What characterizes the process of concatenating tables?

The process of concatenating tables in Qlik Sense is characterized by combining data sets that share common fields and dimensions. When tables are concatenated, particularly in a star schema environment, it's crucial that the common fields are populated consistently across the tables to maintain data integrity and make the resulting data model effective for analysis. By ensuring that common fields are 100% populated, analysts can use these shared dimensions for accurate aggregation and reporting.

Creating a cohesive data model where shared dimensions are fully populated allows for seamless integration of data across the tables. This leads to more effective interaction within the Qlik Sense application, enabling users to derive insights from a consolidated view of data.

The other options don't accurately capture the essence of table concatenation. Combining unrelated datasets does not typically involve concatenation, as it suggests a lack of shared context, while selecting only non-active fields focuses on field usage rather than the relationships between tables. Excluding duplicate entries is more related to data cleaning processes rather than the act of concatenating tables, which can retain duplicate entries if they exist in the original data sets. Thus, the focus on fully populated common fields in shared dimensions directly ties into the concept of effective concatenation of tables.