Databricks Data Engineer Associate Question 239
Select 3You are working with a Delta Lake table in Databricks. The table contains sales transaction data, and you are tasked with analyzing its structure and lineage. Which of the following statements correctly differentiate between data and metadata in this context?
- A
The actual sales transaction records stored in the Delta table are considered data.
- B
The schema definition, including column names and data types, is considered metadata.
- C
Metadata includes the actual sales figures and transaction dates in the table.
- D
The history of operations performed on the Delta table (e.g., updates, merges) is considered metadata.
- E
Data includes the file formats and storage paths of the Delta table.
Show answer and explanation
Correct answers: A, B, D
Explanation
In Databricks and Delta Lake, data refers to the actual values and records stored in a table, while metadata provides information about the data's structure, lineage, and other descriptive details. Understanding this distinction is key to effectively managing and analyzing Delta Lake tables.
- A. Correct.
Correct: The actual sales transaction records stored in the Delta table represent the data itself, as they are the raw information being processed and analyzed.
- B. Correct.
Correct: Metadata refers to information about the structure of the data, such as schema definitions, column names, and data types.
- C. Incorrect.
Incorrect: Metadata does not include the actual values of the data, such as sales figures or transaction dates. These are part of the data.
- D. Correct.
Correct: Metadata includes operational details such as the history of changes (lineage) performed on the Delta table, which can be tracked using the Delta Lake transaction log.
- E. Incorrect.
Incorrect: Data does not include information about file formats or storage paths. These are considered part of the metadata.