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Interview Questions

Review this list of 4,477 interview questions and answers verified by hiring managers and candidates.
  • Amazon logoAsked at Amazon 
    2 answers
    Video answer for 'What are common linear regression problems?'

    "I can try to summarize their discussion as I remembered. Linear regression is one of the method to predict target (Y) using features (X). Formula for linear regression is a linear function of features. The aim is to choose coefficients (Teta) of the prediction function in such a way that the difference between target and prediction is least in average. This difference between target and prediction is called loss function. The form of this loss function could be dependent from the particular real"

    Ilnur I. - "I can try to summarize their discussion as I remembered. Linear regression is one of the method to predict target (Y) using features (X). Formula for linear regression is a linear function of features. The aim is to choose coefficients (Teta) of the prediction function in such a way that the difference between target and prediction is least in average. This difference between target and prediction is called loss function. The form of this loss function could be dependent from the particular real"See full answer

    Data Scientist
    Analytical
    +2 more
  • Engineering Manager
    People Management
  • "/* You are with your friends in a castle, where there are multiple rooms named after flowers. Some of the rooms contain treasures - we call them the treasure rooms. Each room contains a single instruction that tells you which room to go to next. * instructions1 and treasurerooms_1 * lily* --------- daisy sunflower | | | v v v jasmin --> tulip* violet* ----> rose* --> ^ | ^ ^ | "

    Azeezat R. - "/* You are with your friends in a castle, where there are multiple rooms named after flowers. Some of the rooms contain treasures - we call them the treasure rooms. Each room contains a single instruction that tells you which room to go to next. * instructions1 and treasurerooms_1 * lily* --------- daisy sunflower | | | v v v jasmin --> tulip* violet* ----> rose* --> ^ | ^ ^ | "See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • "In the expected value of a coupon problem, you calculated variance of a binomial distribution, and used the satandard deviation, square root of variance, to calculate the confidence interval. Will that approach work the same here? For fair coin: (Heads = 0, tails = 1) Var = 10 * (.5)(1-.5) = 2.5 Stdev = Sqrt(2.5) = 1.581 Mean = 5 Z-score = (Observed Val - Mean) / Stdev = (10 - 5) / 1.581 = 3.164 P val = 0.0008% (Slightly different from the video's solution of 0.00097) Pros of this approach: It"

    Connor W. - "In the expected value of a coupon problem, you calculated variance of a binomial distribution, and used the satandard deviation, square root of variance, to calculate the confidence interval. Will that approach work the same here? For fair coin: (Heads = 0, tails = 1) Var = 10 * (.5)(1-.5) = 2.5 Stdev = Sqrt(2.5) = 1.581 Mean = 5 Z-score = (Observed Val - Mean) / Stdev = (10 - 5) / 1.581 = 3.164 P val = 0.0008% (Slightly different from the video's solution of 0.00097) Pros of this approach: It"See full answer

    Statistics & Experimentation
  • Apple logoAsked at Apple 
    1 answer

    "We have a list of documents. We want to build an index that maps keywords to documents containing them. Then, given a query keyword, we can efficiently retrieve all matching documents. docs = [ "Python is great for data science", "C++ is a powerful language", "Python supports OOP and functional programming", "Weather today is sunny", "Weather forecast shows rain" ]"

    Mridul J. - "We have a list of documents. We want to build an index that maps keywords to documents containing them. Then, given a query keyword, we can efficiently retrieve all matching documents. docs = [ "Python is great for data science", "C++ is a powerful language", "Python supports OOP and functional programming", "Weather today is sunny", "Weather forecast shows rain" ]"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +1 more
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  • Meta logoAsked at Meta 
    14 answers
    +11

    "How does team matching and Bootcamp work for PMs?"

    Mitchell K. - "How does team matching and Bootcamp work for PMs?"See full answer

  • 12 answers
    +9

    "Here is my implementation: select marketing_channel, AVG(purchasevalue) as avgpurchase_value from attribution group by marketing_channel order by avgpurchasevalue DESC ; There is no need to copy and past the line of code for calculating the average into order by, just Alias is enough because going by the order of execution in sql, Always, order by is executed after executing select clause."

    Maliki U. - "Here is my implementation: select marketing_channel, AVG(purchasevalue) as avgpurchase_value from attribution group by marketing_channel order by avgpurchasevalue DESC ; There is no need to copy and past the line of code for calculating the average into order by, just Alias is enough because going by the order of execution in sql, Always, order by is executed after executing select clause."See full answer

    Coding
    SQL
  • Adobe logoAsked at Adobe 
    Add answer
    Software Engineer
    Data Structures & Algorithms
    +4 more
  • " Not Setting up the right expectation with users so that they come prepared and plan for application. Users should be informed in advance about the document required, kind of questions they can expect and average time they are going to spend. Inform about the money too if there is an application fee. Too many questions where users are suppose to write paragraphs Seeking sensitive mandatory information Reality is different from expectation setting Too long to too much time consum"

    Mohammad shahid S. - " Not Setting up the right expectation with users so that they come prepared and plan for application. Users should be informed in advance about the document required, kind of questions they can expect and average time they are going to spend. Inform about the money too if there is an application fee. Too many questions where users are suppose to write paragraphs Seeking sensitive mandatory information Reality is different from expectation setting Too long to too much time consum"See full answer

    Product Analyst
    Analytical
    +1 more
  • Meta logoAsked at Meta 
    1 answer

    "Described a bug I found on an app designed for a specific make of tablet. In this sequence I described: The app the bug was found in The priority and severity of the bug That it was a regression to an existing working piece of functionality The hardware and the firmware on the device the bug occurred on The steps that led to me finding the bug and how it manifested itself Talked about how we debugged from the point of view of: Code Component Deployed application Comparison to"

    Hans - "Described a bug I found on an app designed for a specific make of tablet. In this sequence I described: The app the bug was found in The priority and severity of the bug That it was a regression to an existing working piece of functionality The hardware and the firmware on the device the bug occurred on The steps that led to me finding the bug and how it manifested itself Talked about how we debugged from the point of view of: Code Component Deployed application Comparison to"See full answer

    QA Engineer
    Analytical
    +1 more
  • Adobe logoAsked at Adobe 
    Add answer
    Data Engineer
    Data Structures & Algorithms
    +4 more
  • Meta logoAsked at Meta 
    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
    Product Design
  • Meta logoAsked at Meta 
    1 answer
    Video answer for 'What is a recently effective campaign you found?'

    "Additional of COVID disclaimers to COVID related reels in instagram has helped users to navigate the crisis effectively as well as get the facts addressed regarding the vaccine."

    U K. - "Additional of COVID disclaimers to COVID related reels in instagram has helped users to navigate the crisis effectively as well as get the facts addressed regarding the vaccine."See full answer

    Behavioral
  • Product Manager
    Artificial Intelligence
  • Meta logoAsked at Meta 
    3 answers

    "Product Understanding - Push notifications are pop up notifications received on the device (phone, tablet etc.) sent by various Meta apps whenever a new post has been made or a new message is received Clarifying Questions - Is is specific to one device? Is it specific to one product? Is it specific to one region? Is it specific to one OS? Is this as a result of changes to algorithm/UI? Existing or a new feature? Assumptions - KPI calculation will only be for users who h"

    Vishal S. - "Product Understanding - Push notifications are pop up notifications received on the device (phone, tablet etc.) sent by various Meta apps whenever a new post has been made or a new message is received Clarifying Questions - Is is specific to one device? Is it specific to one product? Is it specific to one region? Is it specific to one OS? Is this as a result of changes to algorithm/UI? Existing or a new feature? Assumptions - KPI calculation will only be for users who h"See full answer

    Product Manager
    Analytical
    +2 more
  • "Sales and Delivery app: Ask Clarifying questions: What all parts of the user journey does this app play a role in? All delivery notifications go through this app. Tesla while completing sales does ask its customer to download this app. Sales can be completely done through the app. Sales person at Tesla could be reached through app. App can be used to buy other peripherals for Tesla. Success Metrics: Revenue: \# of car sales completed through the delivery app. \# of peripheral"

    Anonymous Caribou - "Sales and Delivery app: Ask Clarifying questions: What all parts of the user journey does this app play a role in? All delivery notifications go through this app. Tesla while completing sales does ask its customer to download this app. Sales can be completely done through the app. Sales person at Tesla could be reached through app. App can be used to buy other peripherals for Tesla. Success Metrics: Revenue: \# of car sales completed through the delivery app. \# of peripheral"See full answer

    Product Manager
  • Google logoAsked at Google 
    Add answer
    Product Manager
    Behavioral
  • Google logoAsked at Google 
    2 answers

    "Assumptions: The question is for a PM working for a refrigerator startup company and for a domestic refrigerator (not industrial). The first model comes in the most commonly used form factor with fridge/freezer split, and it has standard cooling specifications. Target market is the US. The startup is for profit. Product goal: To make interacting with refrigerator easy, seamless and pleasurable for the blind. Target users and channel partners: Fully blind people between the ages o"

    Nr 9. - "Assumptions: The question is for a PM working for a refrigerator startup company and for a domestic refrigerator (not industrial). The first model comes in the most commonly used form factor with fridge/freezer split, and it has standard cooling specifications. Target market is the US. The startup is for profit. Product goal: To make interacting with refrigerator easy, seamless and pleasurable for the blind. Target users and channel partners: Fully blind people between the ages o"See full answer

    Product Manager
    Product Design
  • Meta logoAsked at Meta 
    1 answer

    "How would you increase the number of comments on groups?"

    rkk293 - "How would you increase the number of comments on groups?"See full answer

    Data Scientist
    Product Design
  • Meta logoAsked at Meta 
    1 answer

    "Merge Sort"

    Ankita G. - "Merge Sort"See full answer

    Data Engineer
    Data Structures & Algorithms
    +1 more
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