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Exam Associate-Developer-Apache-Spark-3.5 Topic 1 Question 96 Discussion

Actual exam question for Databricks's Associate-Developer-Apache-Spark-3.5 exam
Question #: 96
Topic #: 1
24 of 55.
Which code should be used to display the schema of the Parquet file stored in the location events.parquet?

Suggested Answer: C Vote an answer

To view the schema of a Parquet file, you must use the DataFrameReader to load the Parquet data and call the .printSchema() method.
Correct syntax:
spark.read.parquet("events.parquet").printSchema()
This command loads the file metadata (without triggering a full read) and prints the column names, data types, and nullability information in a tree format.
Why the other options are incorrect:
A/D: SQL queries can't directly introspect file schemas.
B: .show() displays data rows, not schema.
Reference:
PySpark DataFrameReader API - read.parquet() and DataFrame.printSchema().
Databricks Exam Guide (June 2025): Section "Using Spark SQL" - describes reading files and examining schemas in Spark SQL and DataFrame APIs.

by Jill at May 26, 2026, 04:03 PM

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