Given the table SALES which has a clustering key of column CLOSED_DATE, which table function will return the average clustering depth for the SALES_REPRESENTATIVE column for the North American region?

Question

Options

• Aselect system$clustering_information('Sales', 'sales_representative', 'region = ''North America''');
• Bselect system$clustering_depth('Sales', 'sales_representative', 'region = ''North America''');
• Cselect system$clustering_depth('Sales', 'sales_representative') where region = 'North America';
• Dselect system$clustering_information('Sales', 'sales_representative') where region = 'North

• A
  3% (1)
• B
  92% (35)
• C
  5% (2)

Explanation

system$clustering_depth is the correct function because it specifically returns the average clustering depth for given columns - exactly what the question asks for. It accepts the table name, column(s), and an optional filter predicate as its third argument, making 'region = ''North America''' the correct way to scope the result to that region.

Why the distractors fail:

• A uses system$clustering_information, which returns a JSON object containing multiple clustering metrics (not just average depth), so it answers a different question even though the syntax is otherwise valid.
• C has the right function name but wrong syntax - you cannot append a WHERE clause to a scalar function call like that; the region filter must be passed as the third string argument inside the function.
• D has both problems: it uses system$clustering_information (wrong function) and misuses WHERE as a clause outside the function (wrong syntax), and the option is even truncated.

Memory tip: Think of it as depth = one number (clustering_depth) vs. information = a report (clustering_information). When the exam asks for a single metric like "average depth," reach for system$clustering_depth. Also remember: filters go inside the function as a third argument, never as a trailing WHERE clause.

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