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1. Which of the following code blocks silently writes DataFrame itemsDf in avro format to location fileLocation if a file does not yet exist at that location?

2. Which of the elements that are labeled with a circle and a number contain an error or are misrepresented?

3. 5

4. Which of the following code blocks displays the 10 rows with the smallest values of column value in DataFrame transactionsDf in a nicely formatted way?

5. Which of the following code blocks can be used to save DataFrame transactionsDf to memory only, recalculating partitions that do not fit in memory when they are needed?

6. spark.read.json(filePath, schema=schema)

C. spark.read.json(filePath, schema=schema_of_json(json_schema))

D. spark.read.json(filePath, schema=spark.read.json(json_schema))

7. "left_semi"

8. parquet

9. parquet

10. Which of the following is a viable way to improve Spark's performance when dealing with large amounts of data, given that there is only a single application running on the cluster?


 

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