Scenario: You are building a data mesh on Google gcp video
data-engineer-pro video for scenario: You are building a data mesh on Google Cloud with multiple distinct data engineering teams responsible for different data
Full Certification Question
Scenario: You are building a data mesh on Google Cloud with multiple distinct data engineering teams responsible for different data products. The typical data curation pattern involves landing files in Cloud Storage, transforming raw data in Cloud Storage and BigQuery datasets, and storing the final curated data product in BigQuery datasets. You need to configure Dataplex to ensure each team only has access to the assets required for their specific data products while also allowing teams to easily share the curated data product. Question: What should you do to set up Dataplex in a way that ensures proper access control for each team while facilitating the sharing of the curated data product?