GCP Professional Data Engineer Practice Question

Your company subscribes to an external healthcare benchmark dataset through BigQuery Analytics Hub. You have built a Looker Studio dashboard that joins the linked dataset with your internal patient‐outcome tables. Compliance rules prohibit you from granting the external data provider any access to your BigQuery project or tables, but business stakeholders want to give the provider view-only access to the finalized dashboard so they can compare performance. What is the most efficient way to let the provider see the dashboard while keeping your BigQuery resources private and avoiding data duplication?

  • Create a new GCP project, copy the linked dataset and internal tables there, grant the provider BigQuery read access, and rebuild the dashboard in that project.

  • Export the dashboard data to CSV files in Cloud Storage and give the provider read access to the bucket instead of sharing the report.

  • Grant the provider's Google group the BigQuery Data Viewer role on both the linked dataset and your internal datasets, and share the dashboard.

  • Configure the Looker Studio data sources to use the report owner's credentials, then share the dashboard with the provider as view-only; do not grant the provider any BigQuery IAM roles.

GCP Professional Data Engineer
Preparing and using data for analysis
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot