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The most comprehensive bank Interview Answer Review tooling available online.

Cutting-edge AI technology meets personalized feedback. Improve your interview answers with insightful guidance provided by a model trained against more than a million human-labelled interview answers.

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Behavioral

a year ago

Could you tell me about a project you are very proud of?

Frontend EngineerProduct ManagerBackend EngineerSoftware Engineer

Databricks

Lime

Western Digital

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a year ago

ML Knowledge

a year ago

What sets CNNs apart from RNNs when it comes to learning from data?

Machine Learning Engineer

Databricks

Amazon Web Services

OneTrust

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a year ago

Behavioral

a year ago

What are some of your key objectives from the {role} role at Databricks?

Data Scientist

Databricks

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a year ago

Product DesignSystem DesignTechnicalProduct Sense

a year ago

What kind of vending machine would you design?

Product ManagerTechnical Program Manager

Databricks

Tesla

Zomato

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a year ago

System Design

a year ago

Develop a distributed storage system using key-value pairs.

Machine Learning Engineer

Databricks

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a year ago

Behavioral

a year ago

When was one of the times that you assisted one of your colleagues outside of your responsibilities? How did things go?

Data ScientistEngineering ManagerUX DesignerUX Researcher

Databricks

E*TRADE

ApplyBoard

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a year ago

Behavioral

a year ago

What do you think are some important success indicators for someone working in the {role} role?

Software Engineer

Databricks

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a year ago

Behavioral

a year ago

Describe a time when you were proven wrong

Data ScientistProgram ManagerEngineering ManagerUX Designer

Databricks

Postman

Gemalto

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a year ago

System Design

a year ago

Develop a web app that shortens URLs like TinyURL.

Site Reliability Engineer

Databricks

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a year ago

Behavioral

a year ago

If you took an unpopular decision, please tell me about it

Product ManagerEngineering ManagerUX DesignerUX Researcher

Databricks

NXP Semiconductors

LogMeIn

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a year ago

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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.