Databricks Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Topic 1 Question 67 Discussion

spark.read.json(filePath)

Correct. spark.read accesses Spark's DataFrameReader. Then, Spark identifies the file type to be read as JSON type by passing filePath into the DataFrameReader.json() method.

spark.read.path(filePath)

Incorrect. Spark's DataFrameReader does not have a path method. A universal way to read in files is provided by the DataFrameReader.load() method (link below).

spark.read.path(filePath, source='json')

Wrong. A DataFrameReader.path() method does not exist (see above).

spark.read().json(filePath)

Incorrect. spark.read is a way to access Spark's DataFrameReader. However, the DataFrameReader is not callable, so calling it via spark.read() will fail.

spark.read().path(filePath)

No, Spark's DataFrameReader is not callable (see above).

More info: pyspark.sql.DataFrameReader.json --- PySpark 3.1.2 documentation, pyspark.sql.DataFrameReader.load --- PySpark 3.1.2 documentation

Static notebook | Dynamic notebook: See test 3, Question: 34 (Databricks import instructions)