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NTT Data Placement Papers 2025 - Previous Year Questions PDF Download, Online Assessment Pattern & Solutions

Download free NTT Data placement papers PDF 2025, previous year questions with solutions, detailed exam pattern, interview questions, and complete preparation guide. Access NTT Data last 5 years placement papers with solutions PDF download.

NTT Data is a global IT services company providing digital transformation and technology consulting. Founded in 1988, NTT Data has operations in 50+ countries and serves clients across industries including healthcare, financial services, and manufacturing. NTT Data India has a large engineering workforce and is one of the top recruiters of engineering graduates in India.


Headquarters: Tokyo, Japan
Employees: 190,000+ globally

Industry: IT Services and Consulting
Revenue: $20+ Billion USD (2023)

NTT Data Eligibility Criteria for Freshers 2025-2026

Section titled “NTT Data Eligibility Criteria for Freshers 2025-2026”

Academic Requirements

Minimum Percentage: 60% or 6.0+ CGPA in 10th, 12th, and graduation

Degree: B.E./B.Tech/M.E./M.Tech/MCA/M.Sc (CS/IT)

Year of Study: Final year students and recent graduates (within 2 years)

Backlogs: No active backlogs at the time of selection

Branch Eligibility

Eligible Branches: Computer Science, Information Technology, Electronics, Electrical, and related engineering branches

Programming Focus: Basic programming knowledge required (C/C++/Java/Python)

Experience: Freshers and up to 2 years experience (for entry-level roles)

Additional Criteria

Gap Years: Maximum 2 years gap in education allowed

Course Type: Full-time degrees only

Nationality: Indian citizens (for India roles)

Associate Role

Primary Role: Associate (Entry-level position)

Salary Package: ₹4-5.5 LPA for freshers

Selection: Through NTT Data placement process (3 rounds)

Focus: Programming fundamentals, problem-solving, and technical skills

NTT Data Placement Papers - Download Previous Year Questions PDF

Section titled “NTT Data Placement Papers - Download Previous Year Questions PDF”

Access free NTT Data placement papers PDF and NTT Data previous year question paper with detailed solutions. Download NTT Data last year question paper and NTT Data question paper PDF from previous years with comprehensive question banks covering aptitude, coding, and technical concepts.

NTT Data Last 3 Years Placement Papers with Solutions PDF Download

Section titled “NTT Data Last 3 Years Placement Papers with Solutions PDF Download”

2024 Placement Papers PDF

Download NTT Data placement papers 2024 PDF with previous year aptitude questions, coding problems, solutions, and exam pattern analysis.


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2025 Placement Papers PDF

Download latest NTT Data placement papers 2025 PDF with current year aptitude questions, coding problems, solutions, and updated exam patterns.


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2026 Preparation Guide

Prepare for NTT Data placement 2026 with expected exam pattern, question types, and comprehensive preparation strategy.


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What's Included

Complete NTT Data placement papers (2024-2026) with aptitude questions, coding problems, detailed solutions, answer keys, exam pattern analysis, and topic-wise organization.

Campus Recruitment

On-Campus Drives: NTT Data visits colleges for campus recruitment. Check with your placement cell for drive dates and registration.

Off-Campus Hiring

Online Applications: Apply through NTT Data careers portal or job portals like Naukri, LinkedIn, and Indeed.

Referral Program

Employee Referrals: Get referred by current NTT Data employees for faster processing and better chances of selection.

Detailed NTT Data Online Assessment Exam Pattern 2025

Section titled “Detailed NTT Data Online Assessment Exam Pattern 2025”

The NTT Data placement process focuses on assessing aptitude, technical knowledge, and coding skills. Understanding the detailed exam pattern is crucial for effective preparation.

  1. Online Assessment (OA) - 90 minutes

    Total Duration: 90 minutes Total Questions: 25-30 questions Format: Online assessment Negative Marking: No negative marking Platform: NTT Data assessment platform

    Section-wise Breakdown:

    SectionQuestionsTimeDifficultyFocus Areas
    Aptitude15-1845 minMediumQuantitative, Logical Reasoning, Verbal
    Technical5-720 minMediumProgramming, Data Structures, DBMS
    Coding1-225 minMedium-HardArray, String, Basic Algorithms

    Section Details:

    • Aptitude: Quantitative aptitude (number systems, percentages, ratios), Logical reasoning (puzzles, sequences, patterns), Verbal ability (reading comprehension, grammar, vocabulary)
    • Technical: Basic programming concepts (C/C++/Java/Python), Data structures (arrays, linked lists, stacks, queues), DBMS basics (SQL queries, normalization), OOPs concepts
    • Coding: 1-2 programming problems requiring solutions in C, C++, Java, or Python. Problems typically involve array manipulation, string processing, or basic algorithms

    Important Notes:

    • Sectional cutoffs apply - must clear each section
    • Overall cutoff typically 60-65%
    • At least 1 coding problem must be solved correctly
    • Time management is crucial

    Success Rate: ~25-30% of candidates clear this round

  2. Technical Interview - 45 minutes

    Format: Virtual or Onsite Total Problems: 2-3 coding problems Language: C, C++, Java, or Python Time: 45 minutes

    Problem Types:

    • Array manipulation problems
    • String processing
    • Basic algorithm implementation
    • Data structure problems

    Passing Criteria: Clear explanation of approach, working code, and problem-solving ability

    Evaluation:

    • Problem-solving approach
    • Code quality and correctness
    • Technical knowledge (DBMS, OOPs, OS)
    • Project discussion

    Success Rate: ~60-70% of candidates from OA advance

  3. HR Interview - 30 minutes

    Format: Virtual or Onsite

    • Personal Background: Educational background, family, interests
    • Company Fit: Why NTT Data, knowledge about company
    • Career Goals: Short-term and long-term career plans
    • Communication: Clarity, confidence, and professional communication

    Success Rate: ~80-85% of candidates from technical interview get offers

PhaseDurationKey Activities
Application & Screening3-5 daysResume screening, eligibility verification
Online Assessment1 dayAptitude, technical, and coding test
Results & Shortlisting2-3 daysAssessment results, candidate shortlisting
Technical Interview1 dayTechnical interview round
HR Interview1 dayHR interview round
Result Declaration3-5 daysOffer letter distribution

NTT Data aptitude questions form an important part of the Online Assessment in NTT Data placement papers, typically comprising 15-18 questions out of 25-30 total questions. These questions test quantitative ability, logical reasoning, and verbal skills.

Key Points:

  • Weightage: 15-18 questions out of 25-30 total in NTT Data placement paper
  • Difficulty: Medium (comparable to other service-based companies)
  • Time: 45 minutes for aptitude section
  • Strategy: Focus on speed and accuracy, practice previous year papers
  • Topics: Quantitative (number systems, percentages, ratios), Logical Reasoning (puzzles, sequences), Verbal (reading comprehension, grammar)

NTT Data Placement Interview Experiences - Overview

Section titled “NTT Data Placement Interview Experiences - Overview”

Learn from real NTT Data placement interview experiences shared by candidates who successfully cleared the placement process. These authentic stories help you understand what to expect and how to prepare effectively.

Key Insights from Interview Experiences:

  • Technical interview focuses on fundamentals rather than advanced algorithms
  • Coding problems are typically medium difficulty
  • Project discussion is important - be ready to explain your projects in detail
  • HR interview is conversational and focuses on company fit
  • Time management during online assessment is crucial

Programming Fundamentals

C/C++/Java/Python: Basic syntax, data types, operators, control structures

Functions/Methods: Function definition, parameters, return types

Pointers/References: Memory management concepts

File Handling: Basic file operations

Data Structures

Arrays: Single and multi-dimensional arrays, array manipulation

Linked Lists: Singly linked lists, basic operations

Stacks & Queues: Implementation and applications

Trees: Binary trees, tree traversal (basic)

Database Concepts

SQL Basics: SELECT, INSERT, UPDATE, DELETE queries

Joins: Inner join, left join, right join

Normalization: 1NF, 2NF, 3NF concepts

DBMS Fundamentals: ACID properties, transactions

Object-Oriented Programming

OOPs Concepts: Classes, objects, inheritance, polymorphism

Encapsulation: Data hiding, access modifiers

Abstraction: Abstract classes, interfaces

Exception Handling: Try-catch blocks, error handling

NTT Data HR Interview Questions - Overview

Section titled “NTT Data HR Interview Questions - Overview”

Prepare for NTT Data placement HR interview with common questions and effective strategies. NTT Data HR interview is conversational and focuses on company fit, career goals, and communication skills.

Common HR Interview Topics:

  • Tell me about yourself
  • Why NTT Data?
  • What do you know about NTT Data?
  • Where do you see yourself in 5 years?
  • What are your strengths and weaknesses?
  • Why should we hire you?
  • Questions about your projects and internships

Preparation Strategy for NTT Data Placement Papers - Overview

Section titled “Preparation Strategy for NTT Data Placement Papers - Overview”

Key Preparation Principles:

  • Aptitude: 40% time allocation - Practice quantitative, logical reasoning, and verbal ability using previous year papers
  • Coding: 30% - Solve problems in C, C++, Java, or Python focusing on arrays, strings, and basic algorithms
  • Technical Concepts: 20% - Review DBMS, OOPs, OS, and networking basics
  • Interview Preparation: 10% - Practice technical and HR interview questions

Preparation Approaches:

  • Intensive 2-Month Plan: For candidates with strong programming background, focus on aptitude practice and mock tests
  • Extended 3-Month Plan: For candidates needing more practice, cover all topics systematically with daily practice
  • Practice with Placement Papers: Use NTT Data placement papers for realistic practice and time management
LevelExperienceBase SalaryTotal PackageTypical Background
Associate0₹3.5-4 LPA₹4-5.5 LPAFresh graduates
Associate1-2 years₹5-6 LPA₹6-7 LPA1-2 years experience
Software Engineer2-3 years₹7-8 LPA₹8-10 LPA2-3 years experience
Senior Software Engineer3-5 years₹10-12 LPA₹12-15 LPA3-5 years experience
RoleLevelTotal PackageRequirements
QA EngineerEntry₹3.5-4.5 LPATesting knowledge, ISTQB certification preferred
Business AnalystEntry₹5-7 LPABusiness analysis skills, communication
  • Health Insurance: Comprehensive health insurance for employee and family
  • Retirement Benefits: Provident Fund (PF) and gratuity
  • Learning & Development: Training programs, certifications, skill development
  • Work-Life Balance: Flexible work arrangements, work from home options
  • Career Growth: Clear career progression paths, internal job postings
  • Additional Benefits: Performance bonuses, meal vouchers, transportation allowance

Hiring Trends 2025

Increased Hiring: NTT Data continues to hire aggressively in 2025, especially for digital transformation roles

Focus Areas: Cloud computing, AI/ML, data analytics, and cybersecurity

Geographic Expansion: Increased hiring in tier-2 and tier-3 cities in India

Process Changes

Online Assessment: Continued use of online assessment platform with updated question bank

Virtual Interviews: Most interviews conducted virtually with option for onsite

Faster Processing: Reduced time from application to offer (2-3 weeks)

New Initiatives

Early Career Programs: New programs for fresh graduates with structured training

Diversity & Inclusion: Increased focus on hiring diverse talent

Skill-Based Hiring: Emphasis on skills and problem-solving ability over just academic scores

Company Growth

Digital Services: Strong growth in digital transformation services

Healthcare & Life Sciences: Expansion in healthcare technology solutions

Financial Services: Continued focus on banking and financial services technology

Frequently Asked Questions (FAQ) - NTT Data Placement

Section titled “Frequently Asked Questions (FAQ) - NTT Data Placement”
What are NTT Data placement papers?

NTT Data placement papers are previous year question papers from NTT Data recruitment tests and interview rounds. These papers contain aptitude questions, coding problems, technical questions, and interview questions that help students understand the exam pattern and prepare effectively for NTT Data placement process.

Are NTT Data placement papers free to download?

Yes, all NTT Data placement papers on our website are completely free to access and download. You can practice unlimited NTT Data placement questions and previous year papers without any registration or payment.

Can I download NTT Data placement papers PDF?

Yes, you can access NTT Data placement papers online with previous year aptitude questions, coding problems, and interview questions. Our website provides NTT Data placement papers PDF download, NTT Data previous year questions with solutions, NTT Data aptitude questions, and NTT Data interview questions. All papers are completely free and require no registration.

How recent are the NTT Data placement papers available?

We provide NTT Data placement papers from recent years including 2024 and 2025. Our collection is regularly updated with the latest questions and exam patterns.

What topics are covered in NTT Data placement papers?

NTT Data placement papers cover: Aptitude (Quantitative, Logical Reasoning, Verbal Ability), Technical (Programming, Data Structures, DBMS, OOPs), Coding Problems (Array manipulation, String processing, Basic algorithms), and Interview Questions (Technical and HR).

What is the NTT Data placement process?

NTT Data placement process includes: 1. Online Assessment (90 minutes) - Aptitude, Technical, and Coding sections, 2. Technical Interview (45 minutes) - Programming problems, technical concepts, project discussion, 3. HR Interview (30 minutes) - General discussion, compensation, role expectations. Total duration: Approximately 2-3 weeks from application to offer.

What is NTT Data exam pattern?

NTT Data exam pattern includes: Total Duration: 90 minutes, Sections: Aptitude (15-18 Q), Technical (5-7 Q), Coding (1-2 problems), Format: Online assessment, Negative Marking: No negative marking, Passing Criteria: Sectional and overall cutoffs (typically 60-65% overall).

How long is the NTT Data placement process?

The NTT Data placement process typically takes 2-3 weeks from application to offer letter. This includes: Application screening (3-5 days), Online Assessment (1 day), Results (2-3 days), Technical Interview (1 day), HR Interview (1 day), and Result Declaration (3-5 days).

How many rounds are there in NTT Data interview?

NTT Data interview process consists of 3 rounds: 1. Online Assessment (90 minutes), 2. Technical Interview (45 minutes), 3. HR Interview (30 minutes). Total duration: Approximately 2-3 weeks from application to offer letter.

What questions are asked in NTT Data technical interview?

NTT Data technical interview questions include: Programming fundamentals (C/C++/Java/Python), Data structures (arrays, linked lists, stacks, queues), DBMS concepts (SQL queries, normalization), OOPs concepts (inheritance, polymorphism), Coding problems (array manipulation, string processing), and Project discussion (technologies used, challenges faced).

What is asked in NTT Data HR interview?

NTT Data HR interview questions include: Tell me about yourself, Why NTT Data?, What do you know about NTT Data?, Where do you see yourself in 5 years?, What are your strengths and weaknesses?, Why should we hire you?, and Questions about your projects and internships.

What is NTT Data eligibility criteria for freshers 2025?

NTT Data eligibility criteria for freshers 2025: Minimum 60% or 6.0+ CGPA in 10th, 12th, and graduation. B.E./B.Tech/M.E./M.Tech/MCA/M.Sc (CS/IT) degrees required. No active backlogs allowed. Final year students and recent graduates within 2 years are eligible. Maximum 2 years gap in education allowed.

What is NTT Data eligibility criteria for freshers 2026?

NTT Data eligibility criteria for freshers 2026 are the same as 2025: Minimum 60% or 6.0+ CGPA in 10th, 12th, and graduation. B.E./B.Tech/M.E./M.Tech/MCA/M.Sc (CS/IT) degrees required. No active backlogs allowed. Final year students and recent graduates within 2 years are eligible.

What is the minimum CGPA required for NTT Data?

The minimum CGPA required for NTT Data is 6.0 CGPA (60%) across all academic levels: 10th Standard: 6.0 CGPA (60%), 12th Standard: 6.0 CGPA (60%), Graduation: 6.0 CGPA (60% aggregate). However, candidates with higher CGPA (7.0+ or 70%+) have better chances of selection.

Can I apply to NTT Data with backlogs?

No, NTT Data does not allow active backlogs at the time of selection. All backlogs must be cleared before the final selection. However, you can apply if you have cleared all backlogs and meet other eligibility criteria.

What is NTT Data salary for freshers?

NTT Data salary for freshers (2025): Associate: ₹4-5.5 LPA for new graduates, Associate: ₹6-7 LPA (1-2 years experience), Software Engineer: ₹8-10 LPA (2-3 years). All figures are total annual compensation including base salary, bonuses, and benefits.

What is the Associate role at NTT Data?

Associate is the primary entry-level role for freshers at NTT Data: Role: Associate (Entry-level position), Salary Package: ₹4-5.5 LPA for freshers, Selection: Through NTT Data placement process (3 rounds), Responsibilities: Software development, testing, maintenance, client support, Growth Path: Associate → Software Engineer → Senior Software Engineer.

How to prepare for NTT Data placement?

To prepare for NTT Data placement: 1. Aptitude (40% time) - Practice quantitative, logical reasoning, and verbal ability, 2. Coding (30%) - Solve problems in C, C++, Java, or Python, 3. Technical Concepts (20%) - Review DBMS, OOPs, OS, and networking basics, 4. Interview Preparation (10%) - Practice technical and HR interview questions. Focus on fundamentals and time management.

What topics should I focus on for NTT Data?

Focus on: Aptitude (Quantitative ability, Logical reasoning, Verbal ability) - 40% of preparation time, Coding (Array manipulation, String processing, Basic algorithms) - 30% of preparation time, Technical Concepts (DBMS, OOPs, OS, Networking basics) - 20% of preparation time, Interview Preparation (Technical and HR questions) - 10% of preparation time.

What programming languages are allowed in NTT Data?

NTT Data typically allows C, C++, Java, and Python for coding sections in both online assessment and technical interview. You can choose any of these languages based on your comfort level. All languages are treated equally in evaluation.

Why should I join NTT Data?

NTT Data offers: Global opportunities with operations in 50+ countries, Strong learning and development programs, Clear career progression paths, Competitive salary and benefits, Work-life balance with flexible arrangements, Diverse and inclusive work culture, Focus on digital transformation and cutting-edge technologies, Opportunities to work with Fortune 500 clients.

What is NTT Data known for?

NTT Data is known for: Digital transformation services, IT consulting and technology services, Strong presence in healthcare, financial services, and manufacturing industries, Large engineering workforce in India, Innovation in cloud computing, AI/ML, and data analytics, Client-focused approach and quality delivery.

NTT Data vs Infosys vs TCS - Which is better?

NTT Data: Global IT services company, ₹4-5.5 LPA for freshers, Focus on digital transformation, Strong in healthcare and financial services, US-based with large India operations.

Infosys: Indian IT services leader, ₹4-5.5 LPA for freshers, Focus on innovation and large-scale solutions, Strong training programs, Bengaluru-based.

TCS: Largest IT services company in India, ₹3.5-4 LPA for freshers, Focus on consulting and IT services, Strong brand value, Mumbai-based.

Choose NTT Data if you prefer global exposure and digital transformation focus. Choose Infosys if you value innovation and training programs. Choose TCS if you prefer the largest IT services company with strong brand value.

Explore related NTT Data placement paper topics and preparation guides:


Ready to start your NTT Data preparation? Practice with our NTT Data placement papers and focus on mastering fundamentals in programming, aptitude, and technical concepts. Consistent practice with previous year papers is key to success.

Pro Tip: Focus on time management during the online assessment. Practice solving aptitude questions quickly and accurately. For coding problems, prioritize getting at least one problem completely correct over attempting multiple problems partially.

Last updated: November 2025