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Concept Interview Questions

Review this list of 167 Concept interview questions and answers verified by hiring managers and candidates.
  • Machine Learning Engineer
    Concept
    +1 more
  • Accenture logoAsked at Accenture 
    3 answers

    "NA"

    Gaddipati V. - "NA"See full answer

    Software Engineer
    Concept
    +1 more
  • Lyft logoAsked at Lyft 
    2 answers

    "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 
    Add answer
    Machine Learning Engineer
    Concept
  • Snap logoAsked at Snap 
    Add answer
    Machine Learning Engineer
    Concept
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    Video answer for 'How can we tell when a model needs to be refreshed?'
    Concept
    Machine Learning
  • Meta logoAsked at Meta 
    2 answers

    "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
  • Amazon logoAsked at Amazon 
    Add answer
    Machine Learning Engineer
    Concept
    +1 more
  • Nvidia logoAsked at Nvidia 
    1 answer

    "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
  • Microsoft logoAsked at Microsoft 
    2 answers

    "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
  • "Strength: simplicity + interpretability Weakness: rigidity (can’t model complexity well)"

    Dessalew A. - "Strength: simplicity + interpretability Weakness: rigidity (can’t model complexity well)"See full answer

    Concept
    Machine Learning
  • Machine Learning Engineer
    Concept
    +2 more
  • Scale AI logoAsked at Scale AI 
    1 answer

    "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"

    Shibin P. - "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"See full answer

    Machine Learning Engineer
    Concept
  • "No discussion around better initialization of weights like Xavier etc.?"

    Vips M. - "No discussion around better initialization of weights like Xavier etc.?"See full answer

    Concept
    Machine Learning
  • Meta logoAsked at Meta 
    1 answer

    "TCP and UDP are ways in which data is transferred over the internet. TCP needs to have a connection between the two hosts in order for data to be transferred, while UDP begin the transfer without waiting for a connection between the two hosts. This makes UDP faster, but not as reliable as TCP because there is a chance the data transfer wont happen in UDP due to the uncertainty of the connection. TCP is used where reliable data transfer is crucial e.g file transfers, email, web browsing and UDP"

    Musonda C. - "TCP and UDP are ways in which data is transferred over the internet. TCP needs to have a connection between the two hosts in order for data to be transferred, while UDP begin the transfer without waiting for a connection between the two hosts. This makes UDP faster, but not as reliable as TCP because there is a chance the data transfer wont happen in UDP due to the uncertainty of the connection. TCP is used where reliable data transfer is crucial e.g file transfers, email, web browsing and UDP"See full answer

    Product Manager
    Concept
    +1 more
  • JP Morgan Chase logoAsked at JP Morgan Chase 
    Add answer
    Machine Learning Engineer
    Concept
  • Apple logoAsked at Apple 
    Add answer
    Machine Learning Engineer
    Concept
  • Amazon logoAsked at Amazon 
    1 answer

    "DevOps Engineer Interview Questions for 3+ yrs experience candidate"

    Vishwanath K. - "DevOps Engineer Interview Questions for 3+ yrs experience candidate"See full answer

    Machine Learning Engineer
    Concept
  • Visa logoAsked at Visa 
    1 answer

    "An Object Oriented programming deals with data and members. An Object Oriented Programming consumes more memory. An OOPS Consist of bottom-up approach. An OOPS is more secure Than POP. POP. An POP deals with Functions. An POP is less secure compare to OOPS. An POP contains less memory. An POP doesnt contain acess Modifiers."

    Arun G. - "An Object Oriented programming deals with data and members. An Object Oriented Programming consumes more memory. An OOPS Consist of bottom-up approach. An OOPS is more secure Than POP. POP. An POP deals with Functions. An POP is less secure compare to OOPS. An POP contains less memory. An POP doesnt contain acess Modifiers."See full answer

    Software Engineer
    Concept
  • Cursor logoAsked at Cursor 
    Add answer
    Program Manager
    Concept
Showing 61-80 of 167
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