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Ola Placement Papers 2026 - Expected Questions, OA Pattern & Preparation Guide

Prepare for Ola placement 2026 with expected OA pattern, question types, and comprehensive preparation strategy. Get ready for upcoming Ola recruitment drives with our guide.

This page provides preparation guidance for Ola placement 2026 based on current trends and expected patterns. Start preparing early to maximize your chances of success.

Based on recent trends, the 2026 OA is expected to follow a similar pattern with potential additions:

SectionExpected QuestionsTimeDifficultyFocus Areas
Coding Problems2-360-90 minMedium-HardDSA, Algorithms
Debugging1-215-30 minMediumCode Analysis
AI/ML Concepts (New)0-110-15 minMediumBasic ML concepts

Total: 2-3 coding problems, 90-120 minutes (expected)

Expected Changes for 2026:

  • More focus on AI/ML concepts (given Ola’s investment in Kruti and agentic systems)
  • Increased emphasis on system design and scalability
  • Potential addition of take-home assignments for some roles
  • Enhanced evaluation of problem-solving approach
  • More scenario-based questions related to mobility tech

Expected Topics:

  • Arrays and String manipulation
  • Trees and Binary Search Trees
  • Graphs (BFS, DFS, shortest path algorithms)
  • Dynamic Programming
  • Hashing and Hash Tables
  • Heap and Priority Queue

Difficulty Level:

  • Medium problems: 60-70%
  • Hard problems: 30-40%

Expected Topics:

  • Ride matching system design
  • Payment gateway architecture
  • Real-time location tracking
  • Scalability and load balancing
  • Database design (SQL vs NoSQL)
  • Caching strategies
  • API design

Expected Topics:

  • Basic machine learning concepts
  • AI agent systems (relevant to Ola’s Kruti)
  • Natural language processing basics
  • Recommendation systems

Hiring Volume

  • Total Hires: 700+ freshers expected
  • SDE-1 Selections: 400+ selections expected
  • SDE-2 Selections: 200+ selections expected
  • AI/ML Roles: 50+ new positions expected
  • Growth: 15-20% increase from 2025

Salary Packages

  • SDE-1: ₹19-23 LPA (expected increase)
  • SDE-2: ₹25-32 LPA
  • Senior SDE: ₹42-58 LPA
  • AI/ML Engineer: ₹20-28 LPA (new role)
  • Competitive packages with ESOPs

New Initiatives

  • More roles in AI/ML and data science
  • Electric mobility engineering roles
  • Enhanced focus on agentic systems
  • Global mobility opportunities

DSA Focus (Expected):

  • Arrays: 30% of problems
  • Trees: 25% of problems
  • Graphs: 25% of problems
  • Dynamic Programming: 15% of problems
  • Strings: 5% of problems

New Additions:

  • AI/ML basic concepts: 5-10% (new)
  • System design: Increased weightage
  • Real-world scenarios: More emphasis

Difficulty:

  • Expected to maintain Medium-Hard difficulty
  • Focus on optimal solutions and edge cases
  1. DSA fundamentals remain critical - Solve 100+ problems on LeetCode/HackerRank
  2. System design knowledge essential - Practice designing scalable systems
  3. AI agent concepts important - Understand Ola’s investment in Kruti and agentic systems
  4. Behavioral preparation crucial - Ola values (customer focus, innovation, ownership)
  5. Stay updated with Ola’s technology - Research recent developments and business model

Months 1-2: Foundation

  • Master DSA fundamentals (arrays, trees, graphs, DP)
  • Solve 50+ problems on LeetCode/HackerRank
  • Learn system design basics
  • Study Ola’s business model and technology

Months 3-4: Advanced Topics

  • Solve 50+ more problems (medium to hard)
  • Practice system design problems
  • Learn AI/ML basics (relevant to Ola’s Kruti)
  • Prepare behavioral stories (STAR format)

Months 5-6: Interview Preparation

  • Mock interviews and OA practice
  • Review previous year Ola papers
  • System design mock sessions
  • Final revision and confidence building

Month 1:

  • DSA fundamentals crash course
  • Solve 30+ problems weekly
  • System design basics

Month 2:

  • Advanced DSA topics
  • Solve 40+ problems weekly
  • System design practice
  • Behavioral preparation

Month 3:

  • Mock tests and interviews
  • Final revision
  • Confidence building
  1. Focus on DSA fundamentals - Solve 100+ problems covering all topics
  2. Learn system design basics - Practice designing scalable systems (ride matching, payments)
  3. Understand AI agent concepts - Ola’s investment in Kruti and agentic systems
  4. Practice behavioral questions - Ola values are crucial (customer focus, innovation, ownership)
  5. Stay updated with Ola’s technology - Research recent developments, business model, and growth
  6. Practice online coding - Get comfortable with virtual interview platforms
  7. Time management - Practice solving problems within time limits
  8. Communication skills - Practice explaining your approach clearly
  1. Online Assessment (OA) - 90-120 minutes with 2-3 DSA problems
  2. Technical Interviews (2-3 rounds) - DSA, coding, system design
  3. Managerial/Team Fit Interview - Ola values and cultural fit
  4. HR/Offer Discussion - Final negotiation

Expected Duration: 2-4 weeks from application to offer

Ola 2026 Preparation Guide

Complete preparation guide for Ola placement 2026 with expected pattern and tips.

View Guide →

Previous Year Papers

Practice with Ola 2024 and 2025 papers to understand patterns.

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System Design Resources

Learn system design fundamentals for Ola interviews.

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Start preparing for 2026 early! Focus on DSA, system design, and understanding Ola’s technology to maximize your chances of success.