A bank wants one set of completeness and validity checks applied to customer tables in several BigQuery datasets, with the results reported to a central place where data stewards can review them. Which Dataplex capability fits?
Show answer and explanation
Answer: C
Dataplex data quality lets you define rules such as non-null checks, range checks and pattern checks, then run scans against tables in many datasets. Results include pass rates and scores that stewards can review centrally. Discovery and IAM are useful supporting features, but they do not evaluate the content of the data. Network firewall rules control connectivity rather than data quality.
Why the other options are wrong
- A. Discovery catalogs what exists and profiles schemas, but it does not test whether values meet a standard. The bank needs measured quality results, which discovery alone does not produce.
- B. IAM controls who can see or change resources. It has no way to check the completeness or validity of rows, so stewards would still have no quality scores.
- D. Firewall rules govern network traffic to resources. They do not examine the contents of any table and cannot produce data quality scores.