Interview Questions

Review this list of 4,065 interview questions and answers verified by hiring managers and candidates.
  • "No ,MSE is suitable for only regression modes. Although the logistic regression in Its name has regression , but it is a classification problem so MSE is not suitable for classification models like logistic regression."

    1036 loknadh R. - "No ,MSE is suitable for only regression modes. Although the logistic regression in Its name has regression , but it is a classification problem so MSE is not suitable for classification models like logistic regression."See full answer

    Concept
    Machine Learning
  • Adobe logoAsked at Adobe 

    "simply check its size if the size if the size is greater than n then yes it has duplicate"

    Kunal kumar S. - "simply check its size if the size if the size is greater than n then yes it has duplicate"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Meta (Facebook) logoAsked at Meta (Facebook) 
    Product Manager
    Product Design
  • "One of the biggest work challenges I've overcome happened at my last job. Two team members were let go and I was left with the workload of three people. I fell behind and knew I couldn't keep up in the long term, so I asked my manager for help."

    Abdurhman M. - "One of the biggest work challenges I've overcome happened at my last job. Two team members were let go and I was left with the workload of three people. I fell behind and knew I couldn't keep up in the long term, so I asked my manager for help."See full answer

    Behavioral
  • Amazon logoAsked at Amazon 

    "N/A. I never had the same experience."

    Onesimo F. - "N/A. I never had the same experience."See full answer

    Solutions Architect
    Behavioral
  • 🧠 Want an expert answer to a question? Saving questions lets us know what content to make next.

  • Meta (Facebook) logoAsked at Meta (Facebook) 
    Product Design
    System Design
  • Truecaller logoAsked at Truecaller 

    "Feel free to download the full assignment (with screens) here: https://www.varunja.in/blog/assignment, cheers! Expected Outcome: Users: What do you know about the users of WhatsApp? What do they want? Features: What features will you build? Prioritization: What will be in your MVP and what will be in your 2.0 version? After you have decided on the MVP: Engineering: How hard is this to build? How long might it take? Are there ways to build a solution more quicker? Design: How does your new fea"

    Varun J. - "Feel free to download the full assignment (with screens) here: https://www.varunja.in/blog/assignment, cheers! Expected Outcome: Users: What do you know about the users of WhatsApp? What do they want? Features: What features will you build? Prioritization: What will be in your MVP and what will be in your 2.0 version? After you have decided on the MVP: Engineering: How hard is this to build? How long might it take? Are there ways to build a solution more quicker? Design: How does your new fea"See full answer

    Product Manager
    Product Strategy
    +2 more
  • "Me: Thanks for this. I have a few clarification questions- what would be the museum? Is this an art museum? A museum with ancient things from across the globe? Is there a specific theme? Interviewer: You can consider that this is a modern art museum like MOMA in New York. Me: Thanks -- and to make sure, do you have any additional specifications in what this product wants to tackle? Specifically, are we trying to make the museum experience better, the ticketing experience better or anything els"

    Talles S. - "Me: Thanks for this. I have a few clarification questions- what would be the museum? Is this an art museum? A museum with ancient things from across the globe? Is there a specific theme? Interviewer: You can consider that this is a modern art museum like MOMA in New York. Me: Thanks -- and to make sure, do you have any additional specifications in what this product wants to tackle? Specifically, are we trying to make the museum experience better, the ticketing experience better or anything els"See full answer

    Product Design
  • Peloton logoAsked at Peloton 

    "Clarifying questions: What do we mean by 'improve'? What part of Peloton's experience are we interested in improving? We want to improve the experience of setting up Peloton equipment after a customer has received it from our transportation provider. Is there a specific piece of equipment we're targeting? Bike, treadmill? Bike Why is Peloton interested in improving this part of the experience? What is the metric we are trying to drive? We have learned that custo"

    William W. - "Clarifying questions: What do we mean by 'improve'? What part of Peloton's experience are we interested in improving? We want to improve the experience of setting up Peloton equipment after a customer has received it from our transportation provider. Is there a specific piece of equipment we're targeting? Bike, treadmill? Bike Why is Peloton interested in improving this part of the experience? What is the metric we are trying to drive? We have learned that custo"See full answer

    Product Design
  • Technical Program Manager
    System Design
  • +1

    "Let's define the term "everybody" to start with. I can think of a few things: business users want it for certain feature Blackberry had consumers (non-business) users want to use or keep using Blackberry for certain features Interviewer: Business users wanted it. Okay. My assumption would be that business users wanted it for the security features that Blackberry so famously promoted. Here, business users could be the organization buying the phone (such as HP or Google) or the actual e"

    Ayan H. - "Let's define the term "everybody" to start with. I can think of a few things: business users want it for certain feature Blackberry had consumers (non-business) users want to use or keep using Blackberry for certain features Interviewer: Business users wanted it. Okay. My assumption would be that business users wanted it for the security features that Blackberry so famously promoted. Here, business users could be the organization buying the phone (such as HP or Google) or the actual e"See full answer

    Product Strategy
  • "Product Vision, Product Roadmap, Product Requirements (User-stories), Metric analysis, Market/user research"

    Affreen M. - "Product Vision, Product Roadmap, Product Requirements (User-stories), Metric analysis, Market/user research"See full answer

    Behavioral
  • Product Manager
    Product Strategy
    +1 more
  • "I asked for clairication on what region in the world we were focusing on and I settled on the United States. I asked for clarification on the type of doctors and for what kind of patients and that was left up to me. I landed on any patient looking to find a doctor for "Preventive Medicine" given that the US is hurting on that. The pain points were around expensive/payment methods, access & lacking knowledge to know what kind of doctor is best for each person. I spent too much time here and had l"

    Abel alejandro H. - "I asked for clairication on what region in the world we were focusing on and I settled on the United States. I asked for clarification on the type of doctors and for what kind of patients and that was left up to me. I landed on any patient looking to find a doctor for "Preventive Medicine" given that the US is hurting on that. The pain points were around expensive/payment methods, access & lacking knowledge to know what kind of doctor is best for each person. I spent too much time here and had l"See full answer

    Product Manager
    Product Design
  • Amazon logoAsked at Amazon 
    Product Manager
    Behavioral
  • DocuSign logoAsked at DocuSign 
    Product Manager
    Behavioral
  • Amazon logoAsked at Amazon 
    Video answer for 'Critique Amazon.'
    Product Designer
    App Critique
    +1 more
  • "When we collect too much user data or survey responses, we risk creating data overload, which can hinder data analysis by clouding important insights with excessive, unnecessary information. This could make it more difficult to discern meaningful patterns or trends from the data, adding complexity to our data processing tasks and potentially leading to incorrect conclusions or strategies. Furthermore, over-collecting data may compromise users' privacy and trust. If users find out that a company"

    Surbhi G. - "When we collect too much user data or survey responses, we risk creating data overload, which can hinder data analysis by clouding important insights with excessive, unnecessary information. This could make it more difficult to discern meaningful patterns or trends from the data, adding complexity to our data processing tasks and potentially leading to incorrect conclusions or strategies. Furthermore, over-collecting data may compromise users' privacy and trust. If users find out that a company"See full answer

    Product Manager
    Technical
  • Statistics & Experimentation
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