Google Interview Questions & Trends 2026 Q2: OA, VO, Coding & Behavioral

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Overall Trend

Google continues large-scale NG / Early Career hiring in 2026 Q2, with L4 SWE and AI/ML tracks dominating the pipeline. Several teams (Search/Ads/Recsys, AI/ML Infra, Cloud AI, MLE Recsys) have standardized on a "BQ + ML Domain + 2 Coding" four-round structure. Coding difficulty stays at LC medium, but follow-ups now consistently demand complexity optimization, scalability reasoning, and proactive edge-case coverage — communication quality and "pushing toward the optimal solution" matter almost as much as AC. [hidden]

Question Type Distribution

TypeCount%
General Coding3863%
ML Coding / Domain813%
System Design813%
Behavioral / OA / Hiring Assessment611%

Top 10 Hot Topics

RankTopicCountSample Threads
1Behavioral (conflict / ambiguity / mentor underperformer / peer pressure)25+thread1, thread2, thread3, thread4
2Union Find / Friend Circles (LC 2092 family, incl. dynamic connectivity)5thread1, thread2, thread3, thread4
3New Hiring Assessment "Most/Least like me"5thread1, thread2, thread3
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Topic Index

General Coding

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ML Coding / Domain

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System Design

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Difficulty Trend

Coding difficulty stays at LC medium overall, but follow-up "depth ramping" is noticeably faster than the previous quarter — many interviewers no longer settle for AC and immediately push for space optimization, streaming/distributed processing, and concurrency control.

  • Graph & Connectivity: basic problems are insta-solves; [hidden]
  • Top K / Heap: [hidden]
  • OOD: [hidden]
  • ML Fundamentals: [hidden]

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Notable Changes

  1. Hiring Assessment Format Change: [hidden]
  2. AI Debug Tool in OA: [hidden]
  3. ML SD Round Sometimes Turns into SDE SD: [hidden]
  4. Coding Follow-ups Are Now Universally Scalability-Focused: [hidden]
  5. Team Match Faster but Still the Bottleneck: [hidden]
  6. MLE Recsys L4 ML Domain Now Feels "Question-Bank Driven": [hidden]

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