Advanced 30 Questions • ~10 hrs study

FAANG Interview Prep

Complete preparation guide for Google, Amazon, Meta, Apple, and Netflix — interview processes, question patterns, and insider tips.

1

What does a typical Google interview process look like?

Short Answer

Google: Recruiter screen → Phone screen (1 coding) → Onsite (4-5 rounds: 2-3 coding, 1 system design, 1 behavioral/Googleyness) → Hiring committee review → Team matching.

Key Tips

  • Coding: Focus on medium-hard LeetCode, especially arrays, trees, graphs, DP
  • System Design: Practice designing scalable systems (YouTube, Google Maps)
  • Googleyness: Demonstrate intellectual humility, collaboration, and comfort with ambiguity
  • Communication: Think aloud, ask clarifying questions, discuss trade-offs

💡 Memory Trick: "Google values: Think Big + Be Humble + Show Your Work"

2

How to prepare for Amazon's Leadership Principles questions?

Short Answer

Amazon has 16 Leadership Principles (LPs). Every behavioral question maps to 1-2 LPs. Prepare 2-3 STAR stories per LP. Most common: Customer Obsession, Ownership, Bias for Action, Deliver Results.

Top 5 Principles to Prepare

  • Customer Obsession: How you prioritized customer needs
  • Ownership: When you went beyond your job description
  • Dive Deep: How you debugged a complex issue with data
  • Bias for Action: When you made a quick decision with incomplete info
  • Deliver Results: How you hit a challenging deadline

💡 Memory Trick: "Amazon = STAR stories mapped to Leadership Principles. 2-3 stories per LP = interview-ready"

3

What's different about Meta (Facebook) interviews?

Short Answer

Meta focuses heavily on coding speed and system design at scale. Process: Recruiter → 2 phone screens (coding) → Onsite (2 coding + 1 system design + 1 behavioral). They value "Move Fast" and impact.

Key Differences

  • Coding: Expect to solve 2 problems in 35 minutes (speed matters)
  • System Design: Design Facebook features (News Feed, Messenger, Instagram)
  • Behavioral: Focus on impact, collaboration, and moving fast
  • ML roles: Additional ML system design round (recommendation, ranking)

💡 Memory Trick: "Meta = Speed + Scale. Practice solving 2 medium LeetCode problems in 35 min"

Questions 4-30 continue with company-specific breakdowns.

Topics covered: Apple (privacy focus, polish), Netflix (culture of freedom & responsibility), Microsoft, preparation timelines, LeetCode patterns by company, system design templates, and negotiation tips.

View Full Documentation →
Back to Companies Next: AI Companies