Interview Questions

Review this list of 4,351 interview questions and answers verified by hiring managers and candidates.
  • Meta (Facebook) logoAsked at Meta (Facebook) 
    +3

    "Prioritizing competing features involves evaluating and comparing different features to determine which ones to implement first, based on their relative importance, value, and impact on the product and users. Here are some steps to help prioritize competing features: Define the goals and objectives: Identify the product's overall goals, target audience, and key performance indicators (KPIs). This will help you understand what features are most important to achieve these goals. **Gather"

    Shashank S. - "Prioritizing competing features involves evaluating and comparing different features to determine which ones to implement first, based on their relative importance, value, and impact on the product and users. Here are some steps to help prioritize competing features: Define the goals and objectives: Identify the product's overall goals, target audience, and key performance indicators (KPIs). This will help you understand what features are most important to achieve these goals. **Gather"See full answer

    Product Manager
    Behavioral
    +1 more
  • "CQs: Content moderation system finds Inappropriate contents - profanity, violence, privacy concerning. Misinformation - false info, false claim, fomenting wrong views PII Misinformation → Wrong info Twisted info Incomplete info Goal - reliability and trust on the platform Long term increased engagement on informational content RAG system - what and why? RAG system has 3 components Brain - reasoning models Tool"

    Sumit P. - "CQs: Content moderation system finds Inappropriate contents - profanity, violence, privacy concerning. Misinformation - false info, false claim, fomenting wrong views PII Misinformation → Wrong info Twisted info Incomplete info Goal - reliability and trust on the platform Long term increased engagement on informational content RAG system - what and why? RAG system has 3 components Brain - reasoning models Tool"See full answer

    Product Manager
    Artificial Intelligence
    +1 more
  • Perplexity AI logoAsked at Perplexity AI 
    +3

    "Since question asks about pipeline. I assume the question is about metrics across many dimensions not just prediction Model performance. For the ML Model: I can use accuracy, precision, recall, F1 if it is classification model. In case it is regression model RMSE is good metric for many problems. Data: ML system needs good quality data. The system has to track missing data rate. Distribution of features, if there is no drift from original feature distributions during the training. Pipeline h"

    Alex N. - "Since question asks about pipeline. I assume the question is about metrics across many dimensions not just prediction Model performance. For the ML Model: I can use accuracy, precision, recall, F1 if it is classification model. In case it is regression model RMSE is good metric for many problems. Data: ML system needs good quality data. The system has to track missing data rate. Distribution of features, if there is no drift from original feature distributions during the training. Pipeline h"See full answer

    Machine Learning Engineer
    Machine Learning
    +1 more
  • Amazon logoAsked at Amazon 

    "The below system design addresses the requirements for a scalable distributed onboarding service, focusing on robust data validation, asynchronous processing, real-time aggregation, and efficient querying of metadata. Core Principles: Asynchronous Processing: Decouple components to ensure high throughput and responsiveness. Scalability & Elasticity: Utilize technologies that can scale horizontally to handle varying loads. Data Durability & Integrity: Ensure no data l"

    Anonymous Mongoose - "The below system design addresses the requirements for a scalable distributed onboarding service, focusing on robust data validation, asynchronous processing, real-time aggregation, and efficient querying of metadata. Core Principles: Asynchronous Processing: Decouple components to ensure high throughput and responsiveness. Scalability & Elasticity: Utilize technologies that can scale horizontally to handle varying loads. Data Durability & Integrity: Ensure no data l"See full answer

    Software Engineer
    System Design
  • Meta (Facebook) logoAsked at Meta (Facebook) 
    Video answer for 'Design an evaluation framework for ads ranking.'
    +6

    "Designing an evaluation framework for ads ranking is crucial for optimizing the effectiveness and relevance of ads displayed to users. Here's a comprehensive framework that you can use: Define Objectives and Key Performance Indicators (KPIs):** \\Click-Through Rate (CTR):\\ The ratio of clicks to impressions, indicating the effectiveness of an ad in attracting user attention. \\Conversion Rate:\\ The ratio of conversions (e.g., sign-ups, purchases) to clicks, measuring how well"

    Ajay P. - "Designing an evaluation framework for ads ranking is crucial for optimizing the effectiveness and relevance of ads displayed to users. Here's a comprehensive framework that you can use: Define Objectives and Key Performance Indicators (KPIs):** \\Click-Through Rate (CTR):\\ The ratio of clicks to impressions, indicating the effectiveness of an ad in attracting user attention. \\Conversion Rate:\\ The ratio of conversions (e.g., sign-ups, purchases) to clicks, measuring how well"See full answer

    Machine Learning Engineer
    Machine Learning
    +3 more
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  • Meta (Facebook) logoAsked at Meta (Facebook) 

    "Discussed: Requirements of the system: latency language modality (assume keyboard typing) availability of data (assume cold start) success metric (accuracy of next word predicted?, or minimize false positives? -> accuracy to start) Data collection and processing: design ethical user experiments to collect typed out data design a simple tokenization strategy (word level encoding, character level encoding, byte-pair encodings, and discuss tradeoffs) collect data, and split"

    Adam L. - "Discussed: Requirements of the system: latency language modality (assume keyboard typing) availability of data (assume cold start) success metric (accuracy of next word predicted?, or minimize false positives? -> accuracy to start) Data collection and processing: design ethical user experiments to collect typed out data design a simple tokenization strategy (word level encoding, character level encoding, byte-pair encodings, and discuss tradeoffs) collect data, and split"See full answer

    Machine Learning Engineer
    System Design
  • Anthropic logoAsked at Anthropic 
    Product Manager
    Artificial Intelligence
    +1 more
  • Uber logoAsked at Uber 
    Software Engineer
    System Design
  • +8

    "Just a bit of context on what could be a risk in Product or Software Development. We talk about the Scope, Quality, and Time Triangle. IMHO the only variables that can matter and can pose risk are these. Try to form an answer where you used the Effort, Value, Risk framework to quantify the risk. The answer can be similar to short term sacrifices for long term gains, as you do take in mind the risk the short term sacrifices pose. Situation - I was leading the team to complete an overhaul of the"

    Umang S. - "Just a bit of context on what could be a risk in Product or Software Development. We talk about the Scope, Quality, and Time Triangle. IMHO the only variables that can matter and can pose risk are these. Try to form an answer where you used the Effort, Value, Risk framework to quantify the risk. The answer can be similar to short term sacrifices for long term gains, as you do take in mind the risk the short term sacrifices pose. Situation - I was leading the team to complete an overhaul of the"See full answer

    Product Manager
    Behavioral
    +1 more
  • Microsoft logoAsked at Microsoft 
    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Adobe logoAsked at Adobe 
    +33

    "Was this for an entry level engineer role?"

    Yeshwanth D. - "Was this for an entry level engineer role?"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • +8

    "Answer: select fromcaller, count(DISTINCT tocallee) as num_calls from calls group by fromcaller having count(DISTINCT tocallee) >= 3 Setup: CREATE TABLE calls ( from_caller VARCHAR(20), to_callee VARCHAR(20) ); INSERT INTO calls (fromcaller, tocallee) VALUES ('Alice', 'Bob'), ('Charlie', 'Dave'), ('Alice', 'Frank'), ('Charlie', 'Heidi'), ('Charlie', 'Judy'); "

    KAI - "Answer: select fromcaller, count(DISTINCT tocallee) as num_calls from calls group by fromcaller having count(DISTINCT tocallee) >= 3 Setup: CREATE TABLE calls ( from_caller VARCHAR(20), to_callee VARCHAR(20) ); INSERT INTO calls (fromcaller, tocallee) VALUES ('Alice', 'Bob'), ('Charlie', 'Dave'), ('Alice', 'Frank'), ('Charlie', 'Heidi'), ('Charlie', 'Judy'); "See full answer

    Data Scientist
    Coding
    +3 more
  • +11

    "I work at a startup that makes software for Law Enforcement and the FBI. Our product analyzes calls being made by prison inmates and "listens" for predictors of violence and criminal behavior. Our clients are some of the top state prisons in the country. Recently one of the largest states in the country decided to evaluate our product for their prison system. I demo'd the product to the officers and they seemed to like everything. During the presentation they asked us if the product was ADA com"

    Aabid S. - "I work at a startup that makes software for Law Enforcement and the FBI. Our product analyzes calls being made by prison inmates and "listens" for predictors of violence and criminal behavior. Our clients are some of the top state prisons in the country. Recently one of the largest states in the country decided to evaluate our product for their prison system. I demo'd the product to the officers and they seemed to like everything. During the presentation they asked us if the product was ADA com"See full answer

    Product Manager
    Behavioral
    +5 more
  • +27

    "Observation This is an interesting question. The solution has two heads, meaning that the user must feel less guilty AND the solution must also increase revenue towards the platform. Structure The way I would approach this involves splitting the question into sequential steps. Why are users feeling guilty about using Instagram? What are some ways to make them feel less guilty? How can we monetize this? Clarification How do we define guilt? Is there a relevant subsector of"

    Justin G. - "Observation This is an interesting question. The solution has two heads, meaning that the user must feel less guilty AND the solution must also increase revenue towards the platform. Structure The way I would approach this involves splitting the question into sequential steps. Why are users feeling guilty about using Instagram? What are some ways to make them feel less guilty? How can we monetize this? Clarification How do we define guilt? Is there a relevant subsector of"See full answer

    Product Manager
    Product Strategy
  • Software Engineer
    Behavioral
  • Google logoAsked at Google 
    +14

    "Okay, so before we start discussing how to design this platform, I have a few questions I need details on. Clarification Questions: What do you mean by "Podcasting Platform"? Producing a platform and releasing it online takes several steps (Ideation, scripting, equipment selection, recording, editing, choosing a platform to release, etc.). Are we looking at any specific step here? - Free to Assume Am I PM at Google designing a Podcast Platform as a tool inside existing Google Pro"

    Pranay N. - "Okay, so before we start discussing how to design this platform, I have a few questions I need details on. Clarification Questions: What do you mean by "Podcasting Platform"? Producing a platform and releasing it online takes several steps (Ideation, scripting, equipment selection, recording, editing, choosing a platform to release, etc.). Are we looking at any specific step here? - Free to Assume Am I PM at Google designing a Podcast Platform as a tool inside existing Google Pro"See full answer

    Product Manager
    Product Design
    +1 more
  • Amazon logoAsked at Amazon 
    Video answer for 'Design Instagram.'
    +52

    "Very well done."

    Vijay M. - "Very well done."See full answer

    Software Engineer
    Product Design
    +3 more
  • OpenAI logoAsked at OpenAI 
    Product Manager
    Artificial Intelligence
    +1 more
  • +37

    "Narrow down scope with clarifying questions: Confirm that Reactions are the like, love, sad and other icons that facebook users can respond with on your post. Understand the metric: is "down" ... absolute number or is it a ratio of reactions per post? Understand the boundary conditions: Is it specific to a certain region, certain segment of users (only from new users versus active users), happening on personal posts or group posts, happening on app versus desktop/mobile etc. Under"

    Praveen - "Narrow down scope with clarifying questions: Confirm that Reactions are the like, love, sad and other icons that facebook users can respond with on your post. Understand the metric: is "down" ... absolute number or is it a ratio of reactions per post? Understand the boundary conditions: Is it specific to a certain region, certain segment of users (only from new users versus active users), happening on personal posts or group posts, happening on app versus desktop/mobile etc. Under"See full answer

    Analytical
    Execution
  • Google logoAsked at Google 
    Video answer for 'Should Google enter the ridesharing market?'
    +52

    "In general, I don't think Google should go into ridesharing market at this point. (06/2020) I have 3 reasons why Google should not get into ridesharing business at this point and a exception. Reason 1: Current market With major players like Uber and Lyft occupying around 90% of the market, current ridesharing business market is already crowded. These companies have been around for 6-7 years and users already formed the user habit of using either Uber or Lyft when they need a car to go some"

    Yao X. - "In general, I don't think Google should go into ridesharing market at this point. (06/2020) I have 3 reasons why Google should not get into ridesharing business at this point and a exception. Reason 1: Current market With major players like Uber and Lyft occupying around 90% of the market, current ridesharing business market is already crowded. These companies have been around for 6-7 years and users already formed the user habit of using either Uber or Lyft when they need a car to go some"See full answer

    Product Strategy
Showing 61-80 of 4351