Capgemini Aptitude Questions: 2026 Test Pattern and Worked Examples

Capgemini’s aptitude test in 2026 covers four sections, and the quantitative module alone trips up candidates who haven’t revised profit-loss, ratio, and time-speed-distance since their engineering entrance days.

Most preparation resources either focus entirely on the older MCQ-only format or skip the quantitative section in favour of the game-based module. This guide covers both: worked examples for the question types that appear in Capgemini’s quantitative paper, and a clear picture of where the game-based section fits in the full assessment.

Capgemini’s Aptitude Test Structure in 2026

The online assessment for Capgemini fresher roles runs across four scored sections, followed by a technical interview and HR round.

Section	Format	Primary Skills Tested
Pseudocode	MCQ	Code tracing without knowing a programming language
Quantitative Aptitude	MCQ	Arithmetic, percentages, ratios, time-speed-distance
Verbal Ability	MCQ	Grammar, reading comprehension, vocabulary
Game-Based Aptitude	Interactive games	Pattern recognition, deductive logic, cognitive speed
Technical Interview	Panel	CS fundamentals, data structures, project discussion
HR Interview	Panel	Communication, situational response

Two hiring tracks are open to freshers, with different cutoffs and packages:

Track	Package	Selection Criteria
Analyst	Rs.4.0–4.5 LPA	Standard cutoffs across all four online sections
Senior Analyst	Rs.6.5–7.5 LPA	Higher cutoffs plus an advanced technical interview

The shift that gets the most attention is the game-based aptitude module, which replaced the traditional logical reasoning MCQ section. The quantitative section has not changed in format. It remains a timed MCQ paper and draws from the same topic clusters it has covered for years.

Consistent performance across all four sections matters more than excelling in one. A candidate who scores at the top of quantitative but below par on pseudocode still risks missing the Senior Analyst cutoff.

Quantitative Aptitude: Topics and Worked Examples

The quantitative section tests standard competitive-math topics at a speed-and-accuracy level comparable to other mass-hiring campus placement papers. The question types cluster around five areas: profit and loss, ratio and proportion, averages, percentages, and time-speed-distance.

All worked solutions below are in step-by-step list format so the arithmetic is visible and auditable.

Profit and Loss

Profit-and-loss problems typically involve percentage gain or loss, dishonest trading using false weights, and markup-discount combinations. The false-weights variant requires applying successive percentage changes, not a simple addition.

• Q: A trader uses false weights and gains 10% while buying and 10% while selling. What is the total profit percentage?
• Step 1: Treat each gain as a successive multiplier on the cost base.
• Step 2: Total profit = (1 + 10/100) × (1 + 10/100) × 100 − 100
• Step 3: = 1.1 × 1.1 × 100 − 100 = 121 − 100 = 21%
• Answer: 21%
• Shortcut: For two successive gains x and y on the same base, the combined percentage is x + y + (x × y)/100. For x = y = 10: 10 + 10 + 1 = 21%.
• Common error: Adding the two 10% gains directly to get 20% and stopping. That skips the compounding effect, which adds the extra 1% and matters in tighter calculation variants too.

Ratio, Proportion, and Mixtures

Alligation is the fastest method for mixture problems. Capgemini papers include this variant regularly.

• Q: A trader mixes rice costing Rs.15 per kg with rice costing Rs.20 per kg to produce a blend priced at Rs.18 per kg. In what ratio should he mix them?
• Alligation rule: Cheaper : Dearer = (Dearer price − Mean price) : (Mean price − Cheaper price)
• Step 1: 20 − 18 = 2 (parts of cheaper rice)
• Step 2: 18 − 15 = 3 (parts of dearer rice)
• Answer: Mix cheaper (Rs.15) to dearer (Rs.20) in the ratio 2:3.
• Verification: (2 × 15 + 3 × 20) / 5 = (30 + 60) / 5 = 90 / 5 = Rs.18 per kg ✓
• Sanity check: The mean price (Rs.18) is closer to the dearer (Rs.20) than to the cheaper (Rs.15), so you expect more of the dearer ingredient. The ratio 2:3 confirms that — three parts Rs.20 rice vs two parts Rs.15 rice.

Averages

Changed-average problems are a staple in Capgemini quantitative sets and take less than 30 seconds once you know the sum-based approach.

• Q: The average of five numbers is 7. When a sixth number is added, the new average becomes 8. What is the sixth number?
• Step 1: Sum of original five numbers = 5 × 7 = 35
• Step 2: Required sum of six numbers = 6 × 8 = 48
• Step 3: Sixth number = 48 − 35 = 13
• Answer: 13
• Variation: If the average drops when a number is removed, the same logic applies in reverse. The removed number = original sum − new sum.

Time, Speed, and Distance

Boats-and-streams problems are the sub-type that appears most often. They require setting up one equation from the given time, then solving for the unknown speed. The problem below is reproduced from a classic Capgemini aptitude set with the boat speed stated explicitly.

• Q: A motorboat, whose speed in still water is 5 km/h, travels 90 km downstream and returns to the starting point. The total journey takes 100 hours. What is the speed of the river current?
• Let river current speed = r km/h
• Downstream speed = (5 + r) km/h; Upstream speed = (5 − r) km/h
• Step 1: Time equation: 90 / (5 + r) + 90 / (5 − r) = 100
• Step 2: Multiply both sides by (5 + r)(5 − r): 90(5 − r) + 90(5 + r) = 100(25 − r²)
• Step 3: 450 − 90r + 450 + 90r = 2500 − 100r²
• Step 4: 900 = 2500 − 100r² → 100r² = 1600 → r² = 16 → r = 4
• Answer: 4 km/h
• Verification: 90 / (5 + 4) + 90 / (5 − 4) = 90/9 + 90/1 = 10 + 90 = 100 hours ✓
• Pattern to remember: Write downstream speed as (boat + current), upstream as (boat − current), form the time equation, then clear the fractions. This sequence handles every boats-and-streams variant in the Capgemini paper.

Game-Based Aptitude Section

The game-based module replaced the traditional logical reasoning MCQ section and is the component students find hardest to prepare for, because it doesn’t map to a fixed topic list.

Three cognitive areas show up consistently:

• Pattern recognition: Identify the rule governing a sequence of shapes, colours, or symbols, then apply it to fill a gap in the sequence. The difficulty scales from simple alternating patterns to multi-variable rules.
• Deductive logic: Rule out options based on a stated set of constraints, similar to the exclusion reasoning in classic statement-conclusion problems.
• Numerical estimation: Quick magnitude comparison or approximate calculation within a tight time window, typically five to ten seconds per item.

The practical preparation strategy is to treat these as timed cognitive drills rather than topic revision. Accuracy under a fixed time window matters more than any particular formula.

One important note: preparing classic logical reasoning questions (syllogisms, blood relations, series) still builds the pattern-recognition and deductive-logic skills the game-based section measures. The delivery changes; the underlying cognitive demand does not.

For the full game-based question taxonomy, sample puzzle formats, and timed practice recommendations, see Capgemini Logical Reasoning and Game-Based Aptitude: 2026 Guide.

Capgemini’s Full Selection Process

The aptitude test is one stage in a multi-step process. Candidates who prepare only for quantitative topics and ignore pseudocode or verbal regularly fail the screen despite strong arithmetic scores.

The typical progression:

1. Online Assessment (pseudocode + quantitative + verbal + game-based in one sitting)
2. Technical Interview (CS fundamentals, data structures, one or two project questions)
3. HR Interview (communication, problem-solving approach, career goals)

Both the Analyst and Senior Analyst tracks follow this sequence. The difference is that the Senior Analyst cutoff is higher at the online assessment stage, and the technical interview goes deeper into applied problems.

For complete eligibility criteria, a step-by-step account of what happens after the online test, and the typical timeline from application to offer, see Capgemini Recruitment Process for Freshers.

Four-Week Preparation Timeline

Four weeks covers Capgemini’s quantitative aptitude syllabus from scratch, assuming two to three hours of daily practice. The plan below front-loads arithmetic to build speed early, then shifts to mixed mocks.

Week	Focus	Goal
1	Profit-Loss, Percentages, Averages	Solve 10-question timed sets under 15 minutes with no formula lookups
2	Ratio, Mixtures, Time-Speed-Distance	Cover every sub-type: alligation, boats-streams, trains, work-time
3	Full-length quantitative mock tests	Target sub-30-minute completion; review every wrong answer from first principles
4	Game-based drills plus full online mock	Simulate the complete four-section test under test conditions

The pattern of Weeks 1 and 2 is deliberate: cover each topic in isolation first, then mix. Mixed mocks in Week 3 reveal which areas still cost time. Week 4 is simulation, not new topics.

Accuracy matters more than raw speed in Weeks 1 and 2. A student who solves fewer questions cleanly builds a stronger foundation than one who rushes through a topic and carries errors into mock tests.

For a broader framework on allocating aptitude preparation time across multiple companies simultaneously, including how to sequence Capgemini alongside TCS, Infosys, and Wipro preparation, see Aptitude Test Preparation for Engineering Placements.

Capgemini’s 2026 Hiring Direction

Capgemini planned to hire up to 45,000 employees in 2025, with a declared focus on building an AI-ready workforce. The company has also partnered with Nasscom Foundation to train over 700 youths in AI skills across technical and applied tracks.

Clearing the quantitative aptitude section is the entry condition. What you build after crossing that bar determines which salary band you land in.

The four-week quantitative plan above handles the filter round. Building AI skills alongside placement prep is the layer that separates candidates in Capgemini’s AI-ready hiring pool from those who only cleared the aptitude screen. TinkerLLM offers a low-cost entry point at Rs.299 where you work directly with language models through hands-on exercises rather than watching passive video content.