DATABRICKS-SPARK Question 62

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose A0

  - DDL format for schemas is 'col1 TYPE, col2 TYPE' — comma-separated column definitions. You can use this anywhere a schema is accepted: spark.read.schema('id INT, name STRING').csv(path). Options B, C, D don't match DDL format.