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Interview Questions

Review this list of 4,477 interview questions and answers verified by hiring managers and candidates.
  • "I said we could always revert the production issues. Solve it at DEV environment and then publish again. Interviewer gave me an example of it like a database schema change that may not be possible to revert. I said that we always used SQL scripts to upgrade and downgrade the database schema for each production deployment. So it would not be a problem for us. I guess my answer was not accepted."

    Bulent K. - "I said we could always revert the production issues. Solve it at DEV environment and then publish again. Interviewer gave me an example of it like a database schema change that may not be possible to revert. I said that we always used SQL scripts to upgrade and downgrade the database schema for each production deployment. So it would not be a problem for us. I guess my answer was not accepted."See full answer

    Software Engineer
    Behavioral
  • Add answer
    Machine Learning Engineer
    Behavioral
  • Meta logoAsked at Meta 
    5 answers
    Video answer for 'Design a smart lock.'
    +2

    "Smart Lock : Clarifying Questions : Are* we *talking about the locks we use for the doors or locks used for suitcases or study lockers ? "Scope is yours" What do we need by smart ? Are we a company that are already in lock business? - Yes Do we have significant marketshare in lock business ? - Yes Are we trying to address or improve any customer pain point or improve our metric? - "No" Customer Segment : Tech savvy - non tech savvy- Customer buys Old"

    Hari priya K. - "Smart Lock : Clarifying Questions : Are* we *talking about the locks we use for the doors or locks used for suitcases or study lockers ? "Scope is yours" What do we need by smart ? Are we a company that are already in lock business? - Yes Do we have significant marketshare in lock business ? - Yes Are we trying to address or improve any customer pain point or improve our metric? - "No" Customer Segment : Tech savvy - non tech savvy- Customer buys Old"See full answer

    Product Designer
    Product Design
  • "I would start with some clarifying questions: What is the goal of the 'Report ad' feature? what do you think? Are we looking at the blue app or Instagram? The ad placement can be adjusted to the both apps, so look at it has a whole Are we looking at a specific location of the report ad? like stories or feed or reels? Nope Are we looking at a specific OS? everywhere Is there some timeline? or restrictions? no Are we looking at a specific market? worldwide Thank you, I"

    R K. - "I would start with some clarifying questions: What is the goal of the 'Report ad' feature? what do you think? Are we looking at the blue app or Instagram? The ad placement can be adjusted to the both apps, so look at it has a whole Are we looking at a specific location of the report ad? like stories or feed or reels? Nope Are we looking at a specific OS? everywhere Is there some timeline? or restrictions? no Are we looking at a specific market? worldwide Thank you, I"See full answer

    Product Manager
    Analytical
  • "I don't get it. could you add a little more detail please."

    Karthik S. - "I don't get it. could you add a little more detail please."See full answer

    Software Engineer
    Technical
  • 🧠 Want an expert answer to a question? Saving questions lets us know what content to make next.

  • "Clarifying question: how does Uber know that this is happening and has there already been research as to why drivers are doing this? Approach: Understand the problem and how big of a problem is it? Is it a big enough problem to address given other competing priorities? Given the why's both for drivers and riders, ideate solutions to both drivers and riders Prioritize solutions Measure of success Summary Propose the approach above and solicit feedback from interviewer, incorporat"

    Anonymous Sparrow - "Clarifying question: how does Uber know that this is happening and has there already been research as to why drivers are doing this? Approach: Understand the problem and how big of a problem is it? Is it a big enough problem to address given other competing priorities? Given the why's both for drivers and riders, ideate solutions to both drivers and riders Prioritize solutions Measure of success Summary Propose the approach above and solicit feedback from interviewer, incorporat"See full answer

    Product Manager
    Product Strategy
  • Machine Learning Engineer
    Concept
  • Netflix logoAsked at Netflix 
    Add answer
    Machine Learning Engineer
    Concept
  • JP Morgan Chase logoAsked at JP Morgan Chase 
    Add answer
    Machine Learning Engineer
    Concept
  • JP Morgan Chase logoAsked at JP Morgan Chase 
    1 answer

    "It might not be a good idea to predict stock prices only based on reddit comments. You could create a signal from reddit comments that can indicate "social media interest" and feed it into a ML system (along with other features) that predicts prices. Collecting good data to train the model and evaluating it correctly are going to be huge challenges."

    Satyajit G. - "It might not be a good idea to predict stock prices only based on reddit comments. You could create a signal from reddit comments that can indicate "social media interest" and feed it into a ML system (along with other features) that predicts prices. Collecting good data to train the model and evaluating it correctly are going to be huge challenges."See full answer

    Machine Learning Engineer
    System Design
  • Hubspot logoAsked at Hubspot 
    Add answer
    Machine Learning Engineer
    Concept
    +1 more
  • Netflix logoAsked at Netflix 
    1 answer

    "I've participated in several competitions in Kaggle concerning medical images. My most recent competition deals with images of skin lesions and classifying them as either melanoma or not. I focused on fine-tuning pretrained models and ensembling them. I also like to keep track of the latest trends of computer vision research, with a focus on making models memory-efficient through model compression and interpretability."

    Xuelong A. - "I've participated in several competitions in Kaggle concerning medical images. My most recent competition deals with images of skin lesions and classifying them as either melanoma or not. I focused on fine-tuning pretrained models and ensembling them. I also like to keep track of the latest trends of computer vision research, with a focus on making models memory-efficient through model compression and interpretability."See full answer

    Machine Learning Engineer
    Behavioral
  • Scale AI logoAsked at Scale AI 
    Add answer
    Machine Learning Engineer
    Behavioral
  • Scale AI logoAsked at Scale AI 
    1 answer

    "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"

    Shibin P. - "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"See full answer

    Machine Learning Engineer
    Concept
  • Machine Learning Engineer
  • Machine Learning Engineer
    Concept
    +1 more
  • Canva logoAsked at Canva 
    1 answer

    "3.3 years , java and Angular Full stack developer "

    Prakash K. - "3.3 years , java and Angular Full stack developer "See full answer

    Software Engineer
    Behavioral
  • Canva logoAsked at Canva 
    3 answers

    "inheritance means its acquire all properties from parent class to child class.composition means its acquire some properties as our request is called composition"

    Niteesh V. - "inheritance means its acquire all properties from parent class to child class.composition means its acquire some properties as our request is called composition"See full answer

    Software Engineer
    Concept
  • +7

    "There are two parts to this questions: Part 1: Why did Meta create Rooms? ( limiting to video collaboration) Answer: Potential reasons for Meta to create their own Zoom equivalent: Provide a video collaboration platform to employees. Due to size and global distribution of its workforce it may make economic sense to make an in-house product that is cheaper than buying an enterprise license of Zoom Meta already has the technology and infrastructure to do videocalls and meetings because of"

    Tony A. - "There are two parts to this questions: Part 1: Why did Meta create Rooms? ( limiting to video collaboration) Answer: Potential reasons for Meta to create their own Zoom equivalent: Provide a video collaboration platform to employees. Due to size and global distribution of its workforce it may make economic sense to make an in-house product that is cheaper than buying an enterprise license of Zoom Meta already has the technology and infrastructure to do videocalls and meetings because of"See full answer

    Product Manager
    Analytical
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