"Firstly, congratulations to both the interviewer and interviewee. This was a great learning experience
However, being a Full Stack engineer and I was having the following suggestions around the Data Model -
Driver & Approval can be two different tables
Approval & Document - Approval can be a tuple of (userid,documentid) - comments against a rejection (marks the document which triggers rejection)In this way we can capture the entire history of approval workflow (initiate/pending/appr"
Nilanjan D. - "Firstly, congratulations to both the interviewer and interviewee. This was a great learning experience
However, being a Full Stack engineer and I was having the following suggestions around the Data Model -
Driver & Approval can be two different tables
Approval & Document - Approval can be a tuple of (userid,documentid) - comments against a rejection (marks the document which triggers rejection)In this way we can capture the entire history of approval workflow (initiate/pending/appr"See full answer
"Clarify: I'm assuming that a workplace chat app is similar to something like Slack or Teams, which is a web app/mobile platform for employees to securely message each other directly or in a grouping (i.e. a channel). I'm also assuming that this workplace app is for a generic company, and not Microsoft or Salesforce.
Goals: Workplace apps serve a vital connective tissue within enterprises to allow employees to freely message one another and collaborate on projects. These services a"
William D. - "Clarify: I'm assuming that a workplace chat app is similar to something like Slack or Teams, which is a web app/mobile platform for employees to securely message each other directly or in a grouping (i.e. a channel). I'm also assuming that this workplace app is for a generic company, and not Microsoft or Salesforce.
Goals: Workplace apps serve a vital connective tissue within enterprises to allow employees to freely message one another and collaborate on projects. These services a"See full answer
"Clarifying Questions
What is meant by art-related product? Is it a product where art can be shared by creators and viewed by viewers? Yes
What is art? It can be painting, song, video creators etc.
Meta
Mission: To form a worldwide community
Goals:
Brings creators and viewers worldwide
To strengthen the Meta community
Strengths
Social network
Users
Creators (L, L, L)
Viewers (L, L, L)
User Journey
1."
Shiv C. - "Clarifying Questions
What is meant by art-related product? Is it a product where art can be shared by creators and viewed by viewers? Yes
What is art? It can be painting, song, video creators etc.
Meta
Mission: To form a worldwide community
Goals:
Brings creators and viewers worldwide
To strengthen the Meta community
Strengths
Social network
Users
Creators (L, L, L)
Viewers (L, L, L)
User Journey
1."See full answer
"Question for the community: have others experienced a situation where the interviewer really pushed for defining a success metric early on in the case before making too much progress on the case itself? If so, how did you handle?
How I approached the case:
I used the framework taught here on Exponent but have a question for the community.
At the beginning of the interview, I shared my steps - company goals, customer, painpoints, solutions, prioritize and if we had time, I'll explore some succ"
D P. - "Question for the community: have others experienced a situation where the interviewer really pushed for defining a success metric early on in the case before making too much progress on the case itself? If so, how did you handle?
How I approached the case:
I used the framework taught here on Exponent but have a question for the community.
At the beginning of the interview, I shared my steps - company goals, customer, painpoints, solutions, prioritize and if we had time, I'll explore some succ"See full answer
"Interesting question! Before we begin, I have a few clarifying questions:
Is this for Netflix the company, or a service from a startup or other company that caters towards kids with a netflix-like set of services? My assumption is this is a Netflix esque service, and not part of the broader Netflix product suite/company.
Why are we building this? Assumption is that we CEO identified opportunity for this product, and we want to acquire users and engage them.
By kids, do you mean"
William D. - "Interesting question! Before we begin, I have a few clarifying questions:
Is this for Netflix the company, or a service from a startup or other company that caters towards kids with a netflix-like set of services? My assumption is this is a Netflix esque service, and not part of the broader Netflix product suite/company.
Why are we building this? Assumption is that we CEO identified opportunity for this product, and we want to acquire users and engage them.
By kids, do you mean"See full answer
"After researching Glassdoor, I provided an in-depth answer that incorporated my interest in DB technologies, alignment with career objectives, and ability to make an impact from professional experience.
"
Dave F. - "After researching Glassdoor, I provided an in-depth answer that incorporated my interest in DB technologies, alignment with career objectives, and ability to make an impact from professional experience.
"See full answer
"Average case - lookup/insert/delete - o(1) -> assuming a low load factor and uniform hash distribution.
Worst case - o(n) -> where are keys collide in same bucket"
Kargi C. - "Average case - lookup/insert/delete - o(1) -> assuming a low load factor and uniform hash distribution.
Worst case - o(n) -> where are keys collide in same bucket"See full answer
"In the Transformer architecture, the decoder differs from the encoder primarily in its additional mechanisms designed to handle autoregressive sequence generation. Here's a breakdown of the key differences:
Self-Attention Mechanism:
Encoder: The encoder has a standard self-attention mechanism that allows each token to attend to all other tokens in the input sequence.
Decoder: The decoder has two types of self-attention. The first is the same as in the encoder, but the second is mas"
Ranj A. - "In the Transformer architecture, the decoder differs from the encoder primarily in its additional mechanisms designed to handle autoregressive sequence generation. Here's a breakdown of the key differences:
Self-Attention Mechanism:
Encoder: The encoder has a standard self-attention mechanism that allows each token to attend to all other tokens in the input sequence.
Decoder: The decoder has two types of self-attention. The first is the same as in the encoder, but the second is mas"See full answer
"Clarify:
Are we talking about traditional noise-cancelling which cancels noise for listeners or we are talking about the speaker side noise-cancellation? - Interviewer replied: Both
Are we exploring to build something on top of existing hardware around Meta VR products or something in general? - Interviewer replied: up to you.
High level though process (Could be detailed with more structure):
Considering Meta's vision on building metaverse, where meta currently has AR/VR products li"
Anonymous Shark - "Clarify:
Are we talking about traditional noise-cancelling which cancels noise for listeners or we are talking about the speaker side noise-cancellation? - Interviewer replied: Both
Are we exploring to build something on top of existing hardware around Meta VR products or something in general? - Interviewer replied: up to you.
High level though process (Could be detailed with more structure):
Considering Meta's vision on building metaverse, where meta currently has AR/VR products li"See full answer