Show Notes
A candidate works through three algorithmic problems in Go during a mock interview with a senior FAANG engineer. This mock touched on correctness, complexity tradeoffs, implementation clarity, and communication — the core signals real interviewers evaluate.🧩 Problem 1 — Longest Consecutive Sequence (Unsorted Array)Design an O(n) solution using a hash set to identify sequence starts and expand. Covers duplicate handling, boundary detection, and correctness reasoning without sorting.🧩 Problem 2 — Binary Tree Level Order TraversalClassic BFS over tree nodes, using a queue and level-by-level batching. Discussion includes space complexity, queue growth, and common implementation pitfalls.🧩 Problem 3 — Cutting Trees on a Cliff (Grid Stability / Connectivity)After removing one tree, determine which remaining trees are still connected to the bottom row. Involves multi-source BFS/DFS from stable nodes, component tracking, and correctness guarantees for 4-directional connectivity. Key skills demonstrated• Translating verbal reasoning into clean Go implementations• Maintaining communication while coding (a major FAANG evaluation axis)• Applying BFS/DFS patterns across trees and grids• Identifying optimal vs. suboptimal approaches via time/space analysis• Handling interviewer hints and recalibrating solutions• Ensuring correctness through example-driven verification👉 Book coaching or watch more mock interviews: https://www.interviewing.io📝 Interview transcript & feedback: https://interviewing.io/mocks/faang-go-longest-consecutive-sequence🔗 Explore more FAANG interviews: https://www.interviewing.io/mocksDisclaimer: All interviews are shared with explicit permission from the interviewer and interviewee. All candidates remain anonymous.
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REPLAY EPISODE: A candidate takes on two Meta-style interview problems—one array, one binary tree—and a Senior Meta engineer breaks down their performance step by step.In this Meta-style mock coding interview, a candidate is put through two challenging problems that test practical reasoning, optimal data structures, and clear communication — exactly what real Meta interviewers look for.🧩 Problem 1: Given a sorted array of positive integers and a target k, find the pair whose sum is closest to k.(A classic Meta-style twist on two-pointer optimization problems.)🧩 Problem 2: You’re given the root of a binary tree. If one person stands on the left side and another on the right side, return the nodes visible to both of them — left view (bottom → top) followed by right view (top → bottom).(A unique combination of tree view and traversal-order reasoning.)Watch how the candidate breaks down both problems like in a real Meta onsite:✅ Identifies the optimal O(n) two-pointer strategy✅ Handles tricky edge cases with clean logic✅ Designs a combined traversal strategy for dual tree views✅ Codes efficiently under pressure✅ Gets detailed feedback from a Senior Meta engineer💡 What you’ll learn:• Two-pointer patterns Meta loves to ask• How left/right tree views work and how to combine them• How to structure reasoning during a high-pressure interview• What great communication looks like in a real FAANG interview👉 Sign up to book coaching or watch more mock interviews: https://www.interviewing.io📝 Interviewer feedback & transcript: https://interviewing.io/mocks/facebook-python-closest-pair-sum🔗 Explore more Meta interviews: https://www.interviewing.io/mocks?company=metaDisclaimer: All interviews are shared with explicit permission from the interviewer and the interviewee. All candidates remain anonymous.
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REPLAY EPISODE: In this Google coding interview mock, a candidate tackles one of the trickiest binary tree problems that keeps showing up in real interviews.
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