Databricks Generative AI Engineer Associate Question 65
Select 4You are working with a large dataset that you have chunked into smaller text files for efficient processing. Your goal is to write the processed chunks into a Delta Lake table managed by Unity Catalog. Which steps should you take to ensure the data is correctly written and managed in the Delta Lake table?
- A
Use Spark DataFrame API to read each chunk and append the results to the Delta Lake table.
- B
Configure Unity Catalog permissions to allow appropriate read and write access before writing data.
- C
Directly write the text chunks into the Delta Lake table without transforming them into a structured format.
- D
Ensure that the Delta Lake table schema matches the structure of the processed data chunks.
- E
Enable Delta Lake's ACID transaction support to ensure consistency during concurrent writes.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
To write chunked text into Delta Lake tables in Unity Catalog, you must first transform the chunks into a structured format like Spark DataFrames. The Delta Lake table schema must match the processed data structure, and proper Unity Catalog permissions should be configured before writing. Additionally, Delta Lake's ACID transactions ensure data consistency and reliability during concurrent operations. Skipping any of these steps may result in errors or data inconsistencies.
- A. Correct.
This is correct because the Spark DataFrame API is commonly used to handle structured data for writing into Delta Lake tables. Each chunk must first be converted into a DataFrame before appending.
- B. Correct.
This is correct because Unity Catalog requires proper permissions to be configured for accessing and managing Delta Lake tables.
- C. Incorrect.
This is incorrect because text chunks need to be transformed into structured formats, such as DataFrames, before they can be written to Delta Lake.
- D. Correct.
This is correct because the Delta Lake table schema must align with the data being written to ensure compatibility and avoid schema mismatch errors.
- E. Correct.
This is correct because Delta Lake's ACID transaction support ensures data consistency and reliability during concurrent writes, which is essential in multi-user environments.