Option C is correct because integrating a Cortex Search Service with Cortex Analyst for literal search improvement involves adding a entry to the relevant dimension. Specifying the 'literal_column' explicitly helps map the semantic dimension to the underlying column indexed by the search service, ensuring the correct values are used for semantic search. Option D is also correct. For dimensions with relatively low-cardinality values, setting 'is_enum: true and providing 'sample_values' tells the model to choose only from that predefined list, which is an effective way to improve literal usage without requiring an external Cortex Search Service. Option A is incorrect because while 'sample_valueS are used for semantic similarity search for low-cardinality dimensions, they don't leverage the full capabilities of a Cortex Search Service for 'fuzzy' search over potentially high-cardinality data. Option B is incomplete. While specifying the 'service' name is a start, it's beneficial to explicitly define the 'literal_column' if it differs from the dimension's expression or if precision is critical. Option E is incorrect because is a configuration for a 'dimension', not a 'metric'.