Google Cloud Professional Data Engineer Exam 2025 – 400 Free Practice Questions to Pass the Exam

Google Cloud's Data Catalog serves as a metadata management service, which is essential for organizations to efficiently discover, manage, and utilize their data assets. It provides a centralized repository where users can organize metadata about datasets, data pipelines, tables, and other data sources. This service facilitates the understanding of data inventory and helps users find relevant data more easily, improving collaboration among teams and optimizing data usage.

By acting as a comprehensive metadata management solution, Data Catalog enables features such as data discovery, lineage tracking, and tagging, all of which contribute to better governance, data quality, and compliance. As a result, organizations can derive greater insights and leverage their data more effectively.

The other options address different functionalities that are not the primary purpose of Data Catalog. Compiling user data profiles relates to user management, managing access to documents pertains primarily to security measures rather than metadata management, and monitoring application performance is about system health, which does not involve metadata management in the context typical to the Data Catalog.