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ML Knowledge

3 years ago

As they apply to decision trees, how do you explain bias and variance? Also, which is harder to tackle: high bias or high variance, and what's the basis for that?

Data Scientist

Cloudera

Elastic

Rivian

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3 years ago

Behavioral

3 years ago

In the role of Cloudera {role}, what would be the biggest challenge you think you would face?

Frontend Engineer

Cloudera

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3 years ago

Whiteboarding/problem solving

3 years ago

What strategies can be used to tackle the challenges of the 'freemium' subscription model in digital products, such as Spotify?

UX Designer

Cloudera

Careem

MYOB

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3 years ago

XFN Leadership

3 years ago

How do you ensure that all stakeholders are aware of and understand the roadmap and decision-making process?

Engineering ManagerData Engineering ManagerData Science ManagerML Engineering Manager

Cloudera

Pluralsight

Cruise

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3 years ago

Behavioral

3 years ago

Could you walk me through a decision that didn't pan out, what were the consequences, and what did you learn from the experience?

UX DesignerData Science ManagerEngineering ManagerUX Researcher

Cloudera

Trackmaven

Okta

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3 years ago

Behavioral

3 years ago

Where does your experience align with the values of Cloudera?

Software Engineer

Cloudera

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3 years ago

Behavioral

3 years ago

When have you gone an extra mile for a project or endeavor?

Full Stack Software EngineerData Engineering ManagerEngineering ManagerUX Designer

Cloudera

Roblox

PayPal

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3 years ago

System Design

3 years ago

Create a chat application with end-to-end encryption like WhatsApp.

Machine Learning Engineer

Cloudera

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3 years ago

System Design

3 years ago

Design a system for real-time fraud detection in financial transactions.

Software Engineer

Cloudera

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3 years ago

ML Knowledge

3 years ago

It would be helpful if you could share some insights into the various machine learning architectures you have experience with.

Data Scientist

Cloudera

Huawei

Affirm

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3 years ago

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