"I tried solving this question and here is the recorded video for the entire solution - https://youtu.be/G_LIbTp58XA
Feel free to comment here or on the video for further discussion."
Rjj - "I tried solving this question and here is the recorded video for the entire solution - https://youtu.be/G_LIbTp58XA
Feel free to comment here or on the video for further discussion."See full answer
"It might not be a good idea to predict stock prices only based on reddit comments.
You could create a signal from reddit comments that can indicate "social media interest" and feed it into a ML system (along with other features) that predicts prices. Collecting good data to train the model and evaluating it correctly are going to be huge challenges."
Satyajit G. - "It might not be a good idea to predict stock prices only based on reddit comments.
You could create a signal from reddit comments that can indicate "social media interest" and feed it into a ML system (along with other features) that predicts prices. Collecting good data to train the model and evaluating it correctly are going to be huge challenges."See full answer
"TCP server/client to facilitate high throughput of incoming metrics.(This is the standard used in the industry by Datadog etc).
NoSQL or timeseries database for storing metrics. Timeseries databases are better for aggregating metrics in a given time period.
REST API for serving metrics data to visualization frontend."
Abhi R. - "TCP server/client to facilitate high throughput of incoming metrics.(This is the standard used in the industry by Datadog etc).
NoSQL or timeseries database for storing metrics. Timeseries databases are better for aggregating metrics in a given time period.
REST API for serving metrics data to visualization frontend."See full answer
" can we use blomfilters to check existing usernames? and if both are creating at a time, like both are choosing some abcd , here system checks whether user with that name exists or not. so while checking , it will add an entry on redis (example) with this name as key and obtain lock using some distributed lock. , it will lock on that name. (like seat booking in bookmyshow) with some TTL value.
so this check will happen once user enters his interest username and also while submit .. 2 times che"
Gk K. - " can we use blomfilters to check existing usernames? and if both are creating at a time, like both are choosing some abcd , here system checks whether user with that name exists or not. so while checking , it will add an entry on redis (example) with this name as key and obtain lock using some distributed lock. , it will lock on that name. (like seat booking in bookmyshow) with some TTL value.
so this check will happen once user enters his interest username and also while submit .. 2 times che"See full answer
"Start your stream
Use the Post tab to: Choose where to post your live broadcast. Write a description. Select a camera, mic and screen (if screen sharing). Add a title for your live broadcast (optional). Select the primary language of the stream. ...
Once everything is set, select Go Live."
Abdurhman M. - "Start your stream
Use the Post tab to: Choose where to post your live broadcast. Write a description. Select a camera, mic and screen (if screen sharing). Add a title for your live broadcast (optional). Select the primary language of the stream. ...
Once everything is set, select Go Live."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
"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
"Functional requirement's:
partial search while searching for users, products any keywords in the search.
additional keywords in the filter
Black listed words in the search.
Non functional requirements:
low latency,
search through 2 Billion records
recent search should be cached.
Design:
high reads,
we should have caching enabled over the primary db storages.
caching cluster can be added when the search load increases.
read ahead. - check in cache
(periodic cache refresh), lfu, lru
"
Sandeep Y. - "Functional requirement's:
partial search while searching for users, products any keywords in the search.
additional keywords in the filter
Black listed words in the search.
Non functional requirements:
low latency,
search through 2 Billion records
recent search should be cached.
Design:
high reads,
we should have caching enabled over the primary db storages.
caching cluster can be added when the search load increases.
read ahead. - check in cache
(periodic cache refresh), lfu, lru
"See full answer
"Lyft mission.
What do we mean by engagement here? We want higher rides , not just time spent on app. What does social mean? When we create interactions between riders. Lyft line is social.
Ideas:
Idea: Can we maintain interactions between riders by letting them ride with same people again? Benefit: Increases repeat rides.
Idea: Giving riders an option to request a driver they rode with. Benefits: Increases social interaction between riders and drivers. Increases retention and # rides as"
M N. - "Lyft mission.
What do we mean by engagement here? We want higher rides , not just time spent on app. What does social mean? When we create interactions between riders. Lyft line is social.
Ideas:
Idea: Can we maintain interactions between riders by letting them ride with same people again? Benefit: Increases repeat rides.
Idea: Giving riders an option to request a driver they rode with. Benefits: Increases social interaction between riders and drivers. Increases retention and # rides as"See full answer
"Assumptions: This is an entirely new app and not part of FB
Clarification questions:
Q: What type of doctors are they looking for? It seems like an app would be for a more generalist doctor to establish relationship and not some type of emergency situation
A: Yes
Q: When we say looking for doctors whats the scope of this? Should we include making the actual appointment, does this happen on platform?
A: Yes, initial appointment
Ok thanks based on that I think we have enough to get started.
"
Anonymous Hummingbird - "Assumptions: This is an entirely new app and not part of FB
Clarification questions:
Q: What type of doctors are they looking for? It seems like an app would be for a more generalist doctor to establish relationship and not some type of emergency situation
A: Yes
Q: When we say looking for doctors whats the scope of this? Should we include making the actual appointment, does this happen on platform?
A: Yes, initial appointment
Ok thanks based on that I think we have enough to get started.
"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