16 articles
The complete system for FAANG mock interview preparation: a 5-week progressive schedule, the UMPIRE problem-solving framework, a 6-axis scoring rubric, and a self-graded session tracker that converts practice into real interview performance.
Week 1 of the FAANG mock interview program pairs easy and medium problems from arrays and trees. The goal is not ceiling testing — it is installing the think-aloud habits that distinguish passing candidates before difficulty ramps up in week 2.
Week 2 of the FAANG mock program pairs Number of Islands and Longest Increasing Subsequence. Solve each correctly, then deliver one optimization upgrade and handle a live follow-up question — the pattern that separates "passes" from "strong hire" ratings.
Week 3 of the FAANG mock program pairs Burst Balloons and Word Ladder II as hard problems under timed pressure. Learn the stuck-recovery protocol, the inversion insight, and why partial credit plus continuous communication beats silence every time.
Week 4 of the FAANG mock program runs full company-specific simulations matching the actual format, difficulty mix, and evaluation rubric of Google, Meta, and Amazon. The same problem communicated differently wins different ratings at each company.
Week 5 combines a 15-minute system design phase with a 30-minute coding implementation of one core component. This mirrors the senior-level interview format at Google, Meta, and Amazon where design breadth and implementation depth are tested together.
Raw mock practice without structured analysis does not compound. This framework covers error classification, a weekly improvement cycle, a 3-day drill pattern, and a performance tracking chart that turns each session into targeted, measurable growth.
Exact time allocation for a 45-minute FAANG coding interview covering one hard problem or two mediums. Includes the five common time traps, a stuck-recovery escalation protocol, and the 5-minute warning procedure that protects your score when you run out of time.
Master the STAR method for FAANG behavioral interviews. Covers the 10 must-prepare stories, how to connect technical decisions to measurable outcomes, answer length guidelines by interview type, and the red flags that cost candidates offers at the behavioral stage.
Map Amazon's 16 Leadership Principles to coding and behavioral interview behaviors. Includes the LP-to-question mapping, how to weave LP language naturally into technical explanations, the Bar Raiser format, and a per-LP preparation template.
Google interviews evaluate Googleyness alongside coding ability. This guide covers the 5-step coding walkthrough, the Googleyness criteria, the top 6 Google-favorite algorithm topics ranked by frequency, and the rubric interviewers use to score each round.
Meta's interview format is the most speed-intensive of the major FAANG companies: 4 problems in 70 minutes across two coding rounds. This guide covers Meta's core values evaluation, the speed techniques that matter, the practice problem set with time targets, and the impact framing Meta rewards.
A repeatable 45-minute framework for FAANG system design interviews covering requirements gathering, capacity estimation, high-level architecture, component deep dive, and trade-off discussion. Includes a vocabulary reference and a complete Twitter design walkthrough.
The 15 most common coding interview mistakes that cost candidates FAANG offers. Each mistake includes the root cause, what it signals to the interviewer, and the exact fix to apply in your next mock session.
The complete 7-day countdown plan for the week before a FAANG coding interview. Daily focus areas, what to review, what to skip, how to peak on interview day, and a pre-interview checklist covering logistics, mindset, and warm-up protocol.
The complete interview readiness reference: pattern recognition guide, complexity cheatsheet, STAR story index with LP mapping, UMPIRE checklist, company quick reference, and the three closing mindset principles that carry candidates through FAANG loops.