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Horizontal Interview Questions

The questions to prepare for Horizontal interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~45 min
2
Generative AI & LLMs3 questions · ~25 min
Fine-Tuning vs RAGHard

Compare fine-tuning and RAG for production, including data flow, updates, cost, latency, quality, and safety tradeoffs.

llm basicsRAGarchitectureHHorizontal
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3
Pipelines5 questions · ~41 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityHHorizontal
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4
Execution6 questions · ~49 min
Handle Scope Creep Mid-ProjectMedium

Explain how you would manage scope creep without damaging stakeholder trust or putting delivery at risk.

Trade-offsRisk AssessmentScope ManagementHHorizontal
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5
Metrics6 questions · ~49 min
Define Success for a ProjectEasy

Define what success means for a project using clear KPIs, a north star, and supporting metrics.

KPIsSuccess CriteriaDiagnosisHHorizontal
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6
Machine Learning5 questions · ~41 min
Feature Engineering for Sparse DataMedium

Explain how to engineer features for high-dimensional sparse data while controlling overfitting, dimensionality, and training cost.

data preprocessingFeature Engineeringsparse datasetsHHorizontal
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7
More topics22 questions · ~181 min
High-Concurrency LLM ServingHard

Design a low-latency, high-concurrency LLM serving layer with effective prompt, response, and KV-cache strategies.

high-frequency requestsinference latencyml inferenceHHorizontal
Embeddings and Vector Search at ScaleHard

Design a scalable embedding pipeline and approximate nearest-neighbor index for semantic text retrieval.

Vector SearchWord Embeddingssoftware engineeringHHorizontal
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.