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Grid Illumination: Given an NxN grid with an array of lamp coordinates. Each lamp provides illumination to every square on their x axis, every square on their y axis, and every square that lies in their diagonal (think of a Queen in chess). Given an array of query coordinates, determine whether that point is illuminated or not. The catch is when checking a query all lamps adjacent to, or on, that query get turned off. The ranges for the variables/arrays were about: 10^3 < N < 10^9, 10^3 < lamps < 10^9, 10^3 < queries < 10^9.
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Software Engineer Intern

Interviewed at Dropbox

3.9★
Sep 29, 2016

Grid Illumination: Given an NxN grid with an array of lamp coordinates. Each lamp provides illumination to every square on their x axis, every square on their y axis, and every square that lies in their diagonal (think of a Queen in chess). Given an array of query coordinates, determine whether that point is illuminated or not. The catch is when checking a query all lamps adjacent to, or on, that query get turned off. The ranges for the variables/arrays were about: 10^3 < N < 10^9, 10^3 < lamps < 10^9, 10^3 < queries < 10^9.

for encoding that {a,b,c,...,z}<->{1,2,3,...,26} if given a list of digit e.g. [1,2,3], this may represent {1,2,3}->{a,b,c} or {12,3}->{l,c} or {1,23}->{a,w}. so there are 3 possible interpretations for list [1,2,3] so, given a list of digit, calculate the number of possible interpretations for the list.
avatar

Software Engineer Intern

Interviewed at Meta

3.5★
Oct 3, 2016

for encoding that {a,b,c,...,z}<->{1,2,3,...,26} if given a list of digit e.g. [1,2,3], this may represent {1,2,3}->{a,b,c} or {12,3}->{l,c} or {1,23}->{a,w}. so there are 3 possible interpretations for list [1,2,3] so, given a list of digit, calculate the number of possible interpretations for the list.

Given a 1TB file of serialized 4 byte integers, and 2GB of ram, sort the integers into a resulting 1TB file. My interviewer was very collaborative in entertaining various solution ideas until we came up with a combo that would work performantly and reduce the number of passes over the 1TB file and intermediate files.
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Senior Software Engineer

Interviewed at Meta

3.5★
Oct 14, 2010

Given a 1TB file of serialized 4 byte integers, and 2GB of ram, sort the integers into a resulting 1TB file. My interviewer was very collaborative in entertaining various solution ideas until we came up with a combo that would work performantly and reduce the number of passes over the 1TB file and intermediate files.

After Round 2 I Asked Interviewer How he would Solution for Above mentioned Q1 & Q2 questions of the Round 2 Technical Interview. Very Smartly Interviewer Did not take any effort to answer and also told me find it out by myself :)
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Senior Software Engineer

Interviewed at Intuit

4.2★
Aug 10, 2013

After Round 2 I Asked Interviewer How he would Solution for Above mentioned Q1 & Q2 questions of the Round 2 Technical Interview. Very Smartly Interviewer Did not take any effort to answer and also told me find it out by myself :)

1. What difference have you made in current team apart from regular work ? 2. What are the steps you follow to rebuild a table in database ? 3. How did you do performance tuning ? 4. How do you find the skewness of data in table ? 5. Difference between RDBMS and Dimensional Modeling SQL 1) purchase customer_id product_id quantity purchase_date 1 111 1 01/01/2017 1 111 2 01/02/2107 1 222 2 01/02/2017 2 111 3 01/04/2017 2 222 1 01/03/2017 3 222 1 01/05/2017 3 222 1 01/06/2017 3 111 1 01/06/2017 3 111 1 01/04/2017 Q: How many customers bought each product how many times during the week? Product_Id Number_of Customers Number_of_Times 111 2 2 111 1 1 222 2 1 222 1 2 2) daily_usage account_id usage_amount usage_date 1 10 1 1 20 2 1 15 3 1 30 4 Q. a) How do you print the usage_amount of previous/consecutive rows b) Without using window functions
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Data Engineer

Interviewed at Amazon

3.5★
Feb 16, 2017

1. What difference have you made in current team apart from regular work ? 2. What are the steps you follow to rebuild a table in database ? 3. How did you do performance tuning ? 4. How do you find the skewness of data in table ? 5. Difference between RDBMS and Dimensional Modeling SQL 1) purchase customer_id product_id quantity purchase_date 1 111 1 01/01/2017 1 111 2 01/02/2107 1 222 2 01/02/2017 2 111 3 01/04/2017 2 222 1 01/03/2017 3 222 1 01/05/2017 3 222 1 01/06/2017 3 111 1 01/06/2017 3 111 1 01/04/2017 Q: How many customers bought each product how many times during the week? Product_Id Number_of Customers Number_of_Times 111 2 2 111 1 1 222 2 1 222 1 2 2) daily_usage account_id usage_amount usage_date 1 10 1 1 20 2 1 15 3 1 30 4 Q. a) How do you print the usage_amount of previous/consecutive rows b) Without using window functions

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