Top PySpark Interview Questions on Employee and Department Datasets (with Examples) In this post, you'll find all possible PySpark questions and solutions based on the classic Employee and…
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Puzzle 17 - Flatten the list and Count the Occurrences
Flatten a Nested List and Count Occurrences in Python You’ve been given a jumbled guest list where names are stored in a nested structure of lists within lists. Some guests appear more than once — that’s oka…
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Puzzle 16 - Flatten the list without Duplicates
Flatten a Nested List and Remove Duplicates in Python You’ve been given a jumbled guest list where names are stored in a nested structure of lists within lists. Some guests appear more than once — that’s oka…
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Puzzle 15 - Non-Recursive List Unpacking(with duplicates)
Flatten a Nested List in Python Without Recursion You’ve been given a jumbled guest list where names are stored in a nested structure of lists within lists. Some guests appear more than once — that’s okay. Y…
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Puzzle 14 - Recursive List Unpacking (with duplicates)
Flatten a Nested List Recursively in Python (Preserve Duplicates) You’ve been given a jumbled guest list where names are stored in a nested structure of lists within lists. Some guests appear more than once …
Continue ReadingCreate a round-robin schedule where each department plays with every other department exactly once. No department should play against itself, and duplicate matchups like A vs B and B vs A should be avoided. …
Continue ReadingI have a large text file, and I want to analyze it using PySpark to determine which word appears most frequently. Could you help me with a PySpark script Input Data: …
Continue ReadingGiven a dataset of customer transactions or movements over time, how can you determine the origin (first location) and destination (last location) for each customer using PySpark? …
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How to Filter and Retrieve the Second Transaction in PySpark
Given a sales table containing transaction records for various products, write a PySpark query to find products that have exactly two transactions. For these products, return only the details of their second tr…
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Python PySpark Puzzle 9 - Identify Frequent Customers
Identify frequent customers who had ≥5 service appointments in specific service types (‘Engine Repair’, ‘Transmission Check’). Calculate their total service cost and aver…
Continue ReadingGiven an employee salary dataset, write a query to perform the following operations: Rank employees within each department based on their sal…
Continue ReadingYou are given a table of customer transactions that includes each customer's purchases over time. Your task is to identify the customers with the highest lifetime spendi…
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