Interview Questions

Inraathp R. - "Clarify : "Movie watching” can happen in a Theatre On a cable TV via an OTT app, A dedicated home-theatre set-up. I will focus on OTT streaming on a Smart-TV because: It is the fastest-growing surface (70 % of long-form streaming minutes). Geography: USA Platform : Any (Android TV, Tizen etc) OTT: Netflix What are we trying to improve ? Basic Journey -->Switch on TV->Navigate to OTT->Find Movie->Play Movie->Consume Audio and Video Setup Journey -> Create account -> Setu"See full answer

Arista V. - "Assumption: Considering the launch of a product r a service based company in a new market: 1) Need of the product / service - consumer needs 2) Presence of competitor and their market share 3) Consumer behaviour - can this be changed if such need doesn't exist explicitly( ex: ride hailing) 4) Existing price of the product 5) Marketing spend to launch in that market and opportunity to make revenue"See full answer

Shivani N. - "did well but messed up dequeue"See full answer

Anonymous Porcupine - "https://www.geeksforgeeks.org/find-local-minima-array/ I coded O(N) but after that gave a binary approach aswell. After that he also gave a varient of this problem in which, local minima means that the number is strictly less than its adjacent (we cannot do binary search there sample test case [1,1,1,1,1,1,0,1] or [1,0,1,1,1,1,1,1] using mid we cannot determine if the minima is on left or right). we have to do a linear search or find recursively."See full answer

Darpan D. - "Clarifying and Assumptions Is there any specific geography we need to restrict to? Assumption: Total worldwide. Is there any specific segment we need to restrict to? Assumption: All segments. Number of users Total worldwide users: 300,000,000 Storage per user Slice the users into 3 segments. Low users 80% Free tier 2 GB per user available Using the 80-20 rule for segmentation. Medium users 10% Basic paid tier 2 TB per user available Usi"See full answer

Maryam G. - "At one of my project, I worked on a project where we needed to collect data from different sections of a large factory and deliver it to a third-party company responsible for predictive analytics on product quality and production levels. The challenge was that each department had different data types and structures, and in many cases, direct connections were restricted due to strict security policies. My responsibility was to design and implement a solution that could gather all these heterogene"See full answer

Caleb S. - " import pandas as pd def findimprovingstudents(transcript: pd.DataFrame) -> pd.DataFrame: summary = transcript.pivottable(index='studentid', values = 'yearlygpa', aggfunc = 'sum',columns = 'year').resetindex() summary['average_gpa'] = round((summary[2023] + summary[2022] + summary[2021])/3,2) return summary(summary[2023] > summary[2022]) & (summary[2022] > summary[2021])] #yn > yn-1, yn-1 > yn-2, yn-3 debug your co"See full answer

Chao peter Y. - "The question is incomplete --- the code only passes if you return the data frame sorted by BOTH department name AND rank. While in the problem description, it mentions to only rank by department name: "The results should be ordered by department name." Not a big difference I know, but students shouldn't need to look into the solution to get the necessary knowledge to answer the question."See full answer