Your data assets live in BigQuery, Pub/Sub, and PostgreSQL on Compute Engine. You need better data discoverability with minimal dev/config effort. What cataloging strategy do you choose?
Choose an answer
Tap an option to check your answer.
Correct answer: Use Data Catalog to automatically catalog BigQuery datasets and Pub/Sub topics. Use custom connectors to manually catalog PostgreSQL tables..
Why this is the answer
Google Cloud Data Catalog automatically catalogs BigQuery datasets and Pub/Sub topics, providing excellent discoverability with minimal effort for these native GCP services. For PostgreSQL on Compute Engine, which is not automatically ingested by Data Catalog, custom connectors are the appropriate solution. These connectors allow you to extract metadata from the PostgreSQL database and push it into Data Catalog, enabling discoverability for your relational data. Manually using Data Catalog APIs for PostgreSQL would be more labor-intensive than a custom connector, which can be designed for recurring metadata extraction. Using custom connectors for all data sources would negate the automatic cataloging benefits of Data Catalog for BigQuery and Pub/Sub.
Pass your exam — without the endless answer hunt
Get every verified question and explanation for this exam in one place, and save hours of prep. 1,000+ certifications · 20+ languages · free to start.
Pass your exam faster → No card needed