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Cohesity Interview Questions

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

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1
CodingStart here. 4 questions · ~38 min
Longest Substring Without RepeatsMedium
Practice
Recently asked

Find the longest substring with all unique characters using a sliding window.

Hash TablesStringsTwo PointersCohesity
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2
SQL & Data Manipulation3 questions + 2 drills · ~49 min
Top Product Revenue Last 30 DaysMedium
Practice

Use joins, a CTE, and aggregation to rank the top 5 products by non-returned revenue in the last 30 days.

Date FunctionsJoinsAggregationsCohesity
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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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3
Execution4 questions · ~38 min
Prioritize Competing Team ProjectsMedium

Decide how to prioritize competing engineering projects when stakeholders, dependencies, and capacity all conflict.

Trade-offsRoadmappingPrioritizationCohesity
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4
Pipelines4 questions · ~38 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityCohesity
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5
Machine Learning3 questions · ~29 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffCohesity
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6
Metrics4 questions · ~38 min
Measure Marketing Campaign SuccessEasy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading IndicatorsCohesity
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7
More topics28 questions · ~269 min
Discovery for Customer Pain PointsEasy

A framework for uncovering real customer pain points during discovery, grounded in user jobs, segments, and evidence.

Jobs to Be DoneUser ResearchPain PointsCohesity
Design a Highly Available ML Serving PlatformMedium

Design a distributed ML serving platform that stays available and scales under failures, traffic spikes, and model updates.

distributed systemsscalabilityhigh availabilityCohesity
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.