Exam Databricks-Machine-Learning-Professional Topic 8 Question 77 Discussion
Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam
Question #: 77
Topic #: 8
Question #: 77
Topic #: 8
A Machine Learning Engineer is tasked with building an automated daily pipeline that updates a customer_features table in Unity Catalog. They have implemented a function, compute_customer_features, that returns a DataFrame with a unique customer_id as the primary key and want to ensure the latest feature values are merged into the table each day. Which code snippet implements this requirement?
Suggested Answer: D Vote an answer
Using write_table with mode set to merge updates existing rows and inserts new ones based on the table's primary key. This ensures that the latest feature values for each customer_id are merged into the existing feature table each day without overwriting the entire table, which is the correct and scalable approach for maintaining up-to-date customer features in Unity Catalog.
by Marjorie at Oct 14, 2026, 09:53 PM
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