Netflix Interview Questions (11+ Questions)

Last Updated: June 8, 2026 β€’ 11 Questions β€’ Real Company Interviews

Prepare for your Netflix interview with our comprehensive collection of 11+ real interview questions and detailed answers. These questions have been curated from actual Netflix technical interviews across various roles including DevOps Engineer, Data Engineer, QA Engineer, and more.

11
Interview Questions
1
Categories
3
Difficulty Levels

Table of Contents

Our Netflix interview questions cover a wide range of technical topics and difficulty levels, from entry-level positions to senior roles. Each question includes detailed explanations and answers to help you understand the concepts and prepare effectively for your interview.

πŸ’‘ Pro Tips for Netflix Interviews

  • Practice each question and understand the underlying concepts
  • Review Netflix's specific technologies and methodologies
  • Prepare follow-up questions and edge cases
  • Practice explaining your solutions clearly and concisely

Interview Questions & Answers

1. Service Port Health Check

Company: Netflix Difficulty: medium πŸ”’ Premium Categories: Devops

Learn how to test TCP connectivity to multiple service ports on a remote host using Linux Bash commands. This guide covers verifying reachability of critical services (SSH, DNS, HTTP, HTTPS, MySQL, gRPC) and generating structured connectivity reports, essential for diagnosing intermittent service failures and firewall configuration issues.

2. Remove File from Entire Git History

Company: Netflix Difficulty: medium Categories: Devops, Data analysis, Data engineering, Quality assurance

Eliminate accidentally committed sensitive files from entire Git history to prevent credential exposure. Rewrite all commits to remove secrets.env, regenerate commit hashes, force push updated history to remote, and verify file cannot be recovered from any commit. Essential for security incident response, credential leak remediation, compliance requirements, and preventing unauthorized access to exposed secrets in public or shared repositories.

3. Group Anagrams

Company: Netflix Difficulty: medium Categories: Devops, Data engineering, Quality assurance

def group_anagrams(strs: list[str]) -> list[list[str]]:
anagram_map = {}
for s in strs:
count = [0] * 26
for c in s:
count[ord(c) - ord('a')] += 1
signature = tuple(count)
if signature not in anagram_map:
anagram_map[signature] = []
anagram_map[signature].append(s)
return list(anagram_map.values())

4. Max Area of Island

Company: Netflix Difficulty: medium Categories: Devops, Data engineering

def max_area_of_island(grid: list[list[int]]) -> int:
ROWS, COLS = len(grid), len(grid[0])
max_area = 0

def dfs(r, c):
    if r < 0 or r >= ROWS or c < 0 or c >= COLS or grid[r][c] == 0:
        return 0
        
    grid[r][c] = 0
    
    return (1 + 
            dfs(r + 1, c) + 
            dfs(r - 1, c) + 
            dfs(r, c + 1) + 
            dfs(r, c - 1))
            
for r in range(ROWS):
    for c in range(COLS):
        if grid[r][c] == 1:
            max_area = max(max_area, dfs(r, c))
            
return max_area

5. Generate Self-Signed Certificate for Development

Company: Netflix Difficulty: easy πŸ”’ Premium Categories: Devops

Generate a self-signed X.509 certificate and private key for a development HTTPS service with a specific validity period and Common Name.

6. ORDER BY with Multiple Columns

Company: Netflix Difficulty: medium πŸ”’ Premium Categories: Data analysis, Data engineering

How to Write a SQL Query to Retrieve Employee Names, Department Names, and Salaries

Objective

In this article, we will learn how to write a SQL query to retrieve the names of employees, their corresponding department names, and their salaries from the given employees and departments tabl...


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7. Filter Popular Videos

Company: Netflix Difficulty: medium Categories: Data analysis, Data engineering

Filter a streaming platform DataFrame based on multiple conditions.

8. Calculating Annual GDP Growth Rates

Company: Netflix Difficulty: hard Categories: Data analysis, Data engineering

Master time series calculations in PySpark. Learn how to combine datasets, use the lag window function to retrieve previous row values, and handle gaps in chronological data using conditional logic.

9. Device Viewership Analysis

Company: Netflix Difficulty: easy Categories: Data engineering

SELECT
SUM(
CASE
WHEN device_type = 'laptop' THEN 1
ELSE 0
END
) AS laptop_views,
SUM(
CASE
WHEN device_type IN ('tablet', 'phone') THEN 1
ELSE 0
END
) AS mobile_views
FROM
viewership;

10. Cloud Storage API Testing

Company: Netflix Difficulty: medium πŸ”’ Premium Categories: Quality assurance

Google Cloud Storage handles petabytes of data for millions of users worldwide. QA testing of Cloud Storage APIs requires comprehensive validation of bucket operations, permission management, and metrics monitoring to ensure reliable cloud infrastructure services....


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11. Professional Network API Testing

Company: Netflix Difficulty: easy πŸ”’ Premium Categories: Quality assurance

LinkedIn connects over 900 million professionals worldwide, serving as the leading platform for professional networking, career development, and business relationships. QA testing of LinkedIn APIs requires comprehensive validation of profile management, connection requests, content sharing, and comp...


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