"Clarifications: Is it passenger/cargo/defense
Answer: Passenger
Is it direct or stops included - Direct
Last I read London had 80 M passengers annually
Per month - 6.7 M
Per Day - 220 K
Assumption here - London is a hub and it has flights to all continents. Assumptions are the split below
Flights to Europe -- 30%
Flights to USA -- 20%
Flights to Asia -- 30%
Flights to Africa -- 10%
Flights to Australia -- 10%
Dubai is part of Asia - 30% of 220 K is 66K
Within Asia - Passeng"
Ramesh Y. - "Clarifications: Is it passenger/cargo/defense
Answer: Passenger
Is it direct or stops included - Direct
Last I read London had 80 M passengers annually
Per month - 6.7 M
Per Day - 220 K
Assumption here - London is a hub and it has flights to all continents. Assumptions are the split below
Flights to Europe -- 30%
Flights to USA -- 20%
Flights to Asia -- 30%
Flights to Africa -- 10%
Flights to Australia -- 10%
Dubai is part of Asia - 30% of 220 K is 66K
Within Asia - Passeng"See full answer
"Firstly need to check is this service really beneficial or not. And video service provide more realistic perspective about the product so keep it"
Priyanka C. - "Firstly need to check is this service really beneficial or not. And video service provide more realistic perspective about the product so keep it"See full answer
"Null hypothesis (H0): the coin is fair (unbiased), meaning the probability of flipping a head is 0.5
Alternative (H1): the coin is unfair (biased), meaning the probability of flipping a head is not 0.5
To test this hypothesis, I would calculate a p-value which is the probability of observing a result as extreme as, or more extreme than, what I say in my sample, assuming the null hypothesis is true.
I could use the probability mass function of a binomial random variable to model the coin toss b"
Lucas G. - "Null hypothesis (H0): the coin is fair (unbiased), meaning the probability of flipping a head is 0.5
Alternative (H1): the coin is unfair (biased), meaning the probability of flipping a head is not 0.5
To test this hypothesis, I would calculate a p-value which is the probability of observing a result as extreme as, or more extreme than, what I say in my sample, assuming the null hypothesis is true.
I could use the probability mass function of a binomial random variable to model the coin toss b"See full answer
"Goal: Increase adoption of HPC capabilities offered by Google within enterprise customer context
Vision: Accelerate high computing needs of enterprise, driven by innovation and definitive business outcomes
Does this align with Google's vision - YES
Trend Analysis:
Technology:
a. Introduce Intraday liquidity calculations
b. Improve fraud detection using much large volume of data
c. Faster value added risk calculations.
d. Graph analysis for entity linking for large volume of customer a"
Arvind R. - "Goal: Increase adoption of HPC capabilities offered by Google within enterprise customer context
Vision: Accelerate high computing needs of enterprise, driven by innovation and definitive business outcomes
Does this align with Google's vision - YES
Trend Analysis:
Technology:
a. Introduce Intraday liquidity calculations
b. Improve fraud detection using much large volume of data
c. Faster value added risk calculations.
d. Graph analysis for entity linking for large volume of customer a"See full answer
"Goal of the pilot deployment: 1) Evaluate if riders would choose self driving cars (SDC) over regular driver operated cars 2) Test SDC performance/efficiency in given area before scaling operations
Interviewer liked my goals and asked me to proceed , this is where I got stuck. I wasnt sure if this was an algorithmic based problem or something else and started saying about general issues SDC may have that may impact customer experience such as SDC waiting too long in traffic affecting ETA, SDC"
Prashant R. - "Goal of the pilot deployment: 1) Evaluate if riders would choose self driving cars (SDC) over regular driver operated cars 2) Test SDC performance/efficiency in given area before scaling operations
Interviewer liked my goals and asked me to proceed , this is where I got stuck. I wasnt sure if this was an algorithmic based problem or something else and started saying about general issues SDC may have that may impact customer experience such as SDC waiting too long in traffic affecting ETA, SDC"See full answer
"At Facebook, you notice a sudden spark in DAUs in Indonesia — how would you determine the cause of this?
I'd like to clarify a few things before starting to brainstorm root causes to hopefully narrow down the number of possibilities if you don't mind? - Not at all, please go ahead...
Over what time frame has this spark occurred? - DAU's have sparked over the past 3 weeks.
Thank you! Next, what are we qualifying DAU as? Is it simply just a user opening the app at least once during the"
Ivan B. - "At Facebook, you notice a sudden spark in DAUs in Indonesia — how would you determine the cause of this?
I'd like to clarify a few things before starting to brainstorm root causes to hopefully narrow down the number of possibilities if you don't mind? - Not at all, please go ahead...
Over what time frame has this spark occurred? - DAU's have sparked over the past 3 weeks.
Thank you! Next, what are we qualifying DAU as? Is it simply just a user opening the app at least once during the"See full answer
"This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"
Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"See full answer
"This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"
Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"See full answer
"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"
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