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Behavioral

3 years ago

What would you change to make Databricks better?

Software Engineer

Databricks

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3 years ago

Behavioral

3 years ago

Could you tell us why you'd make a good fit for Databricks?

Frontend Engineer

Databricks

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3 years ago

Product DesignProduct Execution

3 years ago

How do you prioritize among competing features?

Product Manager

Databricks

HERE Technologies

GoStudent

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3 years ago

SQL

3 years ago

Could you present a design for a song information database, including tables, attributes, and their datatypes?

Data Scientist

Databricks

Discord

DigitalOcean

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3 years ago

ML Knowledge

3 years ago

What are overfitting and underfitting in machine learning? Why are they crucial factors to consider when developing models?

Machine Learning Engineer

Databricks

HubSpot

AppDynamics

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3 years ago

Behavioral

3 years ago

Could you give an example of a time when you had to step in and disagree with a colleague's approach?

Engineering ManagerUX ResearcherUX DesignerData Engineering Manager

Databricks

MakeMyTrip

NerdWallet

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3 years ago

Product SenseProduct Design

3 years ago

Which is your favorite product? In what ways would you improve it?

Product Manager

Databricks

SailPoint

Carta

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3 years ago

Behavioral

3 years ago

Can you tell me about a time when you took charge of a project and saw it through to completion?

UX DesignerTechnical Program ManagerSoftware EngineerProduct Manager

Databricks

ApplyBoard

Naspers

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3 years ago

Behavioral

3 years ago

Are you doing anything to set yourself apart from others?

Full Stack Software EngineerML Engineering ManagerData Science ManagerData Engineering Manager

Databricks

OfferUp

eToro

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3 years ago

System Design

3 years ago

Build a user-tailored content stream like Facebook's.

Engineering Manager

Databricks

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3 years ago

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Software Engineer

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Databricks

Product Manager

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Product Strategy

Databricks

Engineering Manager

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System Design

Databricks

Data Scientist

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DS Analytical Execution

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^*All interview questions are submitted by recent Databricks candidates, labelled and categorized by Prepfully, and then published after verification by current and ex-Databricks employees.