Netflix Placement Papers 2024 - Previous Year OA Questions & Solutions

Company Overview

This page contains Netflix placement papers from 2024 with previous year online assessment questions, solutions, and exam patterns.

2024 Pattern

The 2024 Netflix placement process emphasized DSA mastery and system design fundamentals. Online assessment included 2-3 coding problems focusing on arrays, trees, graphs, and dynamic programming.

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

DSA Coding Problems (2024)

Question 1: LRU Cache

Q1: Design and implement a data structure for Least Recently Used (LRU) cache.

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)

2024 Hiring Trends

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

Related Resources

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Practice 2024 papers to understand Netflix OA pattern and prepare effectively!