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New Interview Questions: March 2026

Questions added to the Dataford question bank in March 2026, ranked by how often they are asked in real interviews.

100questions
~15htotal time
1,246companies covered
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1
MetricsStart here. 10 questions · ~91 min
2
Coding10 questions · ~91 min
Synchronous vs Asynchronous ProgrammingMedium
Recently asked

Explain the differences between synchronous and asynchronous programming paradigms.

CATERPILLARDCMFujitsu
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3
SQL & Data Manipulation10 questions + 1 drill · ~101 min
Analyze Customer Purchase Trends with Window FunctionsMedium
Practice
Recently asked

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotWorld Wide TechnologyHewlett Packard Enterprise
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreHD SupplyBenjamin Moore
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4
Pipelines10 questions · ~91 min
Design an ETL Pipeline for Large DatasetsMedium
Recently asked

Design an ETL pipeline to process 10TB of data daily from multiple sources into a data warehouse with strict data quality checks.

InfrastructureETLData ModelingApex Fintech SolutionsLenovoInspire11
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5
Statistics & Probability10 questions · ~91 min
Understanding Type I and Type II Errors in TestingMedium
Recently asked

Differentiate between Type I and Type II errors in hypothesis testing with a practical example.

Hypothesis TestingStatistical SignificanceP-ValuesC-edgeGrabWebmd
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6
Model Evaluation9 questions · ~82 min
Choose RMSE vs MAEEasy

Compare two rent prediction models and decide whether MAE or RMSE is the better selection metric given costly large errors.

RegressionMAERMSEH E BGlobalityTCS
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7
More topics41 questions · ~375 min
Enhance User Onboarding with New TechnologyMedium

Redesign user onboarding process using new technology to improve user engagement and retention rates.

User ResearchUser NeedsValue PropositionAcumenEngineQuora
Explain Transformer Architecture and Attention MechanismsHard
Recently asked

Discuss the architecture of Transformers, focusing on self-attention and its impact on NLP tasks.

Neural NetworksLanguage ModelsDeep LearningAmazonOpenTextGoogle
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