Download free Google placement papers 2025 with DSA questions and solutions. Access coding problems, system design, interview process, eligibility criteria, and complete preparation guide for 2025-2026.
Google is a multinational technology company focusing on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. Founded in 1998 by Larry Page and Sergey Brin, Google is now a subsidiary of Alphabet Inc.
Headquarters: Mountain View, CA
Employees: 180,000+ globally
Industry: Technology, Software
Revenue: $300+ Billion USD (2023)
Google eligibility criteria doesn’t have a strict minimum CGPA cutoff, but candidates with 6.0+ CGPA (60%) are eligible. However, the average selected candidate has 7.5-8.5 CGPA (75-85%). Here’s the detailed breakdown:
Minimum CGPA Required
10th Standard: 60% or 6.0 CGPA (no strict cutoff, but consistency matters)
12th Standard: 60% or 6.0 CGPA
Graduation: 60% or 6.0 CGPA (aggregate) - 70%+ preferred for better chances
Important: Google places more emphasis on technical skills and problem-solving ability than academic marks alone.
CGPA for Better Selection Chances
6.0-6.9 CGPA: Meets minimum requirement, eligible to apply
7.0-7.9 CGPA: Good chances, but technical skills crucial
7.5-8.5 CGPA: Average selected candidate range (best chances)
8.5+ CGPA: Excellent chances, combined with strong technical skills
Academic Requirements
Minimum CGPA Required for Placement in Google:
10th Standard: 60% or 6.0 CGPA (no strict cutoff, but consistency matters)
12th Standard: 60% or 6.0 CGPA
Graduation: 60% or 6.0 CGPA (aggregate) - 70%+ preferred for better chances
Degree: B.Tech/B.E./M.Tech/MCA in any engineering discipline
Year of Study: Final year students and recent graduates (within 2 years)
Backlogs: No active backlogs at the time of application
Branch Eligibility
Preferred Branches: Computer Science, Information Technology, Electronics
Also Eligible: All other engineering branches with strong programming skills
Non-Tech Roles: Business, Economics, MBA candidates for PM/Business roles
Experience: Freshers and up to 2 years experience (for entry-level L3 roles)
Additional Criteria
Programming Skills: Strong skills in at least one language (Python, Java, C++)
Competitive Programming: Participation in ACM ICPC, CodeChef, Codeforces (highly valued)
Open Source: Contributions to open source projects (highly valued)
Projects: Personal projects demonstrating technical depth
Communication: Strong communication skills in English
Software Engineer (L3) Role
Primary Role: Software Engineer L3 (Entry-level)
Salary Package: ₹30-45 LPA for freshers (total compensation)
Selection: Through online assessment and technical interviews
Focus Areas: DSA, system design basics, coding skills
Is 7 CGPA Good for Google?
Yes, 7.0 CGPA (70%) is good for Google. While there’s no strict cutoff, candidates with 7.0+ CGPA have better chances. However, Google places more emphasis on technical skills, problem-solving ability, and coding performance than academic marks alone.
Google CGPA Cutoff
No Strict Minimum: Google doesn’t have a fixed CGPA cutoff
Average Selected: 7.5-8.5 CGPA (75-85%) for most candidates
Technical Skills Matter More: Strong coding and problem-solving can compensate for lower CGPA
Download free Google placement papers 2025 with previous year questions, detailed solutions, exam pattern, and complete preparation guide. Access Google last 5 years placement papers with solutions PDF download and practice with solved questions covering all sections.
2024 Placement Papers PDF
Download Google placement papers 2024 PDF with previous year online assessment questions, solutions, and exam pattern analysis.
2025 Placement Papers PDF
Download latest Google placement papers 2025 PDF with current year online assessment questions, solutions, and updated exam patterns.
2026 Preparation Guide
Prepare for Google placement 2026 with expected online assessment pattern, question types, and comprehensive preparation strategy.
What's Included
Complete Google placement papers (2024-2026) with online assessment questions, detailed solutions, answer keys, exam pattern analysis, and topic-wise organization.
Get comprehensive access to Google last 5 years placement papers with solutions PDF download covering 2020-2025 online assessment exams. These papers include:
Campus Recruitment
Primary Method - Through college placement cells. Pre-placement talks followed by online assessments
Online Applications
Direct Apply - Via Google Careers portal
Open throughout the year for experienced roles
Referrals
Employee Referrals - Higher success rate
Internal recommendations from Google employees
The Google placement process begins with an online assessment (OA) that tests your coding skills, problem-solving ability, and computer science fundamentals. The process is highly competitive with approximately 15-20% of candidates advancing to interview rounds.
Resume Screening (1-2 weeks)
Initial screening based on academic performance, projects, and technical skills. Focus on:
Online Assessment (OA) - 90 minutes
Format: Conducted on Google’s internal platform or HackerRank
Section-wise Breakdown:
| Section | Questions | Time (Minutes) | Difficulty | Focus Areas |
|---|---|---|---|---|
| Coding Problem 1 | 1 | 30 | Medium | Arrays, strings, two pointers |
| Coding Problem 2 | 1 | 30 | Hard | Trees, graphs, dynamic programming |
| CS Fundamentals MCQs | 15-20 | 30 | Medium | DSA, time complexity, system design basics |
Success Rate: Approximately 15-20% candidates advance to interview rounds
Technical Interview Round 1 - 45-60 minutes
Interviewer: Senior Software Engineer or Staff Engineer
Technical Interview Round 2 - 45-60 minutes
Interviewer: Senior Engineer or Engineering Manager
Behavioral Interview - 30-45 minutes (Googleyness)
Interviewer: Engineering Manager or Senior Staff Engineer
Final Committee Review - 1 week
Hiring Committee: Panel of senior engineers and managers
| Phase | Duration | Key Activities |
|---|---|---|
| Resume Screening | 1-2 weeks | Initial evaluation and shortlisting |
| Online Assessment | 1 day | Scheduled coding test with immediate scoring |
| Interview Scheduling | 3-5 days | Coordination for technical and behavioral rounds |
| Technical Rounds | 1-2 weeks | Two technical interviews spaced 2-3 days apart |
| Behavioral Round | 3-5 days | Usually scheduled after technical rounds |
| Committee Review | 5-7 days | Final decision and offer preparation |
| Offer Communication | 1-2 days | Offer letter with joining details |
Practice with 30+ Google placement paper coding questions covering DSA problems, system design concepts, and technical fundamentals. These questions are representative of what you’ll encounter in Google’s online assessment and technical interviews.
What’s Included:
Complete Google Coding Questions Guide
Access complete guide to Google placement paper coding questions including:
Learn from authentic Google placement interview experiences shared by candidates who successfully cleared the placement process. These real stories help you understand what to expect, how Google evaluates candidates (Googleyness assessment), and how to prepare effectively.
Complete Interview Experiences Guide
Access comprehensive Google placement interview experiences including:
Core Data Structures
Arrays & Strings: Two pointers, sliding window, prefix sums
Linked Lists: Reversal, cycle detection, merging
Trees & Graphs: BFS/DFS, tree traversals, shortest paths
Hash Tables: Design, collision handling, time complexity
Heaps: Priority queues, heap operations, k-way merge
Dynamic Programming: Memoization, tabulation, optimization
Algorithms (High Priority)
Sorting: Quick sort, merge sort, counting sort applications
Searching: Binary search variants, two pointers technique
Graph Algorithms: Dijkstra, Union-Find, topological sorting
Tree Algorithms: LCA, tree DP, BST operations
String Algorithms: Pattern matching, suffix arrays
System Design Basics
Scalability: Horizontal vs vertical scaling strategies
Load Balancing: Round-robin, consistent hashing
Databases: SQL vs NoSQL, ACID properties, sharding
Caching: Redis, Memcached, cache eviction policies
APIs: RESTful design, rate limiting, authentication
CS Fundamentals
Operating Systems: Process management, memory, concurrency
Computer Networks: TCP/IP, HTTP/HTTPS, DNS, CDN
Database Management: Indexing, query optimization, transactions
Software Engineering: OOP principles, design patterns, testing
“Tell me about a time you led a technical project”
Use STAR method: Situation, Task, Action, Result
“Difficult teammate situation”
Focus on collaboration and problem-solving approach
“Most challenging technical problem you’ve solved”
Focus Areas:
“Learning new technology quickly”
Demonstrate learning strategy and practical application
“Why Google?”
Research-Based Answer:
“Staying updated with tech trends”
Show curiosity through blogs, courses, open source, networking
Data Structures & Algorithms
Priority: Critical
Time Allocation: 60% of preparation time
System Design
Priority: High (L4+ roles)
Time Allocation: 20% of preparation time
Behavioral Interview
Priority: High
Time Allocation: 15% of preparation time
CS Fundamentals
Priority: Medium
Time Allocation: 5% of preparation time
Foundation Building Phase
Intensive Practice Phase
Final Preparation Phase
| Level | Experience | Base Salary | Total Package | Typical Background |
|---|---|---|---|---|
| L3 | New Grad | ₹18-25 LPA | ₹30-45 LPA | Fresh graduates, top-tier colleges |
| L4 | 0-2 years | ₹25-35 LPA | ₹45-70 LPA | 1-2 years experience, strong performers |
| L5 | 3-5 years | ₹40-60 LPA | ₹70-120 LPA | Senior engineers, tech leads |
| L6 | 6+ years | ₹70-100 LPA | ₹1 Cr+ | Staff engineers, managers |
| Role | Level | Total Package | Requirements |
|---|---|---|---|
| Product Manager | APM/PM | ₹35-60 LPA | MBA preferred, product sense |
| Data Scientist | L4-L5 | ₹40-80 LPA | ML/AI expertise, PhD preferred |
| Site Reliability Engineer | L4-L5 | ₹45-85 LPA | DevOps, distributed systems |
| UX Designer | UX3-UX4 | ₹30-55 LPA | Design portfolio, user research |
Hiring Trends 2025
System Design Focus: Even L3 roles now include basic system design questions
AI/ML Emphasis: Growing demand for candidates with machine learning and AI experience
Product Sense: Technical roles increasingly require understanding of product impact
Open Source Contributions: Higher weightage given to GitHub profiles and contributions
Process Changes
Extended Interview Process: Additional behavioral round for cultural fit assessment
Pair Programming: Some teams now include collaborative coding sessions
Take-Home Assignments: For certain specialized roles, 2-3 day coding challenges
Continuous Evaluation: Multiple checkpoints instead of single elimination rounds
New Initiatives
Campus Ambassador Program: Enhanced university partnerships for early talent identification
Diversity Hiring: Increased focus on recruiting from diverse backgrounds and colleges
Remote-First Roles: More positions available for remote work from tier-2/3 cities
Internship to Full-Time: Higher conversion rates from internship programs
Competition & Market
Salary Inflation: 15-20% increase in compensation packages compared to 2024
Faster Decision Making: Reduced time-to-hire to compete with other tech giants
Flexible Joining: Multiple joining dates throughout the year instead of fixed cycles
Counter-Offer Strategy: Competitive packages to retain talent against other FAANG companies
Google placement papers are previous year question papers from Google recruitment tests and interview rounds. These papers include online assessment questions, coding problems, system design questions, and interview experiences. These papers help students understand the exam pattern, question types, difficulty levels, and prepare effectively for Google placement process.
Yes, all Google placement papers on our website are completely free to access and download. You can practice unlimited questions without any registration or payment. All papers include detailed solutions, answer keys, and exam pattern analysis.
We provide Google placement papers from recent years including 2024 and 2025. Our collection is regularly updated with the latest questions and exam patterns. We also provide expected patterns for 2026 to help with preparation.
Google placement papers include: Online assessment questions (coding problems and MCQs), detailed solutions with code explanations, answer keys for quick reference, exam pattern analysis, year-wise pattern changes and trends, topic-wise questions organized by data structures, algorithms, and system design.
Practice at least 10-15 Google placement papers from previous years (2020-2025). Additionally, solve 300+ LeetCode problems focusing on Google-tagged questions. Practice system design problems and mock interviews for comprehensive preparation. Focus on quality over quantity - understand each solution thoroughly.
Google online assessment (OA) exam pattern 2025: Total duration 90 minutes. Format includes 2 coding problems (medium to hard difficulty) taking 60 minutes, and 15-20 multiple choice questions on CS fundamentals (data structures, algorithms, time complexity, system design basics) taking 30 minutes. Topics covered: Arrays, strings, trees, graphs, dynamic programming, system design basics. Both coding problems must be solved with optimal time complexity (O(n) or O(n log n)) to advance. Success rate: Approximately 15-20% of candidates advance to interview rounds.
Google online assessment covers: Coding problems on arrays, strings, trees, graphs, dynamic programming (medium to hard difficulty), CS fundamentals MCQs on data structures, algorithms, time complexity analysis, system design basics, AI/ML basics (new in 2025). Focus areas: Two pointers, sliding window, BFS/DFS, graph algorithms, dynamic programming optimization.
Google online assessment passing criteria: Both coding problems must be solved with optimal time complexity (O(n) or O(n log n)). Partial solutions may not be sufficient. MCQs should be answered correctly (typically 70%+ required). Overall performance is evaluated holistically. Approximately 15-20% of candidates advance to interview rounds.
Google placement process includes: 1. Resume Screening (1-2 weeks) - evaluation based on academics, projects, competitive programming, open source contributions, 2. Online Assessment (90 minutes) - 2 coding problems + 15-20 MCQs on CS fundamentals, 3. Technical Interview Round 1 (45-60 minutes) - algorithmic problems on Google Docs, 4. Technical Interview Round 2 (45-60 minutes) - advanced coding, system design basics, project discussion, 5. Behavioral Interview (30-45 minutes) - Googleyness assessment focusing on leadership, problem-solving, cultural fit, 6. Final Committee Review (1 week) - hiring committee decision, background verification, offer letter. Total timeline: 6-8 weeks.
Google interview process typically consists of 5-6 rounds: 1. Resume Screening (1-2 weeks), 2. Online Assessment (90 minutes) - 2 coding problems + 15-20 MCQs, 3. Technical Interview Round 1 (45-60 minutes) - algorithmic problems, 4. Technical Interview Round 2 (45-60 minutes) - advanced coding and system design basics, 5. Behavioral Interview (30-45 minutes) - Googleyness assessment, 6. Final Committee Review (1 week). Total duration: 6-8 weeks from application to offer.
Google interview questions include: Algorithmic problems on arrays, strings, trees, graphs, dynamic programming (medium to hard difficulty), System design basics (for L3+ roles) - scalability, distributed systems, database design, Project discussion - deep dive into candidate’s best technical project, Code optimization and edge case handling, Time and space complexity analysis, Behavioral questions (Googleyness) - leadership examples, problem-solving approach, cultural fit. All questions focus on technical depth, problem-solving ability, and alignment with Google’s values. Interviewers evaluate problem-solving approach, coding style, and communication skills.
Google behavioral interview (Googleyness) assesses: Leadership examples - times you led technical projects or teams, Problem-solving approach - how you handle ambiguous or challenging situations, Cultural fit - alignment with Google’s values and work culture, Learning agility - examples of quickly learning new technologies or domains. Use STAR method (Situation, Task, Action, Result) to structure your answers. Duration: 30-45 minutes.
Google eligibility criteria for freshers 2026 include: Minimum 60% or 6.0+ CGPA in 10th, 12th, and graduation (70%+ preferred for better chances). Degree required: B.Tech/B.E./M.Tech/MCA in any engineering discipline. Final year students and recent graduates (within 2 years) are eligible. No active backlogs. Strong programming skills in Python, Java, or C++ are essential. Competitive programming participation (ACM ICPC, CodeChef, Codeforces) and open source contributions are highly valued.
Google doesn’t have a strict minimum CGPA cutoff, but candidates with 60% or 6.0+ CGPA are eligible. However, the average selected candidate has 7.5-8.5 CGPA (75-85%). Candidates with 7.0+ CGPA have better chances. Google places more emphasis on technical skills, problem-solving ability, and coding performance than academic marks alone. Strong coding skills can compensate for lower CGPA.
Yes, 7.0 CGPA (70%) is good for Google. While there’s no strict cutoff, candidates with 7.0+ CGPA have better chances. However, Google places more emphasis on technical skills, problem-solving ability, and coding performance than academic marks alone. Strong coding skills, competitive programming achievements, and open source contributions can compensate for lower CGPA.
No, Google accepts candidates from all engineering branches with strong programming skills. However, CS/IT students have an advantage due to better alignment with technical requirements. Non-CS students should focus on building strong coding skills, technical projects, competitive programming participation, and open source contributions to strengthen their profile.
Google salary for freshers in India (2025-2026): Software Engineer L3 (entry-level): ₹30-45 LPA total compensation (including base salary ₹18-25 LPA, stock grants, and performance bonus). This is one of the highest packages for freshers in India. Senior roles: L4 (0-2 years): ₹45-70 LPA, L5 (3-5 years): ₹70-120 LPA, L6 (6+ years): ₹1 Cr+. All figures include base salary + annual stock grants + performance bonus.
Google offers various roles for freshers: Software Engineer L3 (primary role) - ₹30-45 LPA, Product Manager (APM/PM) - ₹35-60 LPA (MBA preferred), Data Scientist (L4) - ₹40-80 LPA (ML/AI expertise), Site Reliability Engineer (L4) - ₹45-85 LPA (DevOps, distributed systems), UX Designer (UX3) - ₹30-55 LPA (design portfolio). Most freshers join as Software Engineer L3.
Google benefits and perks include: Stock options with 4-year vesting schedule and annual refreshers, Comprehensive health insurance for employee and family, Free meals and shuttle services in major cities, Learning budget of ₹1.5 LPA for courses, conferences, certifications, Flexible work with hybrid options and flexible hours, Up to 6 months paid parental leave, Relocation support for internal transfers and new hires.
To prepare for Google placement: 1. Understand eligibility criteria and ensure you meet requirements, 2. Study Google online assessment exam pattern and section-wise breakdown, 3. Practice previous year Google placement papers (10-15 papers from 2020-2025), 4. Master data structures and algorithms (60% time allocation) - practice 300+ LeetCode problems focusing on Google-tagged questions, 5. Learn system design basics (20% time), 6. Prepare for behavioral interviews with STAR method (15% time), 7. Review CS fundamentals (5% time), 8. Take mock tests and practice coding on Google Docs.
Focus on data structures and algorithms (60% time allocation) - arrays, trees, graphs, dynamic programming, practice 300+ LeetCode problems, system design basics (20% time) - scalability, distributed systems, database design, behavioral interview preparation (15% time) - STAR method, Google culture research, CS fundamentals (5% time) - operating systems, networks, database concepts. See the preparation strategy section for detailed topic breakdown.
Google allows Python, Java, C++, and JavaScript for coding sections in online assessment and technical interviews. Python is most commonly used due to its simplicity and readability. Choose the language you’re most comfortable with. Google doesn’t restrict programming languages, but you should be proficient in at least one language. For system design discussions, knowledge of multiple languages is beneficial.
Google placement is highly competitive and considered difficult. The process tests deep technical knowledge, problem-solving skills, and system design understanding. Only 15-20% of candidates clear the online assessment. However, with proper preparation focusing on DSA (300+ LeetCode problems), system design basics, and behavioral interviews, success is achievable. Consistency in practice is more important than intensive cramming.
Google offers exceptional opportunities including: competitive compensation (₹30-45 LPA for freshers), cutting-edge technology work, excellent work-life balance, comprehensive benefits (health, food, learning budget), global exposure, and strong career growth. Google’s culture emphasizes innovation, learning, and impact. You’ll work on products used by billions of people worldwide.
Google has offices in Hyderabad, Bengaluru, and Mumbai. Relocation depends on the role and team. Many roles now offer hybrid/remote options, especially for experienced candidates. Freshers typically work from office locations. Google provides relocation support for internal transfers and new hires.
Google’s work culture emphasizes: Innovation and experimentation, Learning and growth opportunities, Work-life balance with flexible hours, Collaborative environment, Impact through technology, Open communication and transparency. Google values “Googleyness” - alignment with company values, curiosity, and ability to work in ambiguity.
Google: Best for innovation, work-life balance, and cutting-edge tech. Salary: ₹30-45 LPA for freshers. Amazon: Best for scale, leadership principles, and fast growth. Salary: ₹28-42 LPA. Microsoft: Best for stability, work-life balance, and enterprise tech. Salary: ₹25-40 LPA. All three are excellent choices; choose based on your career goals and interests. Google offers the highest compensation and best work-life balance, Amazon offers fastest growth and scale experience, Microsoft offers most stability and enterprise exposure.
Yes, Google offers significantly better compensation (₹30-45 LPA vs ₹4-7 LPA), cutting-edge technology work, better work-life balance, global exposure, and faster career growth. However, Google’s selection process is much more competitive (15-20% success rate vs 60-70% for service companies). Service companies offer easier selection but lower compensation and less challenging work.
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Amazon Placement Papers
FAANG company, similar DSA focus, leadership principles
Microsoft Placement Papers
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Meta Placement Papers
FAANG company, social media tech, competitive process
Ready to start your Google preparation? Focus on data structures and algorithms first, then gradually build system design and behavioral interview skills. Remember, consistency in practice is more important than intensive cramming.
Pro Tip: Join Google developer communities, attend tech talks, and contribute to open source projects to build your profile beyond academics.
Last updated: November 2025
