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You have 2 jars and 50 black beads and 50 white beads. How many would you put of each color in each jar so that if a bead was randomly selected from both jars, you had the greatest chance they would match? You have to put all of the beads in the jars.
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Software Engineer II

Interviewed at Blackbaud

3.2★
Sep 27, 2013

You have 2 jars and 50 black beads and 50 white beads. How many would you put of each color in each jar so that if a bead was randomly selected from both jars, you had the greatest chance they would match? You have to put all of the beads in the jars.

Write a function in Java that will take a sorted array of ints, possibly with duplicates, and compact the array removing all the duplicate numbers. That is, if the contains the numbers - 1, 3, 7, 7, 8, 9, 9, 9, 10, then when the function returns, the contents should be - 1, 3, 7, 8, 9, 10. Be sure your answer is as efficient as possible. Describe the efficiency of your algorithm using big O notation.
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Software Engineer Intern

Interviewed at Motorola Mobility

4.2★
Mar 19, 2009

Write a function in Java that will take a sorted array of ints, possibly with duplicates, and compact the array removing all the duplicate numbers. That is, if the contains the numbers - 1, 3, 7, 7, 8, 9, 9, 9, 10, then when the function returns, the contents should be - 1, 3, 7, 8, 9, 10. Be sure your answer is as efficient as possible. Describe the efficiency of your algorithm using big O notation.

I have a log that consists of more than 100 million lines. Each line is just a data about user login, login time, etc. I want to sort them based on user login, and then if there is a tie based on login time, etc. However, I have limited memory, so don't think of storing all of them in an array. The memory can only hold n data where n is much smaller than 100 millions. You can access the disk though although it is much slower. How will you do it so that it is as efficient as possible?
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Software Developer

Interviewed at Epic

3.3★
Aug 29, 2009

I have a log that consists of more than 100 million lines. Each line is just a data about user login, login time, etc. I want to sort them based on user login, and then if there is a tie based on login time, etc. However, I have limited memory, so don't think of storing all of them in an array. The memory can only hold n data where n is much smaller than 100 millions. You can access the disk though although it is much slower. How will you do it so that it is as efficient as possible?

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