Site Coordinator Interview Questions

5,610 site coordinator interview questions shared by candidates

They gave me the below question to solve in 30 mins. Based on customer research, we know that our guests get confused when they are searching for accommodation and they found multiple hotels with the same name in the same city. To avoid this, we want to create a tool to identify "confusing" cities: cities with at least 3 hotels with the same name. Given a list of tuples (hotel_id, hotel_name, city) return a list of all "confusing" cities. Input: [ {hotel_1234, "Sheraton", "Amsterdam"} , {hotel_1000, "Sheraton", "Buenos Aires"} , {hotel_1001, "Hilton", "Amsterdam"} , {hotel_1002, "Royal Palace", "Bogota"} , {hotel_1003, "Hilton", "Amsterdam"} , {hotel_1004, "Sheraton", "Buenos Aires"} , {hotel_1005, "Sheraton", "Buenos Aires"} ] Output: [ "Buenos Aires" ]
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Site Reliability Engineer

Interviewed at Booking.com

4.1
Aug 6, 2019

They gave me the below question to solve in 30 mins. Based on customer research, we know that our guests get confused when they are searching for accommodation and they found multiple hotels with the same name in the same city. To avoid this, we want to create a tool to identify "confusing" cities: cities with at least 3 hotels with the same name. Given a list of tuples (hotel_id, hotel_name, city) return a list of all "confusing" cities. Input: [ {hotel_1234, "Sheraton", "Amsterdam"} , {hotel_1000, "Sheraton", "Buenos Aires"} , {hotel_1001, "Hilton", "Amsterdam"} , {hotel_1002, "Royal Palace", "Bogota"} , {hotel_1003, "Hilton", "Amsterdam"} , {hotel_1004, "Sheraton", "Buenos Aires"} , {hotel_1005, "Sheraton", "Buenos Aires"} ] Output: [ "Buenos Aires" ]

You need to distribute a terabyte of data from a single server to 10,000 nodes, and then keep that data up to date. It takes several hours to copy the data just to one server. How would you do this so that it didn't take 20,000 hours to update all the servers? Also, how would you make sure that the file wasn't corrupted during the copy?
avatar

Site Reliability Engineer

Interviewed at LinkedIn

3.8
Oct 9, 2013

You need to distribute a terabyte of data from a single server to 10,000 nodes, and then keep that data up to date. It takes several hours to copy the data just to one server. How would you do this so that it didn't take 20,000 hours to update all the servers? Also, how would you make sure that the file wasn't corrupted during the copy?

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