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Technical
3 years ago
Could you explain your methodology for assessing priority in ML-related tasks?
ML Engineering Manager

Amazon Web Services

Pinterest

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3 years ago
System Design
3 years ago
Develop a hotel reservation system.
ML Engineering Manager

Amazon Web Services

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3 years ago
System Design
3 years ago
Design a music streaming service like Spotify.
ML Engineering Manager

Amazon Web Services

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3 years ago
Role Related KnowledgeBehavioral
3 years ago
How do you mentor or support junior sales team members?
Technical Account Manager

Amazon Web Services

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3 years ago
Product Sense
3 years ago
Pick an app/website of your choice. How will you study user disengagement from the product?
UX Researcher

Amazon Web Services

Viber Logo

Viber

Zoox Logo

Zoox

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3 years ago
BehavioralPeople Management
3 years ago
Can you describe your coaching style when it comes to ICs and give an example of how you have applied it?
Data Engineering ManagerData Science ManagerML Engineering Manager

Amazon Web Services

DoorDash Logo

DoorDash

TikTok Logo

TikTok

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3 years ago
System Design
3 years ago
Design a system for real-time processing of medical sensor data.
Engineering Manager

Amazon Web Services

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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

Amazon Web Services

Careem Logo

Careem

 MYOB Logo

MYOB

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3 years ago
People ManagementTechnical
3 years ago
Can you explain the steps you would take to develop an ambitious IC into a DS Manager and how would you approach it?
Data Science Manager

Amazon Web Services

Microsoft Logo

Microsoft

PayPal Logo

PayPal

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3 years ago
iOS System Design
3 years ago
Break down the architectural design of the Messenger app for iOS. Deepdive into what you'd choose to cache.
iOS Engineer

Amazon Web Services

Whatsapp Logo

Whatsapp

Swiggy Logo

Swiggy

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3 years ago

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

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