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GCP Professional Data Engineer Practice Question

Your organization is adopting Dataplex to unify governance across its Google Cloud data estate. Three business domains (Sales, Marketing, and Finance) will ingest raw data into domain-owned buckets, transform it in Dataproc, and publish cleaned datasets in BigQuery. In addition, several enterprise reference tables (for example, country codes and fiscal calendars) must be discoverable and consistently governed by a central data-governance team while remaining accessible to all domains without duplicating the data. Which Dataplex design best satisfies these requirements and aligns with the lake → zone → asset hierarchy?

  • Create a separate Enterprise lake managed by the governance team that contains a single curated zone with the reference datasets as assets, and keep raw and curated zones inside each domain lake for domain-specific data.

  • Within each domain lake, define three zones (raw, reference, curated) and bulk-replicate the reference datasets into the reference zone of every lake so each team can manage its own copy.

  • Add the reference datasets as additional assets inside the curated zone of every domain lake and rely on Dataplex asset sharing to grant cross-domain access.

  • Store the reference datasets in a Cloud Storage bucket that is not registered with Dataplex and let each domain lake create external tables pointing to that bucket for queries.

GCP Professional Data Engineer
Storing the data
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