Product questions heavily focused on FB products. How would you measure success of a new product? SQL assignment was to write a query which computes conversion rates for 2 products given the log of users actions with type of action for each product type.
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sql and python question 5+5
Suppose the Recommended Friends team has updated the algorithm to analyze if the new algorithm is better than the old algorithm.
Basic data structure and sql statement at a very high level short answers
Python (1) Count "char" in the string. (2) Replace "None" in an array. Codes are simple but passing edge cases are difficult. SQL several % calculation questions
SQL - Q1. Find the IDs of the top 5 customers, ordered by average payment per book made by the people they invited.
Find max min avg of the order by date, customer, product, state. Coding was easy pretty much what people already posted here.
Level of severity is in line with what folks have mentioned above. But they have new question set. Funny that they kept asking the same questions for more than a year before changing them out.
there is algorithm that rates the posts according to the possibility to be spam. how would you check if the algorithm works?
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