Databricks Generative AI Engineer Associate Question 61
Select 4You are working on a machine learning pipeline where text data is processed in chunks and needs to be written incrementally into a Delta Lake table registered in Unity Catalog. Which steps should you follow to ensure the data is correctly written and managed in the Delta table?
- A
Use the Delta Lake
writemethod with the 'overwrite' mode for each chunk to ensure data consistency. - B
Enable transaction support by using Delta Lake's ACID capabilities when writing the chunks.
- C
Register the Delta table in Unity Catalog by assigning it to a catalog and schema before writing the data.
- D
Use the Delta Lake
mergemethod to handle updates or duplicates when writing the chunks. - E
Ensure that the Delta Lake table has an appropriate partition column defined to optimize performance for large-scale text data.
Show answer and explanation
Correct answers: B, C, D, E
Explanation
Writing chunked text data to a Delta Lake table in Unity Catalog involves ensuring consistency, governance, and performance. Using Delta Lake's ACID capabilities (automatically enabled), registering the table in Unity Catalog, handling updates or duplicates with merge, and defining appropriate partitions are all necessary steps. Avoiding modes like 'overwrite' ensures data is not inadvertently lost during incremental writes.
- A. Incorrect.
Using the 'overwrite' mode for writing each chunk will delete existing data and is not suitable for incremental writing. This can lead to data loss.
- B. Correct.
Delta Lake automatically supports ACID transactions, which are crucial for handling incremental writes to ensure consistency and reliability.
- C. Correct.
Before writing to a Delta table in Unity Catalog, the table must be registered in a catalog and schema to ensure proper governance and accessibility.
- D. Correct.
The
mergemethod in Delta Lake allows handling updates or duplicates efficiently during incremental writes, which is vital for managing chunked data. - E. Correct.
Partitioning the Delta Lake table improves query performance and write efficiency, especially for large-scale datasets like chunked text.