Databricks Certified Generative AI Engineer - Associate

Explanation

The correct sequence is Option A because:

1. Combine chunks: Since the dataset is chunked, it must first be combined into a cohesive structure that can be processed effectively.

2. Convert to DataFrame: Delta Lake operates on Spark DataFrames, so the combined chunks must be converted into a DataFrame.

3. Write to Delta Lake in Overwrite mode: The Overwrite mode ensures that existing data in the table is replaced by the new data being written, which is suitable when working with large datasets that need to be refreshed or replaced.

Why other options are incorrect:

• Option B: Append mode is not ideal because it would add data without replacing the existing table contents
• Option C: Append mode is inefficient and schema definitions are typically handled during DataFrame creation
• Option D: Schema definition is not a separate step and should be handled during DataFrame conversion

This approach ensures efficient processing of large chunked datasets while properly managing table updates in Delta Lake.