Pass the Teradata Vantage Master 2.0 TDVAN5 Questions and answers with ExamsMirror

A multi-table join index pre-joins data from multiple tables and stores the result, allowing subsequent queries that perform similar joins to access the pre-joined data directly. This can significantly improve query performance, especially when there is a common set of columns frequently joined between parquet external data and dimension tables.

Option A (Row partition the parquet table on the filter columns): While row partitioning might improve some performance aspects, it’s more suited for managing large datasets within Vantage tables and not as effective for parquet external data access.

Option B (Change the primary index of the foreign server to the filtering columns): There is no "primary index" on foreign servers. Foreign data (like parquet) doesn't use Vantage primary index concepts, so this option is not applicable.

Option C (Create a foreign server to access the data with column partitioning): Column partitioning is not typically applicable to external parquet data accessed through a foreign server in the same way it is for native tables. While you can optimize column access, a multi-table join index is more effective for query performance involving frequent joins.