Interview Questions

Review this list of 4,217 interview questions and answers verified by hiring managers and candidates.
  • Lyft logoAsked at Lyft 
    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Apple logoAsked at Apple 

    "You should be able to identify this as a Measure Success question. These kinds of questions are used to test your analytical skills, as well as your ability to track project progress post-launch. Recall the strategy for tackling them methodically and thoroughly: Ask clarifying questions State the goal of the feature / product Behavior Mapping / UX Flow Mapping Provide criteria to prioritize metrics Prioritize metrics Summarize Let's begin! Ask cl"

    Exponent - "You should be able to identify this as a Measure Success question. These kinds of questions are used to test your analytical skills, as well as your ability to track project progress post-launch. Recall the strategy for tackling them methodically and thoroughly: Ask clarifying questions State the goal of the feature / product Behavior Mapping / UX Flow Mapping Provide criteria to prioritize metrics Prioritize metrics Summarize Let's begin! Ask cl"See full answer

    Product Manager
    Analytical
  • DoorDash logoAsked at DoorDash 

    "Clarifyig questons Why do we want to re-design the feature? are there any existing problem with the existing DM feature? -- you figure out Do we have any particular goal in mind which we want to achieve? related to Engagement, Session time etc? -- Think yourself When we say DMs, this includes P2P, Message to business, Message to an open account or you have something else in mind? -- Think yourself With that bieng said lets first understand what are the core use cases of the DM as a feature P"

    Shoaib H. - "Clarifyig questons Why do we want to re-design the feature? are there any existing problem with the existing DM feature? -- you figure out Do we have any particular goal in mind which we want to achieve? related to Engagement, Session time etc? -- Think yourself When we say DMs, this includes P2P, Message to business, Message to an open account or you have something else in mind? -- Think yourself With that bieng said lets first understand what are the core use cases of the DM as a feature P"See full answer

    Product Manager
    Product Design
  • "I would buy them all miniature ponies and create pony hubs throughout the city where they can scan in and rent a pony. The ponies have wings by the way."

    Christopher T. - "I would buy them all miniature ponies and create pony hubs throughout the city where they can scan in and rent a pony. The ponies have wings by the way."See full answer

    Product Manager
    Behavioral
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  • "By looking at QPS prolly! I mean that's the success metric for it after all, right? Maybe not, love to know your thoughts down below."

    Palak A. - "By looking at QPS prolly! I mean that's the success metric for it after all, right? Maybe not, love to know your thoughts down below."See full answer

    Product Manager
    Analytical
  • Amazon logoAsked at Amazon 

    "separate your application into three distinct layers: a Presentation Tier for the user interface, an Application Tier for business logic, and a Data Tier for data storage. Implement each tier using appropriate technologies, deploy them across different network segments for security, and configure communication protocols to allow for independent management and scaling."

    Teja G. - "separate your application into three distinct layers: a Presentation Tier for the user interface, an Application Tier for business logic, and a Data Tier for data storage. Implement each tier using appropriate technologies, deploy them across different network segments for security, and configure communication protocols to allow for independent management and scaling."See full answer

    Solutions Architect
    System Design
  • Nvidia logoAsked at Nvidia 

    "Clarifying When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes. Understanding of cloud computing first. I'll use some analogies: Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU. CPU and GPU are like your big calculators. You can buy a powerful CPU and GPU, but problems: It costs a lot to buy. It costs a lot to run. You don't need it 24-7. You are not a un"

    Darpan D. - "Clarifying When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes. Understanding of cloud computing first. I'll use some analogies: Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU. CPU and GPU are like your big calculators. You can buy a powerful CPU and GPU, but problems: It costs a lot to buy. It costs a lot to run. You don't need it 24-7. You are not a un"See full answer

    Product Manager
    Concept
    +3 more
  • Machine Learning Engineer
    Concept
  • Nvidia logoAsked at Nvidia 
    Product Manager
    Behavioral
    +1 more
  • Netflix logoAsked at Netflix 

    "CQs: Help? → any sort of help Customer support? On App guidance? Help for creators?developers? → no Currently it is FAQ based, predefined app guide for the new users, customer support for critical cases Any specific problem came out in research or want me to brainstorm → brainstorm Improve what? → CSAT - lagging metric, should not be only goal Time spent in on app help → key goal is reduce this No constraints Geo - US Users E"

    Sumit P. - "CQs: Help? → any sort of help Customer support? On App guidance? Help for creators?developers? → no Currently it is FAQ based, predefined app guide for the new users, customer support for critical cases Any specific problem came out in research or want me to brainstorm → brainstorm Improve what? → CSAT - lagging metric, should not be only goal Time spent in on app help → key goal is reduce this No constraints Geo - US Users E"See full answer

    Product Manager
    Product Design
  • Google logoAsked at Google 

    "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
    Product Design
  • Meta (Facebook) logoAsked at Meta (Facebook) 

    "This is a Design a Product question. For this, we'll want to follow the formula for success: Ask clarifying questions Identify user types, behaviors, and pain points State the goal and use cases List current solutions Improvements / net new solutions Evaluate and select solutions Measure Success Summarize Ask clarifying questions It's important to get clarity on anything unclear. Asking questions also helps us limit scope early on s"

    Exponent - "This is a Design a Product question. For this, we'll want to follow the formula for success: Ask clarifying questions Identify user types, behaviors, and pain points State the goal and use cases List current solutions Improvements / net new solutions Evaluate and select solutions Measure Success Summarize Ask clarifying questions It's important to get clarity on anything unclear. Asking questions also helps us limit scope early on s"See full answer

    Product Manager
    Product Design
  • Amazon logoAsked at Amazon 

    "This is another Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know. Recall the formula for Fermi problems: Ask clarifying questions Catalog what you know Make equation(s) Think about edge cases to add to equation **Breakdown components of your"

    Exponent - "This is another Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know. Recall the formula for Fermi problems: Ask clarifying questions Catalog what you know Make equation(s) Think about edge cases to add to equation **Breakdown components of your"See full answer

    Product Manager
    Estimation
  • "There are 2 questions popping into my mind: Should the 2nd job have to kick off at 12:30AM? Are there others depending on the 2nd job? If both answers are no, we may simply postpone the second job to allow sufficient time for the first one to complete. If they are yeses, we could let the 2nd job retry to a certain amount of times. Make sure that even reaching the maximum of retries won't delay or fail the following jobs."

    Anzhe M. - "There are 2 questions popping into my mind: Should the 2nd job have to kick off at 12:30AM? Are there others depending on the 2nd job? If both answers are no, we may simply postpone the second job to allow sufficient time for the first one to complete. If they are yeses, we could let the 2nd job retry to a certain amount of times. Make sure that even reaching the maximum of retries won't delay or fail the following jobs."See full answer

    Data Engineer
    Data Pipeline Design
  • "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
  • Reddit logoAsked at Reddit 
    Product Manager
    Behavioral
  • MasterClass logoAsked at MasterClass 
    Product Design
    Analytical
    +1 more
  • "The single forward slash xpath is called the absolute xpath. The double forward slash is called the relative xpath. The double forward slash xpaths are the most preferrable ones as it directly points to the object by its name, id, label etc."

    Santhiya V. - "The single forward slash xpath is called the absolute xpath. The double forward slash is called the relative xpath. The double forward slash xpaths are the most preferrable ones as it directly points to the object by its name, id, label etc."See full answer

    Test Engineer
    Technical
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