Which method is used to link two tables based on mutual key values?

The correct choice is Data Fusion. This method is designed for integrating and linking data from multiple sources, specifically based on common key values shared between tables. When two tables have a mutual key, Data Fusion effectively merges the data into a unified view, allowing users to analyze information across these tables comprehensively.

Data Fusion leverages the relational aspects of the data, ensuring that when there is a matching key, the relevant data points from both tables are combined. This capability is essential for creating comprehensive reports and analyses that draw from various datasets, providing deeper insights and a more holistic understanding of the information being studied.

Other methods mentioned, such as Calculated Dimensions and Data Classification, serve different purposes in data handling and analysis. Calculated Dimensions are more about creating new dimensions by combining existing data or applying formulas, rather than linking tables. Data Classification refers to the organization of data based on specified criteria and does not involve linking tables directly. VLOOKUP, while a useful function in spreadsheet applications for finding values based on keys, is not the standard method utilized within a comprehensive data processing context such as in Marketing Cloud Intelligence for linking entire tables.