1. Given the sample: id, status 1, active 2, active 3, active 4, pending 5, expired 6, expired 7, expired 8, pending Pull the unique statuses that show up consecutively 3 times, e.g. from the sample, the output would be 'active', 'expired'. 2. Given the sample: employee, in_out, time A, IN, 6:00 B, IN, 7:00 A, OUT, 8:00 C, IN, 9:30 A, IN, 9:00 A, OUT, 10:00 B, OUT, 11:00 C, OUT, 10:00 Determine which employees are in the building at 10:30.
If you take 3 subsequent number (n, n+1, n+2) and know, that n and n+2 are prime numbers, can you proove, that n+1 is always dividable by 6?
try to get a pattern out of string or json. ask you to translate numbers from 1 to 100 to names of numbers ( for example 34 translated to thirty-four). you need to come with a solution within 10 seconds, I am able to get it done within 2 minutes. That's not fast enough.
Write a constant-time Python 3 implementation of LRU cache. Use any Python data structures. The provided unit tests must pass. You have 15 minutes.
2 Sum
The percentage of female customer base
phone screen for SQL: Give data model - solve various SQL questions Python: list and dict manipulation
They answered no questions I sent over and sent my own questions back to me. So that was mighty pathetic too.
1. Imagine a table keeping track of all the rides a driver undertakes in a given day. How do you query that table to find out the time when he did not have any rides. So the table may have a record when he picks up his first ride and then he picks another and then drops both of them. After a while he picks up a few more which again is recorded in the table. So with all that how do you find the data when he does not have any rides
Data Model: LinkedIn data model - model for 1st degree connection Python: 1. Dedup items in the list - retaining the order of items. ==> cannot use dict/set since order will not be retained. Follow up question on this - How would you handle nested lists? (they are looking for recursion) 2. Find the number of words in a sentence /avg length of word SQL On the product-sales-customers data model that is preloaded in coderpad.io, write the following queries 1. Count of stores in OR state with area_sqft > 25000 2. avg number of Female Customers group by state 3. Customer FirstName, Last Name and count of unqiue products purchased by state followup question - Return the top customer by state based on diverse product purchased (diverse = count(distinct product_id))
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