GES-C01 Exam Dumps | A data engineer is tasked with defining a semantic model for Cortex Analyst to enable natural language

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Question 99/171

A data engineer is tasked with defining a semantic model for Cortex Analyst to enable natural language queries over sales dat a. They are creating a YAML file to describe the logical structure. Which of the following statements correctly describe the configuration of this semantic model? (Select all that apply)

A. The 'tables' section must define logical tables that directly map to Snowflake physical tables or views, with 'base_table' specifying the fully qualified name (database, schema, table).

B. Dimensions such as 'product_category' can include a configuration, which can specify an optional 'literal_column' that, if omitted, defaults to the search index column.

C. The 'VARIANT data type is a supported data type for columns defined as 'dimensions' or 'facts' within the semantic model, allowing flexible storage of complex attributes.

D. To ensure high accuracy for specific common questions, 'verified_querieS can be included, where the 'sqr field must reference the underlying physical table and column names (ee.g., not the logical names defined in the semantic model.

E. A 'metric' like 'total_revenue' can be defined using an 'expr' that references other logical columns, such as 'sum(profity from a logical 'sales_data' table, within the semantic model.

Correct Answer: A,B,E

Option A is correct. A logical table, a foundational concept of Snowflake's semantic model, represents either a physical database table or a view and its 'base_table' field specifies the fully qualified name of the underlying physical table. Option B is correct. Dimensions can specify a block to integrate with Cortex Search, and the 'literal_column' field within this block is optional and defaults to the search index. Option C is incorrect. The 'VARIANT, 'OBJECT, GEOGRAPHY' , and 'ARRAY' data types are explicitly not supported for dimensions, time dimensions, or facts within a semantic model. Option D is incorrect. Verified queries must use the names of the logical tables and columns as defined in the semantic model, not those in the underlying physical dataset. For example, sales_data' for a logical table named 'sales_data'. Option E is correct. Metrics can be defined using an SQL expression ('expr') that can reference logical columns (facts, dimensions, or time dimensions) within the same logical table or from another logical table in the semantic model.

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