2,709 real interview questions from the FAANG companies — Meta, Apple, Amazon, Netflix, and Google — plus Microsoft. Every question is sourced from verified candidate experiences and tagged with role, category, and interview round, with full solutions.
FAANG stands for Meta (formerly Facebook), Apple, Amazon, Netflix, and Google (Alphabet). Microsoft is commonly grouped in too — you will see the variants MANGA and MAANG — so this page covers all six.
PracHub indexes 2,709 real interview questions across the six FAANG/MAANG companies, each sourced from verified candidate interview reports and tagged with role, category, and interview round.
No. The loops differ: Amazon leans heavily on its Leadership Principles (behavioral), Meta runs tight 35-minute coding rounds plus product/system design, Google emphasizes algorithmic depth and "Googleyness," and Netflix weighs senior-level judgment and culture. Prepare per company rather than generically.
Cover three tracks: data structures and algorithms (coding rounds), system design (for mid/senior roles), and behavioral (especially Amazon). Practice on real, company-tagged questions and review the model solutions rather than only memorizing patterns.
It depends on the role and your strengths. Google and Meta are often cited as the most algorithmically demanding, Amazon as the most behavioral-heavy via its Leadership Principles, and Netflix as the most selective on seniority and culture fit.
Targeting a specific role? Browse a company hub to filter by role, category, and interview round.