2024 papers
Phonepe Placement Papers 2025
Overview
This page is a working set of PhonePe placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what PhonePe 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 PhonePe drive.
Phonepe Online Assessment 2025 pattern
| Section | Questions | Time | Difficulty | Focus Areas |
|---|---|---|---|---|
| Coding Problems | 2-3 | 90 min | Medium-Hard | Arrays, trees, graphs, DP |
Total: 2-3 problems, 90 minutes
Platform: HackerRank or similar
Languages Allowed: Java, Python, C++, Go
Success Rate: ~15-20% cleared OA and advanced to interviews
Phonepe Placement Papers 2025 - actual questions & solutions
This section contains practice questions styled on PhonePe 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: first non-repeating character
Show solution
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 2: reverse a string
Show solution
Problem Statement: Given a string, return it reversed.
Example:
Input: "placement"Output: "tnemecalp"Solution (Java):
public String reverse(String s) { return new StringBuilder(s).reverse().toString();}Time Complexity: O(n)
Space Complexity: O(n)
Question 3: longest common prefix
Show solution
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: valid parentheses
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Problem Statement: Given a string of brackets, determine if it is valid.
Example:
Input: "()[]{}"Output: trueSolution (Java):
public boolean isValid(String s) { Deque<Character> st = new ArrayDeque<>(); Map<Character, Character> pair = Map.of(')', '(', ']', '[', '}', '{'); for (char c : s.toCharArray()) { if (pair.containsValue(c)) st.push(c); else if (st.isEmpty() || st.pop() != pair.get(c)) return false; } return st.isEmpty();}Time Complexity: O(n)
Space Complexity: O(n)
Question 5: maximum subarray sum
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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 6: two sum
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Problem Statement: Given an array of integers and a target, return indices of two numbers that add up to target.
Example:
Input: nums = [2, 7, 11, 15], target = 9Output: [0, 1]Solution (Java):
public int[] twoSum(int[] nums, int target) { Map<Integer, Integer> map = new HashMap<>(); for (int i = 0; i < nums.length; i++) { int need = target - nums[i]; if (map.containsKey(need)) return new int[]{map.get(need), i}; map.put(nums[i], i); } return new int[]{};}Time Complexity: O(n)
Space Complexity: O(n)
Question 7: check palindrome
Show solution
Problem Statement: Return true if the string reads the same forward and backward (ignore case).
Example:
Input: "Level"Output: trueSolution (Java):
public boolean isPalindrome(String s) { s = s.toLowerCase(); int i = 0, j = s.length() - 1; while (i < j) { if (s.charAt(i++) != s.charAt(j--)) return false; } return true;}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 SQL clause filters grouped rows after GROUP BY?
Solution:
HAVING filters aggregates; WHERE filters rows before grouping.
Answer: HAVING
Question 10
Q10: Which protocol is connection-oriented at the transport layer?
Solution:
TCP is connection-oriented; UDP is connectionless.
Answer: TCP
Question 11
Q11: Which data structure uses FIFO order?
Solution:
FIFO = First In First Out → Queue. Stack is LIFO.
Answer: Queue
Key insights from 2025 Phonepe Online Assessment
- Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
- DSA Focus: Strong emphasis on arrays, strings, trees, graphs, and dynamic programming
- Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
- Payment System Focus: Problems often relate to payment systems, UPI, transactions, security, AI-powered features
- System Design: Asked for SDE-1/2 roles, payment system design for fintech roles
- Success Rate: Only 15-20% cleared OA and advanced to interviews
- Platform: HackerRank or PhonePe’s internal platform
- Focus Areas: Arrays, trees, graphs, dynamic programming, payment systems, UPI, AI/ML
- Enhanced Emphasis: Optimal solutions, AI-powered UPI features, and cloud-native payment systems
Phonepe 2025 interview experiences
Based on recent candidate experiences from 2025 PhonePe interviews:
2025 Interview Process:
- Online Assessment (90 minutes): 2-3 coding problems
- Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, UPI/payment concepts, AI/ML
- Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each):
- Coding rounds (2-3): Algorithms, data structures, problem-solving
- System Design rounds: AI-powered UPI systems, payment processing, transaction systems, security, cloud-native architecture
- Behavioral rounds: Problem-solving approach, security mindset, impact, AI/ML passion
2025 Interview Trends:
- Increased emphasis on AI-powered UPI features and cloud-native payment systems
- More focus on optimal solutions and security best practices
- Enhanced behavioral questions about security mindset and innovation
- Questions about AI/ML applications in UPI and payment processing
Common 2025 Interview Topics:
- Coding: Arrays, strings, trees, graphs, dynamic programming, payment algorithms
- System Design: AI-powered UPI systems, payment processing, transaction systems, security, cloud-native fintech architecture
- Behavioral: Problem-solving, security mindset, teamwork, impact, AI/ML passion
- PhonePe Technologies: UPI, AI-powered features, payment systems, transaction processing, cloud-native platforms
Success Tips:
- Strong coding performance is essential - solve problems optimally
- Understand UPI, AI-powered payment features, and cloud-native payment systems
- Practice system design for AI-powered UPI systems and payment processing
- Prepare examples demonstrating problem-solving and security mindset
- Learn PhonePe’s products, AI features, and UPI technologies
- Practice explaining your thought process clearly
For detailed interview experiences from 2025, visit PhonePe Interview Experience page.
Preparation tips for Phonepe 2025 pattern
- Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
- UPI/Payment Expertise: Strong understanding of UPI, AI-powered payment processing, cloud-native payment systems
- Practice Previous Year Papers: Solve PhonePe OA papers from 2020-2025 to understand evolving patterns
- Time Management: Practice completing 2-3 coding problems in 90 minutes
- LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
- Fintech Focus: Practice problems related to payment systems, UPI, transactions, AI/ML in fintech
- System Design Mastery: Learn AI-powered UPI system design, payment processing, transaction systems, security, cloud-native architecture
- Security Knowledge: Understand security best practices for payment systems, UPI, and AI-powered fraud detection
- Behavioral Preparation: Prepare examples using STAR format - problem-solving, security mindset, AI/ML passion
- Mock Tests: Take timed practice tests to improve speed and accuracy
- AI/ML in Fintech: Understand AI/ML applications in UPI and payment processing

