GCP Professional Data Engineer Practice Question

Your organization has dozens of Cloud Storage buckets that hold raw log files and multiple BigQuery projects that contain curated analytics tables. Different business units own the data, but the CDO mandates that data stewards must be able to locate any dataset through a single search interface, add business-glossary tags, and apply column-level IAM policies-all without moving the data or writing or maintaining custom crawler code. Which approach meets the mandate with the least operational overhead?

Deploy Cloud Functions that call the Data Catalog API to crawl every bucket and dataset and populate custom tag entries and taxonomies.
Schedule Cloud Asset Inventory exports to BigQuery each night and build a custom metadata portal in Looker based on the exported tables.
Copy all BigQuery datasets into a single central project and use INFORMATION_SCHEMA views as the enterprise metadata catalog.
Create a Dataplex lake, define separate zones for each business unit, and add every Cloud Storage bucket and BigQuery dataset as Dataplex assets so the Dataplex Catalog provides unified discovery and governance.

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Answer Description

Registering existing buckets and BigQuery datasets as assets in a Dataplex lake lets Dataplex automatically harvest technical metadata and surface it through the Dataplex Catalog, giving data stewards a single search experience. Because Dataplex stores its metadata in Data Catalog, stewards can attach business-glossary information by applying Data Catalog tag templates without additional integration work. Column-level IAM policies remain managed natively in BigQuery, so no extra tooling or data movement is required. The alternatives either introduce custom pipelines (Cloud Functions), require building and operating a separate metadata portal (Cloud Asset Inventory with Looker), or mandate physically consolidating data and relying on INFORMATION_SCHEMA views, none of which offers the same out-of-the-box discovery and tagging with such low operational overhead.

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