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Interview Questions

Review this list of 4,477 interview questions and answers verified by hiring managers and candidates.
  • Google logoAsked at Google 
    3 answers

    "Clarifying question: just want to make sure that I'm designing the right product, are you referring to ATM as in a machine that takes in a debit or credit card and dispenses cash? Also, is there any location restriction for where the machine is located at London Heathrow Airport, eg. departure hall after security or arrival hall before exiting baggage claim? These could potentially impact the use case. (Assume interviewer answers yes for first and no for second) Approach: Identify or segment"

    Anonymous Sparrow - "Clarifying question: just want to make sure that I'm designing the right product, are you referring to ATM as in a machine that takes in a debit or credit card and dispenses cash? Also, is there any location restriction for where the machine is located at London Heathrow Airport, eg. departure hall after security or arrival hall before exiting baggage claim? These could potentially impact the use case. (Assume interviewer answers yes for first and no for second) Approach: Identify or segment"See full answer

    Product Manager
    Product Design
  • Google logoAsked at Google 
    1 answer

    "As a direct competitor to my favorite product, our mission is to enhance productivity for creative professionals. Targeting small design agencies, our solution offers a streamlined project management platform tailored to their specific needs. Launch feasibility relies on user feedback, ensuring impact and monetization through subscription-based pricing. Success metrics include user engagement and retention rates."

    Devendra B. - "As a direct competitor to my favorite product, our mission is to enhance productivity for creative professionals. Targeting small design agencies, our solution offers a streamlined project management platform tailored to their specific needs. Launch feasibility relies on user feedback, ensuring impact and monetization through subscription-based pricing. Success metrics include user engagement and retention rates."See full answer

    Product Manager
    Product Design
  • Google logoAsked at Google 
    15 answers
    +12

    "Clarifying question: why would Google consider sunsetting Gmail? Is there an opportunity to make a case against sunsetting or has the executive decision already been made and we're truly looking for a flawless sunset? If decision has already been made - why? Is this a global decision or country-specific? If the answer from interviewer is that the decision is open to debate, pivot case toward identifying the problem that causes leadership to even consider sunset. Then analyze and propose ways to"

    Anonymous Sparrow - "Clarifying question: why would Google consider sunsetting Gmail? Is there an opportunity to make a case against sunsetting or has the executive decision already been made and we're truly looking for a flawless sunset? If decision has already been made - why? Is this a global decision or country-specific? If the answer from interviewer is that the decision is open to debate, pivot case toward identifying the problem that causes leadership to even consider sunset. Then analyze and propose ways to"See full answer

    Product Manager
    Product Strategy
  • "I would recreate the issue from my side to land at the 404 error and check which page has issues with retrieving the information. Booking.com has a lot of features and workflows inside the product, so I would see how many users use this flow which gives back this error and try to get the metrics to know the criticality of the issue. I would talk to the engineering team to look into this and discuss to set a deadline for the fix based on the criticality. Since the sales team reported this iss"

    Nirmmall K. - "I would recreate the issue from my side to land at the 404 error and check which page has issues with retrieving the information. Booking.com has a lot of features and workflows inside the product, so I would see how many users use this flow which gives back this error and try to get the metrics to know the criticality of the issue. I would talk to the engineering team to look into this and discuss to set a deadline for the fix based on the criticality. Since the sales team reported this iss"See full answer

    Product Manager
    Analytical
  • "I would go look in the mirror and ask that person why the legal team is only flagging issues a week ahead of launch date. Did I not engage our legal team way in advance at the conception stage? Did I not follow up or collaborated with my program manager to follow up shortly with the legal team to check their progress of evaluating issues? If I did not do these things, it is on me. Let's assume I did do those things, but the legal team needed a lot of time to evaluate or get external opinion, th"

    Anonymous Sparrow - "I would go look in the mirror and ask that person why the legal team is only flagging issues a week ahead of launch date. Did I not engage our legal team way in advance at the conception stage? Did I not follow up or collaborated with my program manager to follow up shortly with the legal team to check their progress of evaluating issues? If I did not do these things, it is on me. Let's assume I did do those things, but the legal team needed a lot of time to evaluate or get external opinion, th"See full answer

    Product Manager
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  • Meta logoAsked at Meta 
    Add answer
    Machine Learning Engineer
    Concept
  • Netflix logoAsked at Netflix 
    1 answer

    "TF-IDF CONCEPT EXPLANATION AND INTUITION BUILDING: TF-IDF is a measure that reflects the importance of a word in the document relative to a collection of documents. Its full form is Term Frequency - Inverse Document Frequency. The term TF indicates how often a term occurs in a particular document. It is the ratio of count of a particular term in a document to the number of terms in that particular document. So, the intuition is that if a term occurs frequently in a single documen"

    Satyam C. - "TF-IDF CONCEPT EXPLANATION AND INTUITION BUILDING: TF-IDF is a measure that reflects the importance of a word in the document relative to a collection of documents. Its full form is Term Frequency - Inverse Document Frequency. The term TF indicates how often a term occurs in a particular document. It is the ratio of count of a particular term in a document to the number of terms in that particular document. So, the intuition is that if a term occurs frequently in a single documen"See full answer

    Machine Learning Engineer
    Concept
  • Google logoAsked at Google 
    2 answers

    "Yes, I need to compare the first half of the first string with the reverse order of the second half of the second string. Repeat this process to the first half of the second string and the second half of the first string."

    Anonymous Condor - "Yes, I need to compare the first half of the first string with the reverse order of the second half of the second string. Repeat this process to the first half of the second string and the second half of the first string."See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +1 more
  • Google logoAsked at Google 
    4 answers
    +1

    "You can ask some clarifying questions like 1) Ask if the list is already sorted or not 2) is zero included in the list ? 3) Natural numbers are usually positive numbers ( clarify they are non negatives) Solution : 1) If sorted use two pointers and sort them in O(N) 2) if not sorted , -ve / only +ve numbers in the list doesn't matter - the easiest solution is Use a priority queue and push the number and its square in each iteration Finally return the list returned by the priority Queue. N"

    Bless M. - "You can ask some clarifying questions like 1) Ask if the list is already sorted or not 2) is zero included in the list ? 3) Natural numbers are usually positive numbers ( clarify they are non negatives) Solution : 1) If sorted use two pointers and sort them in O(N) 2) if not sorted , -ve / only +ve numbers in the list doesn't matter - the easiest solution is Use a priority queue and push the number and its square in each iteration Finally return the list returned by the priority Queue. N"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +1 more
  • Google logoAsked at Google 
    9 answers
    +6

    " import java.util.*; class Solution { static int leastInterval(char[] tasks, int n) { if (tasks.length == 0) return 0; // as the number of characters are 26 defining an array of 26 and incrementing // the defined array int[] count = new int[26]; for (int i = 0; i<tasks.length; i++){ count[tasks[i] -'A']++; } Arrays.sort(count); int maxFreq = count[25]; int idle = (maxFreq - 1) * n; "

    Sailaja R. - " import java.util.*; class Solution { static int leastInterval(char[] tasks, int n) { if (tasks.length == 0) return 0; // as the number of characters are 26 defining an array of 26 and incrementing // the defined array int[] count = new int[26]; for (int i = 0; i<tasks.length; i++){ count[tasks[i] -'A']++; } Arrays.sort(count); int maxFreq = count[25]; int idle = (maxFreq - 1) * n; "See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Google logoAsked at Google 
    2 answers

    "untuk mengurutkan daftar angka secara efisien saya akan menggunakan aplikasi pengolah angka yaitu excel dengan rumus rumus untuk mempermudah dan mempercepat pengurutan daftar angka"

    Isnadea soraya R. - "untuk mengurutkan daftar angka secara efisien saya akan menggunakan aplikasi pengolah angka yaitu excel dengan rumus rumus untuk mempermudah dan mempercepat pengurutan daftar angka"See full answer

    Machine Learning Engineer
    Analytical
  • Google logoAsked at Google 
    Add answer
    Machine Learning Engineer
    Data Structures & Algorithms
    +1 more
  • Google logoAsked at Google 
    Add answer
    Machine Learning Engineer
    Behavioral
  • Google logoAsked at Google 
    Add answer
    Machine Learning Engineer
    System Design
  • Google logoAsked at Google 
    2 answers

    "Back in the day, my grandma was like a walking encyclopedia. Whether we were strolling in the park or chilling at a picnic, she'd point out every pigeon, golden retriever, and grape in sight & help me learn stuff. But let's be real, it took me a few tries to get those correct. And more than once, I confused a golden retriever for a labrador Computers are just like us. You show them a bunch of examples, they make some mistakes, and then you give them a little feedback in the right direction. Be"

    Adarsh R. - "Back in the day, my grandma was like a walking encyclopedia. Whether we were strolling in the park or chilling at a picnic, she'd point out every pigeon, golden retriever, and grape in sight & help me learn stuff. But let's be real, it took me a few tries to get those correct. And more than once, I confused a golden retriever for a labrador Computers are just like us. You show them a bunch of examples, they make some mistakes, and then you give them a little feedback in the right direction. Be"See full answer

    Machine Learning Engineer
    Concept
  • Google logoAsked at Google 
    1 answer

    "I went to Indeed.com and research the Hampton Inn job."

    Amparo L. - "I went to Indeed.com and research the Hampton Inn job."See full answer

    Machine Learning Engineer
    Behavioral
  • Google logoAsked at Google 
    2 answers

    "i use google frequently, but most of the time i use for syntax and terms which i dont undestand, google is my go to guy."

    Ankit R. - "i use google frequently, but most of the time i use for syntax and terms which i dont undestand, google is my go to guy."See full answer

    Machine Learning Engineer
    Behavioral
  • DoorDash logoAsked at DoorDash 
    Add answer
    Machine Learning Engineer
    Behavioral
  • Amazon logoAsked at Amazon 
    4 answers
    +1

    "in simple words, linear regression helps in predicting the value whereas logistics regression helps in predicting the binary classification. But lets talk through some example Linear regression model: E-commerce website pricing recommendation engine is built on linear regression model where we do have some variables such as competitor price, internal economics and consumer demand etc when we put this in a supervised learning model, it helps in predicting prices Logistics regression model"

    Anonymous Aardvark - "in simple words, linear regression helps in predicting the value whereas logistics regression helps in predicting the binary classification. But lets talk through some example Linear regression model: E-commerce website pricing recommendation engine is built on linear regression model where we do have some variables such as competitor price, internal economics and consumer demand etc when we put this in a supervised learning model, it helps in predicting prices Logistics regression model"See full answer

    Machine Learning Engineer
    Concept
    +1 more
  • Amazon logoAsked at Amazon 
    2 answers

    "The plan to deliver 200 packages in 8 hr needs to be developed keeping a few considerations in perspective 1 - Total distance a driver can reasonably travel in an 8 hr window while delivering goods 2- what is the max average distance or time in between two points of delivery to help the driver achieve the goals 3- Traffic / weather / unforeseen situation may prevent the driver from not meeting their goal Lets assume the delivery driver travels at the speed of 35m/hr and , would travel 280 m"

    Saurabh G. - "The plan to deliver 200 packages in 8 hr needs to be developed keeping a few considerations in perspective 1 - Total distance a driver can reasonably travel in an 8 hr window while delivering goods 2- what is the max average distance or time in between two points of delivery to help the driver achieve the goals 3- Traffic / weather / unforeseen situation may prevent the driver from not meeting their goal Lets assume the delivery driver travels at the speed of 35m/hr and , would travel 280 m"See full answer

    Product Manager
    Program Sense
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