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Qualifying is easier than you think — 33% is all it takes. Strategy, not intensity. 80 questions, 120 minutes, +2.5/−0.83 marking. Here's how to crack it.
80 Questions
2 hours
33% Qualifying
~66 marks out of 200
90 sec/question
Manage your pace
25-30 questions come from passages. Practice speed-reading: read the questions first, then scan the passage for answers. Most answers are directly stated — don't overthink.
CSAT math never goes beyond Class X NCERT. The challenge is speed, not difficulty. Master shortcuts: percentage-to-fraction conversions, approximation, and unit digits.
CSAT is qualifying (33% = 66 marks out of 200). You don't need to attempt all questions. Skip quant problems that look time-consuming — focus on comprehension and reasoning first.
Syllogisms, direction sense, blood relations — these follow fixed patterns. Once you learn the 4-5 templates, you can solve any question in under 30 seconds.
Data Interpretation looks intimidating but is literally just reading tables and doing basic arithmetic. The trick: ignore the chart initially, read the question, then look for the exact data point needed.
Long and short passages with factual and inferential questions. The bulk of CSAT — typically 25-30 questions.
Percentages, ratios, averages, time-speed-distance, profit-loss, simple/compound interest — Class X level math.
Syllogisms, blood relations, direction sense, seating arrangements, puzzles, and Venn diagrams.
Tables, bar charts, line graphs, pie charts — extracting and calculating from visual data.
10 questions covering reading comprehension, syllogisms, blood relations, direction sense, and seating arrangement — the core reasoning skills tested in UPSC GS Paper II (CSAT).
10 questions on data interpretation (table/bar chart), percentages, profit & loss, time-work, time-speed-distance, simple interest, and probability — the quantitative skills tested in UPSC CSAT Paper II.
80
Questions
All compulsory
120 min
Duration
90 sec/question
33%
Qualifying
≈66/200 marks
+2.5 / −0.83
Marking
No marks for blank
Number series, analogy, classification, coding-decoding, and mathematical operations.