"The supply and demand for Uber Eats may be greatly impacted in the near future by the two macroeconomic factors listed here. Each trend links to large alterations in consumer behavior, labor markets, and cost structures that can cascade across the delivery ecosystem.
Changes in Consumer Spending and Inflation Growing Costs and Fees for Food: Customers may order fewer deliveries or choose less expensive goods if food prices, restaurant running costs, or delivery fees increase as a result of"
Asish B. - "The supply and demand for Uber Eats may be greatly impacted in the near future by the two macroeconomic factors listed here. Each trend links to large alterations in consumer behavior, labor markets, and cost structures that can cascade across the delivery ecosystem.
Changes in Consumer Spending and Inflation Growing Costs and Fees for Food: Customers may order fewer deliveries or choose less expensive goods if food prices, restaurant running costs, or delivery fees increase as a result of"See full answer
"I said dockerizing the application and taking them in the Kubernetes cluster will help, I created a diagram of all the API they had."
Dheeraj S. - "I said dockerizing the application and taking them in the Kubernetes cluster will help, I created a diagram of all the API they had."See full answer
"Youtube's mission is to give everyone a voice and show them to the world, in video format.
In order to do so, Youtube is optimizing the experience for creators and consumers, and needs to add a layer of smart discovery for bringing the content to the world.
Recommendation engine can be for creators- recommending what type of videos (length, genre, video size, etc) they should create for maximum viewership, or for consumers, recommending relevant videos. We'll focus on the recommendation engi"
Ridhima K. - "Youtube's mission is to give everyone a voice and show them to the world, in video format.
In order to do so, Youtube is optimizing the experience for creators and consumers, and needs to add a layer of smart discovery for bringing the content to the world.
Recommendation engine can be for creators- recommending what type of videos (length, genre, video size, etc) they should create for maximum viewership, or for consumers, recommending relevant videos. We'll focus on the recommendation engi"See full answer
"It depends on the size of the dataset. You want enough samples in both the testing, training and evaluation sets. If there is enough data, 70/20/10 is a good split"
Jasmine Y. - "It depends on the size of the dataset. You want enough samples in both the testing, training and evaluation sets. If there is enough data, 70/20/10 is a good split"See full answer
"What about sharding by Real Estate companies that are listing the homes? Because the homes can span zip codes. Then further shard by zip codes?"
Adrian V. - "What about sharding by Real Estate companies that are listing the homes? Because the homes can span zip codes. Then further shard by zip codes?"See full answer
"Skype is a communication and collaboration tool used by individuals and businesses. Users can send messages, do audio and video calls, share screen etc.
There are two parts to the business model:
Individual user - to - individual user: users can make audio and video calls at no fee
Enterprises: Organisations need to purchase the subscription for internal usage.
Revenue depends on
\# of paying enterprises,
length of subscription,
price per month/year
Product objective: increase rev"
Rahul J. - "Skype is a communication and collaboration tool used by individuals and businesses. Users can send messages, do audio and video calls, share screen etc.
There are two parts to the business model:
Individual user - to - individual user: users can make audio and video calls at no fee
Enterprises: Organisations need to purchase the subscription for internal usage.
Revenue depends on
\# of paying enterprises,
length of subscription,
price per month/year
Product objective: increase rev"See full answer
"I'd like to clarify the question here for better understanding.
Are we targeting any location? Assuming WW
Do we have any demographics of the users? Assuming overall users
Did we see any drop recently in TV watching users metrics for which we want to improve the watch time on TVs? No, in general we want to improve this area.
Are we looking to improve the overall Netflix watch time on TV, not to acquire new users? Correct.
As Netflix is offering content of so many genres of con"
Vijendar K. - "I'd like to clarify the question here for better understanding.
Are we targeting any location? Assuming WW
Do we have any demographics of the users? Assuming overall users
Did we see any drop recently in TV watching users metrics for which we want to improve the watch time on TVs? No, in general we want to improve this area.
Are we looking to improve the overall Netflix watch time on TV, not to acquire new users? Correct.
As Netflix is offering content of so many genres of con"See full answer
"Instagram Reels: Instagram's answer to TikTok, Reels allows users to create and share short-form videos within the Instagram app. It leverages Instagram's existing user base and social features.
YouTube Shorts: YouTube introduced Shorts as a feature within its platform to enable users to create short, catchy videos. It capitalizes on YouTube's extensive content creator community and viewer base.
Snapchat Spotlight: Snapchat's Spotlight feature highlights short-form videos in"
Jessie Y. - "Instagram Reels: Instagram's answer to TikTok, Reels allows users to create and share short-form videos within the Instagram app. It leverages Instagram's existing user base and social features.
YouTube Shorts: YouTube introduced Shorts as a feature within its platform to enable users to create short, catchy videos. It capitalizes on YouTube's extensive content creator community and viewer base.
Snapchat Spotlight: Snapchat's Spotlight feature highlights short-form videos in"See full answer
"In details: setting k=1 in KNN makes the model fit very closely to the training data, capturing a lot of the data's noise and leading to a model that may not generalize well to unseen data. This results in a high-variance scenario."
Taha U. - "In details: setting k=1 in KNN makes the model fit very closely to the training data, capturing a lot of the data's noise and leading to a model that may not generalize well to unseen data. This results in a high-variance scenario."See full answer
"I am a book reader, so I use "goodreads" by amazon to track my reading. There are couple of things which can be done to increase user engagement on app.
User engagement on goodread is
creating profile
tagging books - want to read, reading, completed
marking up progress on daily reading.
Engaging with friends and their feedback about books.
Solutioning at each steps
Creating profile - App respond time is 2-3 min, which is very slow as compared to any general app,its circling"
Nidhi S. - "I am a book reader, so I use "goodreads" by amazon to track my reading. There are couple of things which can be done to increase user engagement on app.
User engagement on goodread is
creating profile
tagging books - want to read, reading, completed
marking up progress on daily reading.
Engaging with friends and their feedback about books.
Solutioning at each steps
Creating profile - App respond time is 2-3 min, which is very slow as compared to any general app,its circling"See full answer
"Clarify:
User experience improvements or revenue based improvements for the company? (Assumed UX)
Can it be hardware or must it be software? (assumed I have the choice)
Position:
My favorite product is Airbnb. It's an app that let's people list their home for short term rental and then let's guests book those homes (or rooms) to stay in. It's used primarily for vacations but people all over the world now use it for business or even longer term stays. It's idea was pretty revolutionary a"
Joel A. - "Clarify:
User experience improvements or revenue based improvements for the company? (Assumed UX)
Can it be hardware or must it be software? (assumed I have the choice)
Position:
My favorite product is Airbnb. It's an app that let's people list their home for short term rental and then let's guests book those homes (or rooms) to stay in. It's used primarily for vacations but people all over the world now use it for business or even longer term stays. It's idea was pretty revolutionary a"See full answer
"Leadership though empathy - I helped underperforming engineer to break into product since she had great product qualities like good attention to the user.. Now she is my peer and we cross-collaborate extensively. I have earned her trust and she can go the extra mile when my team needs some support."
Delyan P. - "Leadership though empathy - I helped underperforming engineer to break into product since she had great product qualities like good attention to the user.. Now she is my peer and we cross-collaborate extensively. I have earned her trust and she can go the extra mile when my team needs some support."See full answer
"Functional Requirement
Monitor health, metrics
Alert in case of failure/anomaly
Visualize the live health
Analyse machines on periodic basis
Non Functional
Should not exert load on machines
low latency
Highly scalable
Logs/Metrics Gathering
push - machine gather and send to system and low priority background thread along with batching
pull - heart beat check (for offline machines)
Processing
Real time streaming using Kafka/kinesis + Flink
TimeSeries database for stor"
Sourabh G. - "Functional Requirement
Monitor health, metrics
Alert in case of failure/anomaly
Visualize the live health
Analyse machines on periodic basis
Non Functional
Should not exert load on machines
low latency
Highly scalable
Logs/Metrics Gathering
push - machine gather and send to system and low priority background thread along with batching
pull - heart beat check (for offline machines)
Processing
Real time streaming using Kafka/kinesis + Flink
TimeSeries database for stor"See full answer
"Explained in STAR format one of the project situation where I had to collect data points by deploying a minimum viable product due to unclear business requirements/dynamic nature of business. Emphasized on exact data points and how they strategically used to iteratively deploy improved version of product."
Vijay P. - "Explained in STAR format one of the project situation where I had to collect data points by deploying a minimum viable product due to unclear business requirements/dynamic nature of business. Emphasized on exact data points and how they strategically used to iteratively deploy improved version of product."See full answer