Comprehensive and Detailed Explanation:

The validity of a dataset in Talend's Trust Score™ framework is determined by:

Number of valid and invalid values across the dataset sample (Option B):

This metric assesses the quality of the data by evaluating the proportion of valid entries compared to

invalid ones. A higher number of valid values indicates better data quality.

Use of semantic types across the dataset sample (Option C):

Semantic types help in understanding the meaning and context of data fields. Consistent and correct

application of semantic types ensures that data is interpreted accurately, contributing to its validity.

Why not other options?

Option A: User ratings and certification pertain to the popularity axis, reflecting user trust and

endorsement, not the intrinsic validity of the data.

Option D: The number of empty rows relates to the completeness axis, indicating missing data,

rather than directly affecting validity.

Reference: Talend Cloud Data Inventory User Guide