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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

Show solution

Problem Statement: Given a string of brackets, determine if it is valid.

Example:

Input: "()[]{}"
Output: true

Solution (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

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 6: two sum

Show solution

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 = 9
Output: [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: true

Solution (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

  1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
  2. DSA Focus: Strong emphasis on arrays, strings, trees, graphs, and dynamic programming
  3. Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
  4. Payment System Focus: Problems often relate to payment systems, UPI, transactions, security, AI-powered features
  5. System Design: Asked for SDE-1/2 roles, payment system design for fintech roles
  6. Success Rate: Only 15-20% cleared OA and advanced to interviews
  7. Platform: HackerRank or PhonePe’s internal platform
  8. Focus Areas: Arrays, trees, graphs, dynamic programming, payment systems, UPI, AI/ML
  9. 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:

  1. Online Assessment (90 minutes): 2-3 coding problems
  2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, UPI/payment concepts, AI/ML
  3. 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

  1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
  2. UPI/Payment Expertise: Strong understanding of UPI, AI-powered payment processing, cloud-native payment systems
  3. Practice Previous Year Papers: Solve PhonePe OA papers from 2020-2025 to understand evolving patterns
  4. Time Management: Practice completing 2-3 coding problems in 90 minutes
  5. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
  6. Fintech Focus: Practice problems related to payment systems, UPI, transactions, AI/ML in fintech
  7. System Design Mastery: Learn AI-powered UPI system design, payment processing, transaction systems, security, cloud-native architecture
  8. Security Knowledge: Understand security best practices for payment systems, UPI, and AI-powered fraud detection
  9. Behavioral Preparation: Prepare examples using STAR format - problem-solving, security mindset, AI/ML passion
  10. Mock Tests: Take timed practice tests to improve speed and accuracy
  11. AI/ML in Fintech: Understand AI/ML applications in UPI and payment processing

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