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Prep plan
Updated weekly · Last refresh Oct 17

Microsoft AI Engineer Interview Questions

The questions to prepare for a Microsoft AI Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 8 questions · ~78 min
Merge Intervals ImplementationMedium
Practice

Sort intervals by start time, then merge every overlapping range into a disjoint interval list.

intervalsArraysArray ManipulationMicrosoft
Maximum Path Sum in TreeMedium
Practice
Recently asked

Use DFS tree dynamic programming to compute the maximum path sum across any parent-child path in a binary tree.

RecursionTreesGraphsMicrosoft
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2
System Design5 questions · ~49 min
Reduce Hallucinations in LLM/RAGHard

Design an end-to-end approach to reduce hallucinations in an LLM/RAG system.

factual groundingModel Servingfailure modesMicrosoft
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3
Model Evaluation7 questions · ~68 min
Explain Credit Risk Model PredictionsMedium
Recently asked

Explain individual lending decisions using model evidence while diagnosing worsening calibration and recall in production.

CalibrationPrecisionAccuracyMicrosoft
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4
Machine Learning9 questions · ~88 min
Distill Image Classifier for MobileMedium
Recently asked

Train a compact image classifier with knowledge distillation to match a large teacher while meeting mobile latency and model-size limits.

Neural NetworksDeep LearningSupervised LearningMicrosoft
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5
NLP6 questions · ~58 min
Fine-Tune a Large Language ModelEasy
Recently asked

Explain a practical approach to fine-tuning an LLM, from tokenization and data prep to training and evaluation.

Hyperparameter TuningLanguage ModelsDeep LearningMicrosoft
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6
Pipelines8 questions · ~78 min
Feature Engineering on Big DataMedium
Recently asked

Techniques for building scalable, reliable feature engineering pipelines on large datasets for ML workloads.

InfrastructureData WranglingETLMicrosoft
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7
More topics7 questions · ~68 min
Evaluate Faithfulness and RelevanceMedium
Recently asked

Evaluates your evaluation framework for grounding quality and usefulness in generative AI outputs.

Microsoft
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