Databricks Data Engineer Associate Question 93
Single answerYou are creating a SQL query on Databricks to process data stored in a Delta table. When writing the query, you notice that the FROM keyword is followed by a prefix. What does this prefix indicate in the context of Databricks SQL?
- A
The data format or type being queried, such as Delta or Parquet.
- B
The version of the data being queried, such as a specific snapshot of a Delta table.
- C
The alias name assigned to the table for use in the query.
- D
The schema or database in which the table resides.
Show answer and explanation
Correct answer: A
Explanation
In Databricks SQL, prefixes after the FROM keyword are used to identify the data type or format being queried. For instance, Delta tables, which are optimized for big data workloads, are often specified with the prefix 'delta.'. This helps Databricks understand how to interact with the underlying data correctly.
- A. Correct.
Correct. In Databricks SQL, the prefix after the FROM keyword often specifies the data format or type, such as Delta, which is commonly used for querying and processing.
- B. Incorrect.
Incorrect. While Delta tables support versioning, the prefix after FROM does not indicate the version of the data being queried. Versioning is handled with specific syntax or options in the query.
- C. Incorrect.
Incorrect. The alias name for a table is typically defined using the AS keyword and not as a prefix immediately following FROM.
- D. Incorrect.
Incorrect. While the schema or database context is important, it is not represented as a prefix after the FROM keyword but rather as part of the fully qualified table name.