Compute the median of a list. Compute it in an optimal way if I keep increasing the size of the list.
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SQL physical and logical schema, 2 problem solving/riddle questions
What is a challenge the data industry faces?
Let's assume you have 100 partitions in Spark, and by mistake, you used Coalesce(200) to increase partitions to 200. What will happen?
How many joins are there? Please explain each
sql and python
You are given an integer list coins representing coins of different denominations and an integer amount representing a total amount of money. Return the fewest number of coins that you need to make up that amount. If that amount of money cannot be made up by any combination of the coins, return {}. You may assume that you have an infinite number of each kind of coin. Example 1: Input: coins = [1, 5, 6, 9, 15], amount = 31 Output: {15:2, 1:1} Example 2: Input: coins = [1, 5, 6, 9, 15], amount = 100 Output: {15:6, 9:1, 1:1}
If you do a xor b xor a, what is the end result?
Typical data engineering questions
The gave me driver data, passenger data and booking data. You will be asked to run some aggregation on this and publish the results.
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