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Behavioral

5 months ago

Talk about an occurrence when you and your manager didn't see eye to eye and how you responded to the dissention.

Product Marketing ManagerData Engineering ManagerEngineering ManagerUX Designer

Workday

Pepperfry

Huawei

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5 months ago

Statistics

5 months ago

Could you explain a probability distribution that is not normal? Further, can you shed some light on a real-life scenario where this could be utilized?

Data Scientist

Workday

Venmo

Roku

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5 months ago

Behavioral

5 months ago

How do you manage to stay calm in difficult or high-pressure customer interactions?

Customer Service Representative

Workday

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5 months ago

Product SenseWhiteboarding/problem solvingProduct Design

5 months ago

What would be your approach to developing an application that connects individuals with a primary healthcare provider?

UX DesignerProduct Manager

Workday

Carta

Intuit

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5 months ago

ML Knowledge

5 months ago

Please distinguish the synopses of Logistic Regression and SVM.

Data Scientist

Workday

Bosch

Zomato

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5 months ago

Whiteboarding/problem solvingSituationalBehavioral

5 months ago

Have you ever had to deliver bad news to a client about a mistake? How did you do it?

Account Manager

Workday

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5 months ago

ML Knowledge

5 months ago

What approach do you take to handle datasets with imbalanced classes, where one category has a much larger number of instances than the other?

Data Scientist

Workday

GoCardless

Mollie

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5 months ago

ML Knowledge

5 months ago

What are the key steps you take when performing ETL? How do you prioritize these steps?

Machine Learning Engineer

Workday

Snap

Meetup

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5 months ago

Behavioral

5 months ago

What’s the best part of being in customer service, in your opinion?

Customer Service Representative

Workday

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5 months ago

Problem SolvingSituational

5 months ago

Can you describe an experience where you had to assist a customer facing a language barrier? How did you address the challenge?

Customer Experience Lead

Workday

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5 months ago

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