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Netflix Placement Papers 2024

Overview

This page collects Netflix placement papers from 2024 with previous-year questions, solutions, and the 2024 exam pattern. It is useful when you want real drive history: what the OA looked like, which question types repeated, and how solutions were approached. Work through the papers below to build speed and accuracy, then compare against newer 2025 material so your prep matches both established Netflix patterns and the latest shifts.

Netflix Online Assessment 2024 pattern

Section Questions Time Difficulty Focus Areas
Coding Problems 2-3 60-80 min Medium-Hard Arrays, trees, graphs, DP
Debugging 1 20-30 min Medium Code fixes

Total: 3-4 problems, 90-120 minutes

Platform: HackerRank or Codility
Languages Allowed: Java, Python, Go, C++
Success Rate: ~10-15% cleared OA and advanced to interviews

Netflix Placement Papers 2024 - actual questions & solutions

This section contains practice questions styled on Netflix placement papers 2024 (previous-year 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: rotate array right by k

Show solution

Problem Statement: Rotate the array to the right by k steps.

Example:

Input: [1,2,3,4,5,6,7], k = 3
Output: [5,6,7,1,2,3,4]

Solution (Java):

public void rotate(int[] nums, int k) {
k %= nums.length;
reverse(nums, 0, nums.length - 1);
reverse(nums, 0, k - 1);
reverse(nums, k, nums.length - 1);
}
void reverse(int[] a, int l, int r) {
while (l < r) { int t = a[l]; a[l++] = a[r]; a[r--] = t; }
}

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

Question 2: 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 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: 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 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: 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 7: binary tree level order

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)

Question 8

Q8: 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)

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 normal form removes transitive dependency?

Solution:

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

Answer: 3NF

Question 11

Q11: Worst-case time complexity of quicksort is?

Solution:

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

Answer: O(n²)

Hiring volume

  • Total Hires: 200+ freshers in India
  • Software Engineer I: 150+ selections

Salary packages

  • Software Engineer I: ₹40-60 LPA total compensation

Key insights from 2024 Netflix Online Assessment

  1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
  2. System Design Focus: Strong emphasis on scalable system design and distributed systems
  3. Time Management: 2-3 coding problems in 60-80 minutes + 1 debugging in 20-30 minutes requires excellent speed
  4. Success Rate: Only 10-15% cleared OA and advanced to interviews
  5. Platform: HackerRank or Codility
  6. Focus Areas: Arrays, trees, graphs, dynamic programming, system design, distributed systems

Netflix 2024 interview experiences

Based on candidate experiences from 2024 Netflix interviews:

2024 Interview Process:

  1. Online Assessment (90-120 minutes): 2-3 coding problems + 1 debugging question
  2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, system design
  3. Onsite Interviews (4-5 rounds, 45-60 minutes each):
  • Coding rounds (2-3): Algorithms, data structures, problem-solving
  • System Design rounds: Scalable video streaming systems, distributed systems
  • Behavioral rounds: Problem-solving approach, innovation, cultural fit

Common 2024 Interview Topics:

  • Coding: Arrays, strings, trees, graphs, dynamic programming, LRU cache
  • System Design: Video streaming systems, recommendation engines, distributed systems
  • Behavioral: Innovation, problem-solving, cultural fit, impact
  • Netflix Technologies: Video streaming, recommendation algorithms, microservices

Success Tips:

  • Strong coding performance is essential - solve problems optimally
  • Practice system design for video streaming and distributed systems
  • Prepare examples demonstrating innovation and problem-solving
  • Learn Netflix’s culture and values
  • Practice explaining your thought process clearly

For detailed interview experiences, visit Netflix Interview Experience page.

Preparation tips for Netflix 2024 pattern

  1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
  2. System Design Mastery: Learn scalable system design, video streaming systems, distributed systems
  3. Practice Previous Year Papers: Solve Netflix OA papers from 2020-2024 to understand patterns
  4. Time Management: Practice completing 2-3 coding problems in 60-80 minutes, debugging in 20-30 minutes
  5. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
  6. System Design Practice: Learn video streaming, recommendation systems, distributed systems
  7. Netflix Culture: Understand Netflix’s culture, values, and innovation focus
  8. Behavioral Preparation: Prepare examples using STAR format - innovation, problem-solving, impact
  9. Mock Tests: Take timed practice tests to improve speed and accuracy
  10. Distributed Systems: Understand microservices, scalability, and distributed systems

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