Kuaishou Interview Questions
The questions to prepare for Kuaishou interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Framework for using product data to identify and prioritize the user problem that should be solved first.
Optimize a Spark join where skewed keys create long-running tasks during a transaction to merchant metadata enrichment step.
Compare RANK, DENSE_RANK, and ROW_NUMBER by applying each to ordered employee scores.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Design a low-latency, high-concurrency LLM serving layer with effective prompt, response, and KV-cache strategies.
Design a scalable embedding pipeline and approximate nearest-neighbor index for semantic text retrieval.
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Join two tables and derive palindrome, reversed-substring, and character-frequency results with PostgreSQL.
HsbcApproach a mixed interview round while summarizing completed activity with a CTE, aggregation, and left join.
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