"Understood the problem statement by confirming details with interviewer.
Approached by listing down all the basic features being provided by the platform.
Platform -> Organizations can register themselves. One org can have more than one recruiters. Recruiters create jobs on the org portal. Candidate can apply to the jobs. Recruiters can accept and reject the applications.
Categorized 4 parent tables by taking hints in between. The tables were USER -> ID, Name, Phone No, mail ID, Profile Des.("
Jaya S. - "Understood the problem statement by confirming details with interviewer.
Approached by listing down all the basic features being provided by the platform.
Platform -> Organizations can register themselves. One org can have more than one recruiters. Recruiters create jobs on the org portal. Candidate can apply to the jobs. Recruiters can accept and reject the applications.
Categorized 4 parent tables by taking hints in between. The tables were USER -> ID, Name, Phone No, mail ID, Profile Des.("See full answer
"Searching for podcasts over topics is quite easy nowadays. However, usually we either don't find any podcasts interesting enough or are overwhelmed with choice. What really indicates what podcast we want to listen to at the moment is our mood, energy level etc. Additionally, we typically have some requirements, like being on the train and having one hour to spend, or only a five-minute interval while preparing breakfast. As such, I want an interface that lets me search for length. I want my"
Jonas P. - "Searching for podcasts over topics is quite easy nowadays. However, usually we either don't find any podcasts interesting enough or are overwhelmed with choice. What really indicates what podcast we want to listen to at the moment is our mood, energy level etc. Additionally, we typically have some requirements, like being on the train and having one hour to spend, or only a five-minute interval while preparing breakfast. As such, I want an interface that lets me search for length. I want my"See full answer
"Clarify the ask/ goal and scope
Talk about the general need for travel in a Covid/post covid world + how it aligns with Meta's mission and business (the Why)
Audience /Behavior segmentation with needs/pain points
Prioritize
Suggested 3 Solution territories
Dived deep into 1 and mentioned tradeoffs/ risks for that one
Summarized with a few GTM considerations/ideas
Please note: Although the interview was scoped for 30 mins, the interviewer spent the first 15 diving into past work e"
Raina M. - "Clarify the ask/ goal and scope
Talk about the general need for travel in a Covid/post covid world + how it aligns with Meta's mission and business (the Why)
Audience /Behavior segmentation with needs/pain points
Prioritize
Suggested 3 Solution territories
Dived deep into 1 and mentioned tradeoffs/ risks for that one
Summarized with a few GTM considerations/ideas
Please note: Although the interview was scoped for 30 mins, the interviewer spent the first 15 diving into past work e"See full answer
Product Manager
System Design
+1 more
🧠Want an expert answer to a question? Saving questions lets us know what content to make next.
"Created a solution for remote online learning app on the lines of coursera and also made a option for live streaming classes . Uni admin creates uni account, courses, adds instructors; instructors can create content , give classes ; student searches, enrols, consumes content. Used micro services architecture with APIs for all functions, RDBMS, NoSQL , indexed with redis and elastic."
Sneha D. - "Created a solution for remote online learning app on the lines of coursera and also made a option for live streaming classes . Uni admin creates uni account, courses, adds instructors; instructors can create content , give classes ; student searches, enrols, consumes content. Used micro services architecture with APIs for all functions, RDBMS, NoSQL , indexed with redis and elastic."See full answer
"Clarifying questions:
What's Lyft current goal and how does this new focus on Deaf drivers align with Lyft's goal & strategy?
Do Lyft already have service/product to enable deaf users to drive for lyft?
Assume
We don't have any existing product/service to allow deaf users to drive for Lyft today
We are designing for the ridesharing business and that the Deaf drivers can drive for all types of Lyft rideshare options
Lyft's Mission: Improve people's lives w/ the world's best transport"
Mark - "Clarifying questions:
What's Lyft current goal and how does this new focus on Deaf drivers align with Lyft's goal & strategy?
Do Lyft already have service/product to enable deaf users to drive for lyft?
Assume
We don't have any existing product/service to allow deaf users to drive for Lyft today
We are designing for the ridesharing business and that the Deaf drivers can drive for all types of Lyft rideshare options
Lyft's Mission: Improve people's lives w/ the world's best transport"See full answer
"This one is a great example of Build, Borrow, or Buy strategy framework (http://www.build-borrow-buy.com/build-borrow-or-buy-in-practice/) - explore and evaluate three different approaches: organic growth and building a product from scratch (e.g. Amazon building its own Amazon Restaurants service), partnering with an existing provider (e.g. enterprise-level partnership with Instacart or Lyft), or acquisition growth (e.g. Uber acquiring Postmates).
Evaluate which approach makes sense for the com"
Xash C. - "This one is a great example of Build, Borrow, or Buy strategy framework (http://www.build-borrow-buy.com/build-borrow-or-buy-in-practice/) - explore and evaluate three different approaches: organic growth and building a product from scratch (e.g. Amazon building its own Amazon Restaurants service), partnering with an existing provider (e.g. enterprise-level partnership with Instacart or Lyft), or acquisition growth (e.g. Uber acquiring Postmates).
Evaluate which approach makes sense for the com"See full answer
"I've worked on projects not quite like this, but very similar, in the past - I'll borrow from that to answer this:
The Broader Context
this problem doesn't specify the type of data we're working with, or how it's being ingested
to align with my personal background, I'll assume a picture that lends this problem well to being a computer vision (abbreviated "CV") related question:
let's say we have a conveyor belt in a waste facility, which sequentially carries a stream of waste
w"
Zain R. - "I've worked on projects not quite like this, but very similar, in the past - I'll borrow from that to answer this:
The Broader Context
this problem doesn't specify the type of data we're working with, or how it's being ingested
to align with my personal background, I'll assume a picture that lends this problem well to being a computer vision (abbreviated "CV") related question:
let's say we have a conveyor belt in a waste facility, which sequentially carries a stream of waste
w"See full answer
"I gave multiple answers including polling the service every 10 sec to see customer. Or we can have the client side call which will send this data after 10 sec to us. We will store in dynamo DB and then send through pipelines to redshift DB for analytics."
Deepti K. - "I gave multiple answers including polling the service every 10 sec to see customer. Or we can have the client side call which will send this data after 10 sec to us. We will store in dynamo DB and then send through pipelines to redshift DB for analytics."See full answer
"To handle the non-uniform sampling, I'd first clean and divide the dataset into chunks of n second interval 'uniform' trajectory data(e.g. 5s or 10s trajectories). This gives us a cleaner trajectory data chunks, T, of format (ship_ID, x, y, z, timestamp) to be formed.
For the system itself, I'd use a generative model, e.g. Variational AutoEncoder (VAE), and train the model's 'encoder' to produce a latent-space representation of input features (x,y,z,timestamp) from T, and it's 'decoder' to pred"
Anonymous Hornet - "To handle the non-uniform sampling, I'd first clean and divide the dataset into chunks of n second interval 'uniform' trajectory data(e.g. 5s or 10s trajectories). This gives us a cleaner trajectory data chunks, T, of format (ship_ID, x, y, z, timestamp) to be formed.
For the system itself, I'd use a generative model, e.g. Variational AutoEncoder (VAE), and train the model's 'encoder' to produce a latent-space representation of input features (x,y,z,timestamp) from T, and it's 'decoder' to pred"See full answer
"Structure
Why should we build this? + market, company, product, trends
Users
Painpoints
Solutions
Summary
Clarify
company - 0 to 1
Why should build this
Market factors
Size and opportunity (tam)
sizeable market - billions of dollars in TAM
Competitors
(1) governments (2) parkmobile (3) vendors for each parking lot (parking structures / lots, man people)
Strengths
Parkmobile - available anywh"
Karthik M. - "Structure
Why should we build this? + market, company, product, trends
Users
Painpoints
Solutions
Summary
Clarify
company - 0 to 1
Why should build this
Market factors
Size and opportunity (tam)
sizeable market - billions of dollars in TAM
Competitors
(1) governments (2) parkmobile (3) vendors for each parking lot (parking structures / lots, man people)
Strengths
Parkmobile - available anywh"See full answer