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Ola Placement Papers 2025

Overview

This page is a working set of Ola placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what Ola actually asked in the latest cycle, how hard the rounds were, and which themes (DSA, system design, aptitude, or role-specific topics) mattered most. Practice the problems below under timed conditions, then cross-check with the interview and preparation guides if you are targeting an upcoming Ola drive.

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.

Ola Placement Papers 2025 - actual questions & solutions

This section contains practice questions styled on Ola placement papers 2025 (recent-cycle pattern), with worked solutions. Use them as timed sectional drills - from student reports drives vary by college and role, so treat this as a high-signal practice bank, not an official paper dump.

Question 1: rotate array right by k

Show solution

Problem Statement: Rotate the array to the right by k steps.

Example:

Input: [1,2,3,4,5,6,7], k = 3
Output: [5,6,7,1,2,3,4]

Solution (Java):

public void rotate(int[] nums, int k) {
k %= nums.length;
reverse(nums, 0, nums.length - 1);
reverse(nums, 0, k - 1);
reverse(nums, k, nums.length - 1);
}
void reverse(int[] a, int l, int r) {
while (l < r) { int t = a[l]; a[l++] = a[r]; a[r--] = t; }
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 2: first non-repeating character

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Problem Statement: Return the first non-repeating character in a string, or ‘_’ if none.

Example:

Input: "swiss"
Output: 'w'

Solution (Java):

public char firstUnique(String s) {
int[] freq = new int[256];
for (char c : s.toCharArray()) freq[c]++;
for (char c : s.toCharArray()) if (freq[c] == 1) return c;
return '_';
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 3: longest common prefix

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Problem Statement: Find the longest common prefix string amongst an array of strings.

Example:

Input: ["flower","flow","flight"]
Output: "fl"

Solution (Java):

public String longestCommonPrefix(String[] strs) {
if (strs.length == 0) return "";
String pref = strs[0];
for (int i = 1; i < strs.length; i++) {
while (!strs[i].startsWith(pref)) {
pref = pref.substring(0, pref.length() - 1);
if (pref.isEmpty()) return "";
}
}
return pref;
}

Time Complexity: O(S)
Space Complexity: O(1)

Question 4: binary tree level order

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Problem Statement: Return the level-order traversal of a binary tree.

Example:

Input: [3,9,20,null,null,15,7]
Output: [[3],[9,20],[15,7]]

Solution (Java):

public List<List<Integer>> levelOrder(TreeNode root) {
List<List<Integer>> res = new ArrayList<>();
if (root == null) return res;
Queue<TreeNode> q = new ArrayDeque<>();
q.add(root);
while (!q.isEmpty()) {
int sz = q.size();
List<Integer> level = new ArrayList<>();
for (int i = 0; i < sz; i++) {
TreeNode n = q.poll();
level.add(n.val);
if (n.left != null) q.add(n.left);
if (n.right != null) q.add(n.right);
}
res.add(level);
}
return res;
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 5: detect cycle in linked list

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Problem Statement: Return true if the linked list has a cycle.

Example:

Input: 3→2→0→-4→(back to 2)
Output: true

Solution (Java):

public boolean hasCycle(ListNode head) {
ListNode slow = head, fast = head;
while (fast != null && fast.next != null) {
slow = slow.next;
fast = fast.next.next;
if (slow == fast) return true;
}
return false;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 6: merge two sorted lists

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Problem Statement: Merge two sorted linked lists and return a new sorted list.

Example:

Input: 1→2→4 , 1→3→4
Output: 1→1→2→3→4→4

Solution (Java):

public ListNode mergeTwoLists(ListNode a, ListNode b) {
ListNode dummy = new ListNode(0), cur = dummy;
while (a != null && b != null) {
if (a.val <= b.val) { cur.next = a; a = a.next; }
else { cur.next = b; b = b.next; }
cur = cur.next;
}
cur.next = (a != null) ? a : b;
return dummy.next;
}

Time Complexity: O(n + m)
Space Complexity: O(1)

Question 7: maximum subarray sum

Show solution

Problem Statement: Find the contiguous subarray with the largest sum.

Example:

Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]
Output: 6 // [4, -1, 2, 1]

Solution (Java):

public int maxSubArray(int[] nums) {
int best = nums[0], cur = nums[0];
for (int i = 1; i < nums.length; i++) {
cur = Math.max(nums[i], cur + nums[i]);
best = Math.max(best, cur);
}
return best;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 8

Q8: Virtual memory is typically implemented using?

Solution:

OS uses demand paging (and sometimes segmentation) to implement virtual memory.

Answer: Demand paging

Question 9

Q9: Which normal form removes transitive dependency?

Solution:

1NF: atomic values. 2NF: no partial dependency. 3NF: no transitive dependency.

Answer: 3NF

Question 10

Q10: Time complexity of binary search on a sorted array of n elements is?

Solution:

Each step halves the search space → O(log n).

Answer: O(log n)

Question 11

Q11: Which data structure uses FIFO order?

Solution:

FIFO = First In First Out → Queue. Stack is LIFO.

Answer: Queue

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)

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

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