Ola Placement Papers 2025 - Latest Questions, OA Pattern & Solutions

Company Overview

This page contains Ola placement papers from 2025 with the latest questions, solutions, and exam patterns. Use these current year papers to prepare effectively for Ola OA and interviews.

2025 OA Updates

The 2025 Ola Online Assessment maintains the 90-120 minute format with 2-3 DSA problems. New additions include more debugging questions and scenario-based coding problems.

Ola Online Assessment 2025 Pattern

The 2025 exam pattern remains similar to 2024. For detailed exam pattern, see 2024 Papers.

Note: The pattern may have minor variations. Check the latest updates from the company.

2025 OA Questions & Solutions

Data Structures & Algorithms (2025)

Q1: Design Data Structure with O(1) Operations (2025)

Problem: Design a data structure that supports insert, delete, and getRandom in O(1) time.

Solution:

import random
class RandomizedSet:
    def __init__(self):
        self.map = {}
        self.list = []

    def insert(self, val):
        if val in self.map:
            return False
        self.map[val] = len(self.list)
        self.list.append(val)
        return True

    def remove(self, val):
        if val not in self.map:
            return False
        idx = self.map[val]
        last = self.list[-1]
        self.list[idx] = last
        self.map[last] = idx
        self.list.pop()
        del self.map[val]
        return True

    def getRandom(self):
        return random.choice(self.list)

Time Complexity: O(1) for all operations
Space Complexity: O(n)
Answer: Returns true/false for insert/remove, random element for getRandom

Q2: LRU Cache Implementation (2025)

Problem: Design and implement a data structure for Least Recently Used (LRU) cache with O(1) operations.

Solution:

class Node:
    def __init__(self, key, val):
        self.key = key
        self.val = val
        self.prev = None
        self.next = None

class LRUCache:
    def __init__(self, capacity):
        self.capacity = capacity
        self.cache = {}
        self.head = Node(0, 0)
        self.tail = Node(0, 0)
        self.head.next = self.tail
        self.tail.prev = self.head

    def get(self, key):
        if key in self.cache:
            node = self.cache[key]
            self._remove(node)
            self._add(node)
            return node.val
        return -1

    def put(self, key, value):
        if key in self.cache:
            self._remove(self.cache[key])
        node = Node(key, value)
        self._add(node)
        self.cache[key] = node
        if len(self.cache) > self.capacity:
            lru = self.head.next
            self._remove(lru)
            del self.cache[lru.key]

    def _add(self, node):
        p = self.tail.prev
        p.next = node
        self.tail.prev = node
        node.prev = p
        node.next = self.tail

    def _remove(self, node):
        p = node.prev
        n = node.next
        p.next = n
        n.prev = p

Time Complexity: O(1) for get and put
Space Complexity: O(capacity)
Answer: Returns value for get, updates cache for put

Q3: Rate Limiter (2025)

Problem: Implement a rate limiter using sliding window algorithm.

Solution:

from collections import deque
import time

class RateLimiter:
    def __init__(self, max_requests, window_seconds):
        self.max_requests = max_requests
        self.window_seconds = window_seconds
        self.requests = deque()

    def is_allowed(self):
        current_time = time.time()
        # Remove requests outside the window
        while self.requests and self.requests[0] < current_time - self.window_seconds:
            self.requests.popleft()

        if len(self.requests) < self.max_requests:
            self.requests.append(current_time)
            return True
        return False

Time Complexity: O(1) amortized
Space Complexity: O(max_requests)
Answer: Returns True if request allowed, False otherwise

2025 Hiring Trends

Hiring Volume

• Total Hires: 600+ freshers expected
• SDE-1 Selections: 350+ selections expected
• SDE-2 Selections: 180+ selections expected
• Growth: 20% increase from 2024

Salary Packages

• SDE-1: ₹18-22 LPA (slight increase from 2024)
• SDE-2: ₹24-30 LPA
• Senior SDE: ₹40-55 LPA
• Competitive packages with ESOPs

Process Changes

• Virtual interviews standard
• System design rounds mandatory for all SDE roles
• Emphasis on real-world problem-solving
• Faster offer processing (2-4 weeks)

2025 Question Trends

DSA Focus:

• Similar distribution to 2024, with increased graph problems
• Arrays: 30% of problems
• Trees: 25% of problems
• Graphs: 25% of problems (increased)
• Dynamic Programming: 15% of problems
• Strings: 5% of problems

New Topics:

• More questions on system design basics
• API design discussions
• Database design concepts
• Scalability patterns

Difficulty:

• Maintained Medium-Hard difficulty
• Focus on optimal solutions

Key Insights from 2025 Ola Online Assessment

1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
2. Virtual Interviews: Became standard - candidates should be comfortable with online coding platforms
3. System Design Rounds: Now mandatory - all SDE roles require system design knowledge
4. Real-World Problem-Solving: Emphasis on ride matching, payment systems, scalability
5. Time Management: 2-3 problems in 90-120 minutes requires excellent speed
6. Ride-Hailing Focus: Problems often relate to ride matching, routing, logistics
7. Success Rate: Only 10-15% cleared OA and advanced to interviews
8. Interview Rating: 4.1/5 based on candidate experiences
9. Difficulty: 66% moderate, 29% easy, 4% hard
10. Process Duration: 74% completed in less than 2 weeks

Ola 2025 Interview Experiences

Based on recent candidate experiences from 2025 Ola interviews:

2025 Interview Process:

1. Online Assessment (90-120 minutes): 2-3 coding problems
2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions
3. Onsite/Virtual Interviews (3-4 rounds, 45-60 minutes each):
   • Round 1: Problem-solving (DSA-based) - 1 hour
   • Round 2: High-Level Design (HLD) and Low-Level Design (LLD) - 1 hour
   • Round 3: Managerial Round - 45 minutes (behavioral questions)

2025 Interview Trends:

• Increased emphasis on system design for all SDE roles (not just SDE-2+)
• More focus on ride-hailing specific problems (matching, routing, logistics)
• Enhanced behavioral questions about Ola values and innovation
• Questions about AI agents and Kruti (Ola’s AI assistant)
• Virtual interviews became standard - comfort with online platforms essential

Common 2025 Interview Topics:

• Coding: Arrays, trees, graphs, dynamic programming, string manipulation
• System Design: Ride matching systems, payment gateways, notification systems, scalability
• Low-Level Design: SOLID principles, design patterns, class design, logging libraries
• High-Level Design: System architecture, microservices, database design, API design
• Behavioral: Ola values (customer focus, innovation, ownership), strengths/weaknesses, learning agility

2025 Interview Questions Examples:

• “Design and implement a logging library with multiple appenders” (LLD)
• “Design Ola’s internal notification system” (HLD)
• “Determine if a user is within a specific area to show available cabs” (Coding)
• “Sort an array containing 0s, 1s, and 2s while maintaining original order” (Coding)
• “Design Ola’s ride matching system” (System Design)
• “How would you approach learning about a task you’re completely unfamiliar with?” (Behavioral)

Success Tips:

• Strong coding performance is essential - solve problems optimally
• Practice system design for ride-hailing systems - matching, routing, payments
• Learn SOLID principles and design patterns for LLD rounds
• Prepare examples demonstrating Ola values - customer focus, innovation, ownership
• Practice explaining your thought process clearly
• Focus on time management - 2-3 problems in 90-120 minutes
• Be ready for both HLD and LLD discussions
• Get comfortable with virtual interview platforms

Interview Experience Rating: 4.1/5 (based on 321+ experiences) Process Duration: 74% completed in less than 2 weeks

For detailed interview experiences from 2025, visit Ola Interview Experience page.

Preparation Tips for Ola 2025 Pattern

1. Master DSA Fundamentals: Focus on arrays, trees, graphs, and dynamic programming
2. Practice Optimal Solutions: Time and space complexity matter - optimize your solutions
3. Learn System Design Basics: Ride matching, payment systems, scalability, notification systems
4. Prepare Behavioral Stories: Align with Ola values using STAR format - customer focus, innovation, ownership
5. Practice Previous Year Papers: Solve Ola OA papers from 2020-2025 to understand evolving patterns
6. Time Management: Practice completing 2-3 coding problems in 90-120 minutes
7. SOLID Principles: Master SOLID principles and design patterns for LLD rounds
8. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
9. Virtual Interview Practice: Get comfortable with online coding platforms
10. Ride-Hailing Knowledge: Understand ride matching algorithms and logistics optimization
11. Mock Tests: Take timed practice tests to improve speed and accuracy
12. Understand Ola’s Business: Ride matching, payments, AI agents (Kruti), electric mobility

Download 2025 Placement Papers

Ola 2025 Paper 1

Latest Ola OA 2025 paper with 3 coding problems and solutions.

Download PDF →

Ola 2025 Paper 2

Ola OA 2025 paper with DSA problems and system design questions.

Download PDF →

2025 System Design Examples

System design problems from 2025 Ola interviews.

View Examples →

Related Resources

Ola 2024 Papers

Previous year Ola placement papers with questions and solutions

View 2024 Papers →

Ola Coding Questions

Complete collection of Ola coding problems with solutions

View Coding Questions →

Ola Interview Experience

Real interview experiences from successful candidates

Read Experiences →

Ola Preparation Guide

Comprehensive preparation strategy for Ola placement

View Preparation Guide →

Ola Main Page

Complete Ola placement guide with eligibility, process, and salary

View Main Page →

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Practice 2025 papers to prepare effectively! Focus on DSA, system design, and real-world problem-solving.