical deductions. Instead of memorising the solution to a particular set, analyse how the information was organised and how the conditions were used.
The transferable skill is the ability to apply a similar reasoning process to a new set.
A strong DILR performance does not require attempting every question. Since individual sets can vary considerably in complexity, spending too much time on one unfamiliar set may reduce the opportunity to solve more manageable questions.
Answering approximately 10β12 questions correctly may be sufficient for a high percentile under some examination conditions. This should be treated only as preparation guidance and not as a guaranteed score-to-percentile conversion.
Accuracy and set selection should remain the priority. During practice, learn to identify sets where the information is easier to organise and avoid unnecessary attempts on sets that consume excessive time.
Basic mathematics plays an important role in DILR, particularly when sets involve calculations, numerical conditions or comparisons. A strong foundation also helps you prepare for Quant alongside LRDI.
Start by developing comfort with addition, subtraction, multiplication and division. Practise working with numerical combinations and understand how given conditions restrict possible values. Square roots and perfect squares should also become familiar through regular practice.
Number properties can help eliminate impossible cases in reasoning-based sets. Cover even and odd numbers, prime numbers, factors, multiples, HCF and LCM, and practise applying these properties to numerical conditions.
Percentages, ratios and averages frequently support Data Interpretation calculations. Practise percentage comparisons, ratio relationships and average-based calculations so that routine operations do not consume excessive time while solving a set.
Basic algebra helps convert verbal conditions into mathematical relationships. Learn to work with variables, form linear equations from statements and solve simple equations to organise constraints and test possible values.
Puzzle-solving can help develop the type of constraint-based thinking required for unfamiliar LRDI sets. These activities are not necessarily direct CAT question formats, but they can strengthen logical reasoning skills.
Sudoku: Helps with identifying fixed conditions and eliminating possibilities.
KenKen: Combines numerical operations with logical constraints.
Nonograms: Develop systematic deduction from multiple conditions.
Hashi or Bridges: Requires connecting elements while following specific constraints.
Queens puzzles: Helps develop positional reasoning and elimination.
Minesweeper: Encourages logical deduction from surrounding conditions.
The purpose of these puzzles is not to memorise solving patterns but to become more comfortable with testing possibilities and drawing conclusions from constraints.
A consistent routine is more useful than occasional long practice sessions. Combine mathematical exercises with reasoning-based puzzles and gradually increase the complexity of the problems you attempt.
Solve at least one reasoning-based puzzle.
Practise basic mathematical calculations.
Work with numerical constraints and combinations.
Analyse the approach used to solve each problem.
Gradually introduce more complex puzzles and LRDI sets.
LRDI preparation should fit into the broader CAT preparation plan rather than taking time away from the other sections. You need to build mathematical fundamentals for Quant while developing reading and comprehension skills for VARC.
Allocate regular time to VARC, LRDI and Quant.
Use mathematical practice to strengthen both Quant and DILR.
Set aside dedicated time for puzzle and LRDI practice.
Build fundamentals before moving towards intensive exam-specific testing.
Gradually increase the share of timed practice as the exam approaches.
Early preparation for CAT 2027 or CAT 2028 should focus on building these foundations. Once the basics are strong, you can move towards section-specific strategies, PYQs and full-length tests.
A practical CAT preparation strategy should focus on skills that remain useful even when the paper changes. Since the number of sets and the balance between DI and LR can vary, preparation should include both areas rather than relying on expected trends.
Strengthen calculations, percentages, ratios, averages, number properties and basic algebra. These concepts support both DI and Quantitative Aptitude.
Solve different puzzles and reasoning sets to become comfortable with conditions, possibilities, deductions and elimination.
Do not restrict DILR practice to one preferred question type. Work with arrangements, numerical sets, data-based problems and unfamiliar reasoning structures.
Study previous-year sets to understand how information is presented and how different conditions are connected. Focus on the solving approach rather than memorising answers.
Once your fundamentals are stable, use sectional tests and a CAT mock test to practise set selection, time allocation and accuracy under exam conditions.
Analyse why a set was solved correctly or incorrectly. Pay attention to calculation mistakes, missed conditions, inefficient approaches and poor set selection.
The CAT 2027 LRDI exam requires you to stay flexible because the number, structure and difficulty of sets may change across years. MBA Wallah supports CAT preparation with live and recorded classes, updated notes, 20+ mock tests, sectional tests and a doubt engine. Consistent practice alongside these resources can help you build the problem-solving skills needed to handle different DILR sets with greater confidence.