Microsoft Interview Questions
The questions to prepare for Microsoft interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Build and compare baseline and engineered-feature classifiers for consumer loan default prediction, and explain how feature engineering changes model performance.
MicrosoftExplain how the two pointers technique works on arrays and strings, when to use it, and its common patterns.
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Reflect on a real execution failure, what caused it, how you responded, and what you changed afterward.
MicrosoftApproach for maintaining high quality data across ML pipelines, from ingestion through feature generation and model consumption.
MicrosoftAnalyze the significance of the F1 score in a binary classification model for customer churn prediction, and propose improvements.
MicrosoftExplain how to structure row-level and aggregate filtering in SQL reporting datasets and avoid common logic errors.
MicrosoftUse a CTE and ROW_NUMBER to identify duplicate customer records, keep one row, and flag the rest.
MicrosoftUse CTEs, LEFT JOINs, and ROW_NUMBER to return each active user's first and last event with deterministic tie-breaking.
MicrosoftAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreSet a clear north star, supporting KPIs, leading indicators, and guardrails for a new product feature.
MicrosoftDiscuss the architecture of Transformers, focusing on self-attention and its impact on NLP tasks.
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