Concept Interview Questions

Review this list of 151 concept interview questions and answers verified by hiring managers and candidates.
  • Amazon logoAsked at Amazon 
    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
    Concept
    +2 more
  • Apple logoAsked at Apple 

    "Hey Grandma, you've had a lot of experience with infants, haven't you? When they were babies, you taught them how to chew in their first six months. This initial phase is like giving them data. Once they learned how to chew, they could handle any food you gave them. Next, you refined their learning by teaching them that they should only chew on food. This is like refining the data so they understand what is relevant. Then, a few months later, they started crawling and walking, learning by observ"

    Hari priya K. - "Hey Grandma, you've had a lot of experience with infants, haven't you? When they were babies, you taught them how to chew in their first six months. This initial phase is like giving them data. Once they learned how to chew, they could handle any food you gave them. Next, you refined their learning by teaching them that they should only chew on food. This is like refining the data so they understand what is relevant. Then, a few months later, they started crawling and walking, learning by observ"See full answer

    Machine Learning Engineer
    Concept
  • Google logoAsked at Google 

    "Clarification questions What is the purpose of connecting the DB? Do we expect high-volumes of traffic to hit the DB Do we have scalability or reliability concerns? Format Code -> DB Code -> Cache -> DB API -> Cache -> DB - APIs are built for a purpose and have a specified protocol (GET, POST, DELETE) to speak to the DB. APIs can also use a contract to retrieve information from a DB much faster than code. Load balanced APIs -> Cache -> DB **Aut"

    Aaron W. - "Clarification questions What is the purpose of connecting the DB? Do we expect high-volumes of traffic to hit the DB Do we have scalability or reliability concerns? Format Code -> DB Code -> Cache -> DB API -> Cache -> DB - APIs are built for a purpose and have a specified protocol (GET, POST, DELETE) to speak to the DB. APIs can also use a contract to retrieve information from a DB much faster than code. Load balanced APIs -> Cache -> DB **Aut"See full answer

    Product Manager
    Concept
    +5 more
  • Yahoo logoAsked at Yahoo 

    "Open Oriented programming is a way to organize code around objects rather then functions."

    Yasir M. - "Open Oriented programming is a way to organize code around objects rather then functions."See full answer

    Software Engineer
    Concept
  • Google logoAsked at Google 

    "Grandma! You know how we can look at a picture and know what's in it—like seeing a cat or a dog? Computers can learn to do that too! It's just they use special tricks and math to see and understand pictures or videos. It helps them figure out what's in the pictures, almost like how we do! Almost like giving it eyes to see the world in its own way!"

    Praveen D. - "Grandma! You know how we can look at a picture and know what's in it—like seeing a cat or a dog? Computers can learn to do that too! It's just they use special tricks and math to see and understand pictures or videos. It helps them figure out what's in the pictures, almost like how we do! Almost like giving it eyes to see the world in its own way!"See full answer

    Machine Learning Engineer
    Concept
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  • Snap logoAsked at Snap 
    Machine Learning Engineer
    Concept
  • Machine Learning Engineer
    Concept
    +1 more
  • "I did not give the proper ans so gettting rejected"

    Praveen K. - "I did not give the proper ans so gettting rejected"See full answer

    Software Engineer
    Concept
  • Machine Learning Engineer
    Concept
    +2 more
  • 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
    +1 more
  • Lyft logoAsked at Lyft 

    "Potential ad creators: Brands Drivers Travel services. Goal: To create a revenue stream. Acquire new users? To potentially develop new products? For now, lets focus on generating revenue as the goal. Potential ad products: Ads from brands you can watch while you are riding. Most riders dont look at the app while riding but we can provide them incentives like 5% off next ride if they watch ads the whole ride and pay it via ad revenue. Drivers can pay Lyft to be matched more w"

    M N. - "Potential ad creators: Brands Drivers Travel services. Goal: To create a revenue stream. Acquire new users? To potentially develop new products? For now, lets focus on generating revenue as the goal. Potential ad products: Ads from brands you can watch while you are riding. Most riders dont look at the app while riding but we can provide them incentives like 5% off next ride if they watch ads the whole ride and pay it via ad revenue. Drivers can pay Lyft to be matched more w"See full answer

    Concept
    Product Design
  • Apple logoAsked at Apple 
    Machine Learning Engineer
    Concept
  • +1

    "https://www.freecodecamp.org/news/what-happens-when-you-hit-url-in-your-browser/"

    Kanika - "https://www.freecodecamp.org/news/what-happens-when-you-hit-url-in-your-browser/"See full answer

    Product Manager
    Concept
    +2 more
  • Microsoft logoAsked at Microsoft 

    "BERT - bidirectional encoder representations from transformer. For example:- it takes an entire sentence as input at once and understands the meaning of the words in that sentence and calculate the relations of words with each other irrespective of their positions from the original word to understand the meaning of the word using neighboring words. BERT model is a pre trained transformer model which can be fine-tuned for our purposes. It is used for tasks such sentimental analysis, question answ"

    Bhavya V. - "BERT - bidirectional encoder representations from transformer. For example:- it takes an entire sentence as input at once and understands the meaning of the words in that sentence and calculate the relations of words with each other irrespective of their positions from the original word to understand the meaning of the word using neighboring words. BERT model is a pre trained transformer model which can be fine-tuned for our purposes. It is used for tasks such sentimental analysis, question answ"See full answer

    Machine Learning Engineer
    Concept
  • Amazon logoAsked at Amazon 
    Machine Learning Engineer
    Concept
    +1 more
  • Meta (Facebook) logoAsked at Meta (Facebook) 

    "Clarification Am I the PM for overall Xbox or certain part of the Xbox team? Interview (I): let's assume you own the overall Xbox product Are there particular user segments that the MSFT Gaming division is trying to focus on as their strategy? I: nothing in particular, why don't you tell me where we should focus? What are some challenges that Xbox have been facing? (ie revenue from xbox hardware purchase? xbox live subscription purchase? engagement?) I: nothing in pa"

    Mark - "Clarification Am I the PM for overall Xbox or certain part of the Xbox team? Interview (I): let's assume you own the overall Xbox product Are there particular user segments that the MSFT Gaming division is trying to focus on as their strategy? I: nothing in particular, why don't you tell me where we should focus? What are some challenges that Xbox have been facing? (ie revenue from xbox hardware purchase? xbox live subscription purchase? engagement?) I: nothing in pa"See full answer

    Concept
    Analytical
    +1 more
Showing 41-60 of 151