google · Associate-Data-Practitioner · Q425 · multiple_choice · topic_1

Another team in your organization is requesting access to a BigQuery dataset. You need to share the dataset with the te…

Another team in your organization is requesting access to a BigQuery dataset. You need to share the dataset with the team while minimizing the risk of unauthorized copying of data. You also want to create a reusable framework in case you need to share this data with other teams in the future. What should you do?

A.Create authorized views in the team’s Google Cloud project that is only accessible by the team.
B.Create a private exchange using Analytics Hub with data egress restriction, and grant access to the team members.
C.Enable domain restricted sharing on the project. Grant the team members the BigQuery Data Viewer IAM role on the dataset.
D.Export the dataset to a Cloud Storage bucket in the team’s Google Cloud project that is only accessible by the team.

Explanation

Selected Answer: A While Analytics Hub (Option B) is a powerful data sharing platform, Authorized Views (Option A) are the superior choice for this specific scenario of sharing a BigQuery dataset with another internal team while prioritizing minimizing unauthorized copying and ease of implementation. Authorized Views are simpler, more secure against data copying for internal use cases, easier to implement, and more cost-effective for this particular need. I think it could be B or A, but I believe that analytics hub is mainly for sharing with an outside organization userbase.

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