Answer D:
The search optimization service can significantly improve the performance of certain types of lookup and analytical queries that use an extensive set of predicates for filtering.
The search optimization service aims to significantly improve the performance of certain types of queries on tables, including:
Selective point lookup queries on tables. A point lookup query returns only one or a small number of distinct rows. Use case examples include:
Business users who need fast response times for critical dashboards with highly selective filters.
Data scientists who are exploring large data volumes and looking for specific subsets of data.
Data applications retrieving a small set of results based on an extensive set of filtering predicates.
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