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Licious Placement Papers 2025

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

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

Licious Placement Papers 2025 - actual questions & solutions

Section titled “Licious Placement Papers 2025 - actual questions & solutions”

This section contains practice questions styled on Licious 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.

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)

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)

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)

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)

Show solution

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)

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)

Show solution

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)

Q8: Worst-case time complexity of quicksort is?

Solution:

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

Answer: O(n²)

Q9: 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)

Q10: Which normal form removes transitive dependency?

Solution:

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

Answer: 3NF

Q11: Which protocol is connection-oriented at the transport layer?

Solution:

TCP is connection-oriented; UDP is connectionless.

Answer: TCP

Key insights from 2025 Licious Online Assessment

Section titled “Key insights from 2025 Licious Online Assessment”
  1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
  2. E-commerce Architecture Focus: Strong emphasis on e-commerce systems, order processing, inventory management, supply chain
  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: Licious assessment platform or HackerRank
  6. Focus Areas: Arrays, trees, graphs, dynamic programming, e-commerce architecture, order processing
  7. Enhanced Emphasis: Optimal solutions, e-commerce architecture, and order processing system design

Based on recent candidate experiences from 2025 Licious interviews:

2025 Interview Process:

  1. Online Assessment (90 minutes): 2-3 coding problems
  2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, e-commerce concepts, order processing
  3. Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each):
  • Coding rounds (2-3): Algorithms, data structures, problem-solving
  • System Design rounds: E-commerce architecture, order processing systems, inventory management, supply chain systems
  • Behavioral rounds: Problem-solving approach, e-commerce passion, impact

2025 Interview Trends:

  • Increased emphasis on e-commerce architecture and order processing system design
  • More focus on optimal solutions and modern e-commerce technologies
  • Enhanced behavioral questions about innovation and e-commerce passion
  • Questions about e-commerce architecture and order processing systems

Common 2025 Interview Topics:

  • Coding: Arrays, strings, trees, graphs, dynamic programming, order processing algorithms
  • System Design: E-commerce architecture, order processing systems, inventory management, supply chain systems
  • Behavioral: Problem-solving, e-commerce passion, teamwork, impact
  • Licious Technologies: E-commerce architecture, order processing systems, inventory management, supply chain systems

Success Tips:

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

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

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

Blinkit · Meesho · Google · Amazon · Microsoft · TCS


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