Data profiling rules are often applied row by row to assess data quality. In this scenario:
Each row represents one record (e.g., one customer, one user).
The email rule checks whether each email field conforms to a specified pattern/format (e.g., contains @, valid domain, no illegal characters).
The result described in the question is:
This corresponds to “rows passed” — i.e., the number of rows that passed the data quality check.
Why the other options are incorrect:
Columns passed (A): Would refer to how many columns/fields in the dataset passed a profiling rule, which is not what's described (the rule is applied to one column: email).
Rows failed (C): Would be the count of records that did not conform, which is the opposite of what’s stated (“conformed to the rule”).
Columns failed (D): Again, column-level evaluation, not row-level.
Therefore, the returned value is best described as Rows passed (B).
CompTIA Data+ Reference (concept alignment):
DA0-001 Exam Objectives – Domain: Data Quality (profiling data and interpreting pass/fail metrics).
CompTIA Data+ Official Study Guide – sections on data profiling metrics and the distinction between row-level and column-level quality checks.
