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UC Santa Barbara Interview Questions

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

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1
CodingStart here. 6 questions · ~59 min
Reverse a String in PythonEasy
Practice

Reverse a string in Python using character traversal and return the reversed result.

StringsfunctionspythonUC Santa Barbara
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2
Metrics5 questions · ~49 min
Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsUC Santa Barbara
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3
Execution6 questions · ~59 min
Handle Conflict Within Your TeamEasy

Explain how you handle team conflict while keeping delivery on track and maintaining trust across stakeholders.

Trade-offsRisk AssessmentScope ManagementUC Santa Barbara
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4
Pipelines6 questions · ~59 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityUC Santa Barbara
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5
Product Sense5 questions · ~49 min
Find Pain Points from FeedbackMedium

Use customer feedback to identify the biggest pain points in the user journey.

User ResearchUser NeedsPain PointsUC Santa Barbara
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6
Statistics & Probability5 questions · ~49 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesUC Santa Barbara
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7
More topics17 questions · ~167 min
Discuss Data Analysis Tooling ChoicesEasy

Explain how SQL fits with data analysis and visualization tools, and when to use each in an analytics workflow.

JoinsData WranglingAggregationsUC Santa Barbara
Marketing Budget Allocation StrategyEasy

Approach for allocating a constrained marketing budget across channels and objectives using ROI, trade-offs, and prioritization.

EstimationGrowth StrategyMarket SizingUC Santa Barbara
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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 & MoreInc.Benjamin Moore
Python or R Analysis LibrariesMedium
Practice
Practice drill

Count unique respondents by Python or R library and return the most commonly used libraries first.

analytics toolsData ManipulationData WranglingOklahoma City Thunder
Dashboard Design for User SegmentsMedium
Practice
Practice drill

Measure dashboard adoption by Johns Hopkins user segment using joins, aggregation, and reporting-period filters.

User NeedsJoinsData WranglingThe Johns Hopkins University
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