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A data engineer notices slow query performance on a large Delta table in Azure Databricks. The table has frequent updates and deletes. Which action best improves query performance?
Correct Answer: C
OPTIMIZE compacts small files into larger ones, reducing file scan overhead. ZORDER improves data skipping by co-locating related column values. This combination significantly improves query performance on frequently filtered columns. Increasing cluster size does not address file fragmentation. Converting to Parquet removes Delta benefits like ACID transactions.
