Your AI Wingman for your next interview

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.

Company rubrics
Role-level optimisations
Trained on 1mil+ answers

System Design

4 years ago

Develop a task queue system for distributed environments.

Engineering Manager

Databricks

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4 years ago

Behavioral

4 years ago

What have you learned from a recent failure? How has this failure helped you to become a better {role}?

Backend Engineer

Databricks

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4 years ago

Behavioral

4 years ago

What do you think does Databricks values in its employees?

Product Manager

Databricks

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4 years ago

Behavioral

4 years ago

How would you handle it if a co-worker consistently arrives late to meetings?

Full Stack Software EngineerProgram ManagerFrontend EngineerData Scientist

Databricks

SailPoint

Flexport

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4 years ago

Behavioral

4 years ago

Which aspects of the {role} role at Databricks appeals to you most?

Software Engineer

Databricks

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4 years ago

Behavioral

4 years ago

How is your experience aligned with the values of Databricks?

Product Manager

Databricks

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4 years ago

Behavioral

4 years ago

Why would you be a good match for Databricks?

Product Manager

Databricks

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4 years ago

System Design

4 years ago

Design a system for detecting fraudulent transactions at Databricks

Software EngineerSite Reliability EngineerSite Reliability Engineering ManagerEngineering Manager

Databricks

Hootsuite

Gett

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4 years ago

Program ManagementProgram Sense

4 years ago

What is your plan of action when faced with a project deadline and resource constraints?

Program Manager

Databricks

Telegram Messenger

Wise

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4 years ago

Behavioral

4 years ago

How would you improve Databricks if you were to get the {role} job?

Frontend Engineer

Databricks

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4 years 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.