Flipkart Placement Papers 2025 - Latest Questions & Solutions

Company Overview

This page contains Flipkart placement papers from 2025 with current year questions, solutions, and exam patterns.

2025 Updates

The 2025 Flipkart placement process maintains focus on DSA and system design with enhanced emphasis on company values.

Flipkart Online Assessment 2025 Pattern

Section	Questions	Time	Difficulty
Coding Problems	2-3	60 min	Medium-Hard
Debugging	1	30 min	Medium

Actual 2025 Flipkart Coding Questions & Solutions

This section contains real coding questions from Flipkart placement papers 2025 based on candidate experiences from GeeksforGeeks, LeetCode, and interview forums.

DSA Coding Problems (2025)

Q1: Product of Array Except Self - 2025 Real Question

Problem: Given an integer array nums, return an array answer such that answer[i] is equal to the product of all the elements of nums except nums[i]. You must write an algorithm that runs in O(n) time and without using the division operator.

Example:

Input: nums = [1,2,3,4]
Output: [24,12,8,6]

Solution (Java):

public int[] productExceptSelf(int[] nums) {
    int n = nums.length;
    int[] result = new int[n];

    // Left pass
    result[0] = 1;
    for (int i = 1; i < n; i++) {
        result[i] = result[i - 1] * nums[i - 1];
    }

    // Right pass
    int right = 1;
    for (int i = n - 1; i >= 0; i--) {
        result[i] *= right;
        right *= nums[i];
    }

    return result;
}

Time Complexity: O(n), Space Complexity: O(1) excluding output array

Q2: LRU Cache Implementation - 2025 Real Question

Problem: Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. Implement the LRUCache class.

Solution (Java):

class LRUCache {
    class Node {
        int key, value;
        Node prev, next;
        Node(int k, int v) {
            key = k;
            value = v;
        }
    }

    private Map<Integer, Node> cache;
    private int capacity;
    private Node head, tail;

    public LRUCache(int capacity) {
        this.capacity = capacity;
        cache = new HashMap<>();
        head = new Node(0, 0);
        tail = new Node(0, 0);
        head.next = tail;
        tail.prev = head;
    }

    public int get(int key) {
        Node node = cache.get(key);
        if (node == null) return -1;
        moveToHead(node);
        return node.value;
    }

    public void put(int key, int value) {
        Node node = cache.get(key);
        if (node == null) {
            Node newNode = new Node(key, value);
            cache.put(key, newNode);
            addToHead(newNode);
            if (cache.size() > capacity) {
                Node tail = removeTail();
                cache.remove(tail.key);
            }
        } else {
            node.value = value;
            moveToHead(node);
        }
    }

    private void addToHead(Node node) {
        node.prev = head;
        node.next = head.next;
        head.next.prev = node;
        head.next = node;
    }

    private void removeNode(Node node) {
        node.prev.next = node.next;
        node.next.prev = node.prev;
    }

    private void moveToHead(Node node) {
        removeNode(node);
        addToHead(node);
    }

    private Node removeTail() {
        Node lastNode = tail.prev;
        removeNode(lastNode);
        return lastNode;
    }
}

Time Complexity: O(1) for both operations, Space Complexity: O(capacity)

Q3: Word Break Problem - 2025 Real Question

Problem: Given a string s and a dictionary of strings wordDict, return true if s can be segmented into a space-separated sequence of one or more dictionary words.

Example:

Input: s = "leetcode", wordDict = ["leet","code"]
Output: true

Solution (Java):

public boolean wordBreak(String s, List<String> wordDict) {
    Set<String> wordSet = new HashSet<>(wordDict);
    boolean[] dp = new boolean[s.length() + 1];
    dp[0] = true;

    for (int i = 1; i <= s.length(); i++) {
        for (int j = 0; j < i; j++) {
            if (dp[j] && wordSet.contains(s.substring(j, i))) {
                dp[i] = true;
                break;
            }
        }
    }

    return dp[s.length()];
}

Time Complexity: O(n²), Space Complexity: O(n)

Q4: Clone Graph - 2025 Real Question

Problem: Given a reference of a node in a connected undirected graph, return a deep copy (clone) of the graph.

Solution (Java):

public Node cloneGraph(Node node) {
    if (node == null) return null;

    Map<Node, Node> map = new HashMap<>();
    Queue<Node> queue = new LinkedList<>();
    queue.offer(node);
    map.put(node, new Node(node.val));

    while (!queue.isEmpty()) {
        Node current = queue.poll();
        for (Node neighbor : current.neighbors) {
            if (!map.containsKey(neighbor)) {
                map.put(neighbor, new Node(neighbor.val));
                queue.offer(neighbor);
            }
            map.get(current).neighbors.add(map.get(neighbor));
        }
    }

    return map.get(node);
}

Time Complexity: O(V + E), Space Complexity: O(V)

Q5: Container With Most Water - 2025 Real Question

Problem: You are given an integer array height of length n. Find two lines that together with the x-axis form a container, such that the container contains the most water.

Example:

Input: height = [1,8,6,2,5,4,8,3,7]
Output: 49

Solution (Java):

public int maxArea(int[] height) {
    int left = 0, right = height.length - 1;
    int maxArea = 0;

    while (left < right) {
        int width = right - left;
        int area = Math.min(height[left], height[right]) * width;
        maxArea = Math.max(maxArea, area);

        if (height[left] < height[right]) {
            left++;
        } else {
            right--;
        }
    }

    return maxArea;
}

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

Q6: Find Peak Element - 2025 Real Question

Problem: A peak element is an element that is strictly greater than its neighbors. Given a 0-indexed integer array nums, find a peak element, and return its index.

Example:

Input: nums = [1,2,3,1]
Output: 2

Solution (Java):

public int findPeakElement(int[] nums) {
    int left = 0, right = nums.length - 1;

    while (left < right) {
        int mid = left + (right - left) / 2;
        if (nums[mid] > nums[mid + 1]) {
            right = mid;
        } else {
            left = mid + 1;
        }
    }

    return left;
}

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

2025 Hiring Trends

Expected Hiring

• Total Hires: 350+ freshers
• SDE-1: 315+ selections
• Focus: Advanced DSA, System Design, E-commerce domain

Salary Packages

• SDE-1: ₹22-28 LPA
• Base Salary: ₹18-22 LPA
• Stock Options: Included

Question Trends

• Most Common: Dynamic Programming, Graph problems
• Medium-Hard: Design problems (LRU Cache, etc.)
• System Design: Scalability, E-commerce features

Key Insights from 2025 Flipkart Online Assessment

1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
2. Advanced Topics: More focus on DP, Graphs, and Design problems
3. Optimization: Emphasis on optimal solutions (time/space complexity)
4. System Design: More detailed for SDE-1 roles - e-commerce systems
5. E-commerce Context: Questions often relate to Flipkart’s domain (cart, checkout, inventory)
6. Time Management: 2-3 problems in 90 minutes requires excellent speed
7. Debugging: Always included - practice debugging skills thoroughly
8. Success Rate: Only 10-15% cleared OA and advanced to interviews

Flipkart 2025 Interview Experiences

Based on recent candidate experiences from 2025 Flipkart interviews:

2025 Interview Process:

1. Online Assessment (90 minutes): 2-3 coding problems + 1 debugging question
2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions
3. Onsite Interviews (4-5 rounds, 45-60 minutes each):
   • Coding rounds (2-3): Algorithms, data structures, problem-solving
   • System Design round: E-commerce systems for SDE-1+ roles
   • Behavioral round: Problem-solving approach, teamwork, impact

2025 Interview Trends:

• Increased emphasis on e-commerce system design even for SDE-1 roles
• More focus on optimal solutions with better complexity analysis
• Enhanced behavioral questions about company values and impact
• Questions about scalability and performance optimization

Common 2025 Interview Topics:

• Coding: Arrays, strings, trees, graphs, dynamic programming, two pointers
• System Design: E-commerce systems (cart, checkout, inventory, recommendation engine, search)
• Debugging: Code fixes, logic errors, performance issues
• Behavioral: Problem-solving examples, teamwork, impact on business metrics

2025 Interview Questions Examples:

• Product of Array Except Self
• Design Flipkart’s shopping cart system (System Design)
• Design Flipkart’s recommendation engine (System Design)
• Design Flipkart’s search system (System Design)

Success Tips:

• Strong coding performance is essential - solve problems optimally
• Practice debugging skills - this section is always included
• Learn e-commerce system design - cart, checkout, inventory, recommendations
• Prepare examples demonstrating problem-solving and business impact
• Practice explaining your thought process clearly
• Focus on time management - 2-3 problems in 90 minutes

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

Preparation Tips for Flipkart 2025 Pattern

1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, strings, trees, graphs, DP
2. Practice Previous Year Papers: Solve Flipkart OA papers from 2020-2025 to understand evolving patterns
3. Time Management: Practice completing 2-3 coding problems in 60 minutes, debugging in 30 minutes
4. Debugging Practice: Practice debugging code - identify and fix logic errors, performance issues
5. System Design Mastery: Learn e-commerce system design - cart, checkout, inventory, recommendations for SDE-1+
6. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees (medium-hard difficulty)
7. E-commerce Focus: Practice problems related to e-commerce scenarios
8. Mock Tests: Take timed practice tests to improve speed and accuracy
9. Two Pointers Technique: Master two pointers - very common in Flipkart problems
10. Dynamic Programming: Practice DP problems - frequently asked
11. Optimization Focus: Emphasize optimal solutions with better time/space complexity

Related Resources

Flipkart 2024 Papers

Previous year Flipkart placement papers with questions and solutions

View 2024 Papers →

Flipkart Coding Questions

Complete collection of Flipkart coding problems with solutions

View Coding Questions →

Flipkart Interview Experience

Real interview experiences from successful candidates

Read Experiences →

Flipkart Preparation Guide

Comprehensive preparation strategy for Flipkart placement

View Preparation Guide →

Flipkart Main Page

Complete Flipkart placement guide with eligibility, process, and salary

View Main Page →

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Practice 2025 papers to stay updated with latest patterns and prepare effectively!