Blinkit Placement Papers 2025

Overview

This page is a working set of Blinkit placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what Blinkit 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 Blinkit drive.

2025 Updates

The 2025 Blinkit placement process maintains focus on DSA and system design with enhanced emphasis on quick commerce architecture.

Blinkit Online Assessment 2025 pattern

Section	Questions	Time	Difficulty
Coding Problems	2-3	90 min	Medium-Hard

Blinkit Placement Papers 2025 - actual questions & solutions

This section contains practice questions styled on Blinkit 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: reverse a string

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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 2: 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 3: climbing stairs

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Problem Statement: You can climb 1 or 2 steps. How many distinct ways to climb n stairs?

Example:

Input: n = 4
Output: 5

Solution (Java):

public int climbStairs(int n) {
    if (n <= 2) return n;
    int a = 1, b = 2;
    for (int i = 3; i <= n; i++) {
        int c = a + b; a = b; b = c;
    }
    return b;
}

Time Complexity: O(n)
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: 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: 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 6: 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 7: 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 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: Worst-case time complexity of quicksort is?

Solution:

Unbalanced partitions (already sorted with bad pivot) → O(n²).

Answer: O(n²)

Question 11

Q11: Which SQL clause filters grouped rows after GROUP BY?

Solution:

HAVING filters aggregates; WHERE filters rows before grouping.

Answer: HAVING

Key insights from 2025 Blinkit Online Assessment

1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
2. Quick Commerce Architecture Focus: Strong emphasis on quick commerce systems, inventory allocation, delivery optimization, logistics
3. Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
4. Success Rate: Only 10-15% cleared OA and advanced to interviews
5. Platform: Blinkit assessment platform or HackerRank
6. Focus Areas: Arrays, trees, graphs, dynamic programming, quick commerce architecture, inventory allocation
7. Enhanced Emphasis: Optimal solutions, quick commerce architecture, and inventory allocation system design

Blinkit 2025 interview experiences

Based on recent candidate experiences from 2025 Blinkit interviews:

2025 Interview Process:

1. Online Assessment (90 minutes): 2-3 coding problems
2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, quick commerce concepts, inventory allocation
3. Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each):

• Coding rounds (2-3): Algorithms, data structures, problem-solving
• System Design rounds: Quick commerce architecture, inventory allocation systems, delivery optimization, logistics systems
• Behavioral rounds: Problem-solving approach, quick commerce passion, impact

2025 Interview Trends:

• Increased emphasis on quick commerce architecture and inventory allocation system design
• More focus on optimal solutions and modern quick commerce technologies
• Enhanced behavioral questions about innovation and quick commerce passion
• Questions about quick commerce architecture and inventory allocation systems

Common 2025 Interview Topics:

• Coding: Arrays, strings, trees, graphs, dynamic programming, inventory allocation algorithms
• System Design: Quick commerce architecture, inventory allocation systems, delivery optimization, logistics systems
• Behavioral: Problem-solving, quick commerce passion, teamwork, impact
• Blinkit Technologies: Quick commerce architecture, inventory allocation systems, delivery optimization, logistics systems

Success Tips:

• Strong coding performance is essential - solve problems optimally
• Understand quick commerce concepts, inventory allocation, and quick commerce architecture
• Practice system design for quick commerce architecture and inventory allocation systems
• Prepare examples demonstrating problem-solving and quick commerce passion
• Learn Blinkit’s products and quick commerce technologies
• Practice explaining your thought process clearly

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

Preparation tips for Blinkit 2025 pattern

1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
2. Quick Commerce Architecture Expertise: Strong understanding of quick commerce architecture, inventory allocation systems, delivery optimization
3. Practice Previous Year Papers: Solve Blinkit 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. Quick Commerce Focus: Practice problems related to quick commerce systems and inventory allocation
7. System Design Mastery: Learn quick commerce architecture design, inventory allocation systems, delivery optimization
8. Blinkit Technologies: Learn quick commerce architecture, inventory allocation systems, delivery optimization, logistics systems
9. Behavioral Preparation: Prepare examples using STAR format - problem-solving, quick commerce passion, impact
10. Mock Tests: Take timed practice tests to improve speed and accuracy

Comments & Suggestions

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