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PremiumPractice & Solve Spark Problems to Enhance Your Coding Skills
Solve real-world PySpark problems and practice commonly asked Spark interview questions with ease.
Showing 1-15 of 195 problems
#↑ | Problem Title↕ | Tags↕ | Difficulty↕ | Tier↕ |
|---|---|---|---|---|
| 1 | Find the Count of Orders Per Customer | AggregationGroupBy | Easy | Free |
| 2 | Average of Positive Integers | Aggregation | Medium | Premium |
| 3 | Averaging Grades Across Subjects from JSON Data | FlatteningAggregation | Easy | Free |
| 4 | Simplifying Date Formats | Regex | Easy | Free |
| 5 | Remove duplicates | PartitionByWindow Functions | Easy | Free |
| 6 | Find Nth Highest Salary | RankWindow Functions | Easy | Free |
| 7 | Find the Average Salary by Department | AggregationGroupBy | Easy | Free |
| 8 | Find the Total Sales for Each Category | AggregationGroupBy | Easy | Free |
| 9 | Find Employees Who Have Worked More Than 5 Years | FilteringDate Functions | Easy | Free |
| 10 | Join Employees with Their Departments | JoinsSQL Operations | Easy | Free |
| 11 | Identify Products That Have Never Been Sold | SubqueriesJoinsData Filtering | Medium | Free |
| 12 | Identify Departments with More Than 5 Employees | JoinsAggregationGroupBy | Easy | Free |
| 13 | Find Employees Who Are Older Than the Average Age in Their Department | Window FunctionsAggregationData Filtering | Medium | Free |
| 14 | Find Top 3 Most Expensive Products Sold in Each Category | Window FunctionsJoinsAggregation | Medium | Free |
| 15 | Find the Customers Who Have Not Made Any Purchases in the Last 90 Days | Data FilteringDate Functions | Medium | Free |
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