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Interview Questions

Review this list of 4,477 interview questions and answers verified by hiring managers and candidates.
  • GitHub logoAsked at GitHub 
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    Engineering Manager
    Behavioral
  • "What is your experience with user testing? All products/feature I have worked on B2C space is primarily testing users for a hypothesis. Why B2C? Because you have millions of users who you have not met and also impossible to meet. Hence we formulate hypotheses and evaluate users' behaviour based on our goal. For example, one of the last features I worked on tried to answer the question "Will users who pay their bill using Net Banking use other payment methods if it is not shown to them?" Henc"

    Aravinth K. - "What is your experience with user testing? All products/feature I have worked on B2C space is primarily testing users for a hypothesis. Why B2C? Because you have millions of users who you have not met and also impossible to meet. Hence we formulate hypotheses and evaluate users' behaviour based on our goal. For example, one of the last features I worked on tried to answer the question "Will users who pay their bill using Net Banking use other payment methods if it is not shown to them?" Henc"See full answer

    Behavioral
  • "Predicting user behavior generally is hard, unless you incorporate in all your product changes some kind of psychology based trigger or make behavior science-driven changes. For example creating scarcity like Booking.com who tell you that the rooms are about to be booked by someone else, or that others are looking at the property or booking actively today. Otherwise you'd have to rely on A/B testing and feature flags to release and measure the impact of product updates. A/B testing is a statis"

    Georgi S. - "Predicting user behavior generally is hard, unless you incorporate in all your product changes some kind of psychology based trigger or make behavior science-driven changes. For example creating scarcity like Booking.com who tell you that the rooms are about to be booked by someone else, or that others are looking at the property or booking actively today. Otherwise you'd have to rely on A/B testing and feature flags to release and measure the impact of product updates. A/B testing is a statis"See full answer

    System Design
  • Google logoAsked at Google 
    1 answer

    "A perceptron is the most basic building block of a neural network and represents a single-layer binary classifier."

    Lash - "A perceptron is the most basic building block of a neural network and represents a single-layer binary classifier."See full answer

    Technical Program Manager
    Concept
    +1 more
  • Twitch logoAsked at Twitch 
    1 answer

    "This is one of the core behavioral questions that you should expect to cover in any interview. In particular, it asks you to justify why you want to work at a specific company that you've applied for. There's no right answer for this, however we do recommend you list at least three distinct reasons. Here's an example of what you might say: > That's a great question. There are three main reasons why I want to work at Twitch:Building a product I use > Working in marketplaces > Mentorship > I'll go"

    Exponent - "This is one of the core behavioral questions that you should expect to cover in any interview. In particular, it asks you to justify why you want to work at a specific company that you've applied for. There's no right answer for this, however we do recommend you list at least three distinct reasons. Here's an example of what you might say: > That's a great question. There are three main reasons why I want to work at Twitch:Building a product I use > Working in marketplaces > Mentorship > I'll go"See full answer

    Product Manager
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  • Microsoft logoAsked at Microsoft 
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    Technical
  • Google logoAsked at Google 
    2 answers

    "I will talk about the carwash landscape here a bit. How futuristic do you want the solution to be - flying cars kind of futuristic or something that I can use even now ? What do you mean by a car wash - Is it a physical location where I take my car to OR is it something that I can install at home ? There are two sides to a car wash set up - the car wash company and the user - I am going to assume that we are building this solution for the user. Is there an specific goal in mind or I can cho"

    Suyash kumar T. - "I will talk about the carwash landscape here a bit. How futuristic do you want the solution to be - flying cars kind of futuristic or something that I can use even now ? What do you mean by a car wash - Is it a physical location where I take my car to OR is it something that I can install at home ? There are two sides to a car wash set up - the car wash company and the user - I am going to assume that we are building this solution for the user. Is there an specific goal in mind or I can cho"See full answer

    Product Design
  • "The best and average of both the algorithms is same which is O(nlog(n)), but the worst time complexity of QuickSort is O(n^2){a case where all the elements are sorted in opposite to the fashion/order you want} while the worst TC for merge sort remains the same O(nlog(n)). and The SC for QS=O(logn) and MS=O(n)."

    The_ A. - "The best and average of both the algorithms is same which is O(nlog(n)), but the worst time complexity of QuickSort is O(n^2){a case where all the elements are sorted in opposite to the fashion/order you want} while the worst TC for merge sort remains the same O(nlog(n)). and The SC for QS=O(logn) and MS=O(n)."See full answer

    Coding
  • "In developing a marketing strategy, I begin with comprehensive market research to identify consumer trends, competition, and potential gaps. This includes using tools like Google Analytics to gather insights on customer preferences and behaviors. I then define clear goals for the campaign, such as brand awareness, lead generation, or customer acquisition, and set KPIs to measure success. For instance, during my time at Bahwan International with the Nissan brand, I analyzed customer segments and"

    Basant P. - "In developing a marketing strategy, I begin with comprehensive market research to identify consumer trends, competition, and potential gaps. This includes using tools like Google Analytics to gather insights on customer preferences and behaviors. I then define clear goals for the campaign, such as brand awareness, lead generation, or customer acquisition, and set KPIs to measure success. For instance, during my time at Bahwan International with the Nissan brand, I analyzed customer segments and"See full answer

    Marketing Manager
    Technical
    +1 more
  • Meta logoAsked at Meta 
    1 answer

    "As the lead for the AI & Data Science CoE, I was responsible for driving enterprise-wide AI strategy, including scaling GenAI adoption. One key situation was when we needed to operationalize GenAI across clinical and regulatory functions amid high ambiguity and compliance concerns. I took ownership by defining a prioritized AI portfolio, establishing a standardized GenAI architecture and governance framework, and aligning cross-functional teams with clear accountability. I also focused on capa"

    SRK - "As the lead for the AI & Data Science CoE, I was responsible for driving enterprise-wide AI strategy, including scaling GenAI adoption. One key situation was when we needed to operationalize GenAI across clinical and regulatory functions amid high ambiguity and compliance concerns. I took ownership by defining a prioritized AI portfolio, establishing a standardized GenAI architecture and governance framework, and aligning cross-functional teams with clear accountability. I also focused on capa"See full answer

    Software Engineer
    Behavioral
  • Blend logoAsked at Blend 
    1 answer

    "The critical data to forecast projects with greater accuracy are Remaining Estimated work, Customer needed date, Cost of Delay."

    VictorSage - "The critical data to forecast projects with greater accuracy are Remaining Estimated work, Customer needed date, Cost of Delay."See full answer

    Analytical
    Behavioral
  • Intercom logoAsked at Intercom 
    1 answer

    "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer. Unfortunately, there's no formula for technical questions, but some general tips are: Use analogies when you can Break your solution into clear, bite-size steps Don't be afraid to use examples to b"

    Exponent - "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer. Unfortunately, there's no formula for technical questions, but some general tips are: Use analogies when you can Break your solution into clear, bite-size steps Don't be afraid to use examples to b"See full answer

    Product Manager
    Analytical
  • Mobile.de logoAsked at Mobile.de 
    2 answers

    "DAU and MAU: The number of active users daily and monthly to gauge the content recommended on the home page. Bounce Rate: The percentage of users who navigate away from the site after viewing only the home page. Number of Signups: The number of users who signup after seeing the content on the homepage leading to lower CAC. "

    Medha A. - "DAU and MAU: The number of active users daily and monthly to gauge the content recommended on the home page. Bounce Rate: The percentage of users who navigate away from the site after viewing only the home page. Number of Signups: The number of users who signup after seeing the content on the homepage leading to lower CAC. "See full answer

    Product Manager
    Analytical
    +1 more
  • Google logoAsked at Google 
    2 answers

    "So Machine learning provides the ability to machines to learn patterns from large data. So applying the same when needed. So the type of algorithm depends on the requirement/use case or the data. For example, if we have data that is labeled and we need to do classification then we will go and perform logistic regression but if we want prediction instead of classification, then we will go and build a regression model. In case the data is not labeled, then we can go ahead and build a model usin"

    Anonymous Muskox - "So Machine learning provides the ability to machines to learn patterns from large data. So applying the same when needed. So the type of algorithm depends on the requirement/use case or the data. For example, if we have data that is labeled and we need to do classification then we will go and perform logistic regression but if we want prediction instead of classification, then we will go and build a regression model. In case the data is not labeled, then we can go ahead and build a model usin"See full answer

    Technical
  • Google logoAsked at Google 
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    Product Manager
    Product Design
    +1 more
  • Amazon logoAsked at Amazon 
    1 answer

    "This is an Improve a Product question. Let's first go over the Improve a Product formula: Ask clarifying questions Identify users, behaviors, and pain points State product goal Brainstorm small improvements Brainstorm bolder improvements Measure success Summarize Now, let's begin! Ask clarifying questions Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewer are on the same page"

    Exponent - "This is an Improve a Product question. Let's first go over the Improve a Product formula: Ask clarifying questions Identify users, behaviors, and pain points State product goal Brainstorm small improvements Brainstorm bolder improvements Measure success Summarize Now, let's begin! Ask clarifying questions Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewer are on the same page"See full answer

    Product Manager
    Analytical
    +1 more
  • Visa logoAsked at Visa 
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    Program Manager
    Behavioral
  • Workday logoAsked at Workday 
    1 answer

    "Designing a Pseudo Random Number Generator (PRNG) involves creating an algorithm that generates a sequence of numbers that appear random while being deterministic, meaning that the same sequence can be reproduced given the same initial conditions. Here's a basic outline of how you could design a PRNG: Define the seed: The PRNG algorithm requires a seed value to initialize the generator. The seed can be any value, such as a number provided by the user or obtained from system data like the curr"

    Takashi M. - "Designing a Pseudo Random Number Generator (PRNG) involves creating an algorithm that generates a sequence of numbers that appear random while being deterministic, meaning that the same sequence can be reproduced given the same initial conditions. Here's a basic outline of how you could design a PRNG: Define the seed: The PRNG algorithm requires a seed value to initialize the generator. The seed can be any value, such as a number provided by the user or obtained from system data like the curr"See full answer

    System Design
  • Disney logoAsked at Disney 
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    Product Manager
    Behavioral
  • 2 answers

    "Increase the Viewer count ; Simply the process of uploading videos > increasing the amount of videos on YouTube> increasing the amount of data the can be collected by creators > leading more viewers"

    Anonymous Starfish - "Increase the Viewer count ; Simply the process of uploading videos > increasing the amount of videos on YouTube> increasing the amount of data the can be collected by creators > leading more viewers"See full answer

    Product Manager
    Product Strategy
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