Capgemini Online Test Syllabus: 2026 Complete Guide

Capgemini’s 2026 campus assessment runs four scored sections: Pseudocode, Quantitative Aptitude, Verbal Ability, and a Game-Based Aptitude module.

The selection process adds a technical interview and HR round after the online test clears. Both hiring tracks (Analyst and Senior Analyst) go through the same four-section test; what separates them is the cutoff threshold and whether a coding round follows.

Section Overview for the 2026 Online Test

Section	Format	Duration
Pseudocode (Technical MCQ)	MCQ	30 minutes
Quantitative Aptitude	MCQ	20–25 minutes
Verbal Ability	MCQ	25–30 minutes
Game-Based Aptitude	4 games from 24	20–24 minutes
Behavioural Competency Profiling (ADEPT-15)	100 statement pairs	~20 minutes

The Behavioural Competency Profiling section runs after the four scored sections and is not an elimination round. Scores from the four main sections determine whether a candidate advances to the interview stage.

Capgemini at some campuses conducts its drives through CoCubes or HirePro platforms. The interface differs, but the section structure stays consistent. The CoCubes exam pattern and syllabus guide covers the platform-level differences for campuses routed through CoCubes.

Track	Package	Path
Analyst	Rs.4.0–4.5 LPA	Four-section online test + technical + HR
Senior Analyst	Rs.6.5–7.5 LPA	Four-section test + coding round + advanced technical + HR

Pseudocode Section: Topics and Format

The Pseudocode section tests programming logic through MCQs. No actual coding is required. Candidates read pseudocode snippets and determine what the code does: output prediction, loop tracing, and variable tracking.

Webcam proctoring is active for this section. No negative marking applies.

Topics covered in the Pseudocode section:

• Data structures: arrays, linked lists, stacks, queues, trees
• Algorithms: sorting (bubble, selection, insertion, merge), binary search, basic recursion
• Object-Oriented Programming: classes, objects, inheritance, polymorphism, encapsulation
• Control flow: loops, conditionals, nested structures, break and continue logic
• Language interpretation: C, C++, Java, and Python syntax at a read-and-trace level

Difficulty sits at easy to medium. Questions test reading and tracing logic, not writing fresh code from scratch.

One common pitfall: students who know a specific programming language read pseudocode through that language’s syntax rules and get tripped up by small notational differences. Capgemini pseudocode uses a generic notation. Focus on control flow intent (what does the loop do, what does the condition check) rather than language-specific keyword behaviour.

Quantitative Aptitude: Syllabus

The quantitative section draws from standard campus placement math. Speed matters as much as accuracy because the time-per-question ratio is tight. The topic clusters overlap with what TCS NQT and Infosys Specialist Programmer tests cover, so combined prep works.

Topics covered in the Quantitative section:

• Profit and loss
• Ratio and proportion
• Mixtures and alligations
• Averages
• Percentages
• Time, speed, and distance
• Time and work
• Simple and compound interest
• Number systems and HCF/LCM
• Boats and streams
• Permutations and combinations (basic level)

For a systematic prep sequence across all quantitative topic clusters, the aptitude preparation guide for engineering placements covers the four-section structure that most campus hiring tests share.

Verbal Ability Section: Syllabus

The Verbal Ability section tests reading and grammar skills through MCQs. Some recent Capgemini hiring drives have included a short Written English Task (WET) within this section, asking candidates to write a brief essay on a given topic. Check your drive communication for whether the WET applies.

Webcam proctoring is active for this section in most drives. No negative marking applies.

Topics covered in the Verbal section:

• Reading comprehension: inference-based and fact-based questions from short passages
• Sentence correction and error spotting
• Grammar: prepositions, articles, subject-verb agreement, tenses
• Vocabulary: synonyms and antonyms
• Para jumbles and sentence arrangement
• Cloze test
• Active and passive voice
• Fact, inference, and judgement classification

Game-Based Aptitude Section: Format and Game Types

The Game-Based Aptitude section replaced the older logical reasoning MCQ paper. Candidates pick 4 games from a pool of 24 options. Each game runs within its own time window; the objective is to score as many points as possible before the timer ends.

This section does not require a webcam.

Common game types in the Capgemini pool:

• Deductive Logical Thinking (Geo-Sudo): find the missing symbol or visual in a grid using a stated rule
• Inductive Logical Thinking: identify which pair of figures follows the same rule as a given example pair
• Grid Challenge: symmetry checks between two different grids; sequence recall tasks
• Switch Challenge: spatial reasoning across switching positions and visual patterns
• Motion Challenge: maze navigation to find the path between two points in the fewest moves
• Digit Challenge: numerical sequence patterns and quick mental arithmetic

Game selection strategy matters. Candidates who pick unfamiliar game types lose warm-up time learning mechanics during the live test. Practice all six common types before the assessment so the selection takes seconds. The 20 to 24 minute window includes the time spent selecting games, and that clock does not pause.

The cognitive skills that show up here (pattern recognition, deductive reasoning, spatial logic) overlap with the skills built through classic logical reasoning MCQ practice. A walkthrough of question formats for both the game-based and older MCQ types is in the Capgemini logical reasoning and game-based aptitude guide.

Coding Round (Senior Analyst Track)

The coding round is not part of the standard four-section assessment. It applies only to candidates who qualify for the Senior Analyst track after clearing the online test with higher cutoffs.

Key details for the coding round:

• Language choice: C, C++, or Java
• Tests data structure implementation and algorithmic problem-solving
• Candidates need to clear as many test cases as possible per problem
• The number and difficulty of problems varies by hiring drive and batch

Strong, consistent performance across all four online sections is the primary qualifier for a coding round invitation.

Behavioural Competency Profiling (ADEPT-15)

The Behavioural Competency section runs after the four scored sections. It presents 100 pairs of statements; candidates select which statement they agree with more. Five pairs appear per screen; no item can be skipped.

ADEPT-15 is a psychometric framework developed by SHL, the assessment firm behind many campus hiring platforms. The 15 refers to 15 work-related personality dimensions measured. There is no universally desirable profile. Capgemini uses the results to place analysts into appropriate teams and roles.

This section carries no time limit (approximately 20 minutes in practice) and is not an elimination round. Answer consistently and honestly. Attempting to optimise for a perceived target profile typically produces inconsistent responses that the scoring algorithm flags.

The AI-Ready Workforce Angle

Capgemini planned to hire up to 45,000 in 2025 with an explicit focus on building an AI-ready workforce. Separately, the company partnered with Nasscom Foundation to train over 700 youths in technical and AI-linked skills, a consistent signal that AI literacy is a differentiator, not just a talking point.

The pseudocode section above tests the same programming logic that AI application development extends into a different domain. If you’re building a project portfolio ahead of your placement window, TinkerLLM starts at Rs.299 and takes you from a first API call to a deployed project.

For the broader picture of where AI skills fit in a 2026 placement strategy, see the 2026 AI roadmap for Indian engineering students.