3.4 Designing for a Data Platform PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   A data engineer needs to understand how a data field was transformed from its source to its final reporting table. Which capability should they use to trace this data flow?

   • AData masking
   • BData quality
   • CData lineage
   • DData cataloging
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   A data platform needs to restrict access to specific columns in a BigQuery table so that only authorized users can see sensitive information like email addresses. Which BigQuery feature enables this fine-grained control?

   • AColumn-level security
   • BIAM roles
   • CRow-level security
   • DData masking
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A large enterprise uses Dataplex to manage data across multiple Google Cloud projects. The data science team wants to search for all datasets containing customer information, including those stored in BigQuery and Cloud Storage, and view their business definitions. What should you use?

   • AData Catalog API to search only BigQuery tables.
   • BCloud Asset Inventory to list all resources.
   • CDataplex Catalog to search for assets and view metadata.
   • DBigQuery Information Schema to query table metadata.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   A data analyst wants to search for datasets that contain customer information across the organization. They need to find both technical metadata (like schema) and business metadata (like data owner and description). Which Dataplex component provides this searchable metadata catalog?

   • ADataplex Catalog
   • BDataplex Zone
   • CDataplex Data Quality
   • DDataplex Lake
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A multinational corporation is adopting a federated data governance model. Each business unit (e.g., Finance, Marketing, HR) manages its own data in separate Google Cloud projects. Central IT must enforce a uniform data classification policy (e.g., public, internal, confidential) across all projects, while allowing each business unit to define its own fine-grained access rules for its datasets. What should you do?

   • ACreate a Dataplex lake in each project and apply the classification policy as a tag template in each lake.
   • BCreate a single Dataplex lake in a central project and attach all business-unit projects as data zones.
   • CGrant each business unit Owner role on the central project and ask them to apply the classification policy manually.
   • DUse VPC Service Controls perimeters to isolate each business unit and enforce the classification policy via network boundaries.
   Reveal Solution Discussion Select an answer first