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Google Associate Data Practitioner Exam - Topic 3 Question 22 Discussion

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?
B) Create a private exchange using Analytics Hub with data egress restriction, and grant access to the team members.
A) Create authorized views in the team's Google Cloud project that is only accessible by the team.
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.

Google Associate Data Practitioner Exam - Topic 3 Question 22 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 22
Topic #: 3
[All Associate Data Practitioner Questions]

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 dat

a. 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?

Show Suggested Answer Hide Answer
Suggested Answer: B

Using Analytics Hub to create a private exchange with data egress restrictions ensures controlled sharing of the dataset while minimizing the risk of unauthorized copying. This approach allows you to provide secure, managed access to the dataset without giving direct access to the raw data. The egress restriction ensures that data cannot be exported or copied outside the designated boundaries. Additionally, this solution provides a reusable framework that simplifies future data sharing with other teams or projects while maintaining strict data governance.

Extract from Google Documentation: From 'Analytics Hub Overview' (https://cloud.google.com/analytics-hub/docs): 'Analytics Hub enables secure, controlled data sharing with private exchanges. Combine with organization policies like restrictDataEgress to prevent data copying, providing a reusable framework for sharing BigQuery datasets across teams.' Reference: Google Cloud Documentation - 'Analytics Hub' (https://cloud.google.com/analytics-hub).


Contribute your Thoughts:

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Annette
25 minutes ago
I’m leaning towards C. Domain restricted sharing is straightforward.
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Lorean
5 days ago
I agree, but option A sounds good too. Authorized views are useful.
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Earleen
10 days ago
I think option B is the best. It keeps data secure.
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Lizbeth
16 days ago
D is a hard pass for me, way too risky!
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Myrtie
21 days ago
C seems like a solid choice for quick access.
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Corinne
26 days ago
Wait, can we really restrict data egress with Analytics Hub?
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Royce
2 months ago
A is good too, but not as flexible for future use.
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Lynette
3 months ago
I think option B is the best for security.
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Daniel
3 months ago
Exporting to Cloud Storage feels risky since it could lead to unauthorized copies, right? I’d avoid that option.
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Lorriane
3 months ago
Enabling domain restricted sharing seems like a good way to limit access, but I’m not clear on how it works with IAM roles.
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Billye
4 months ago
I think option B sounds familiar; we practiced a similar question about using Analytics Hub for data sharing.
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Colton
4 months ago
I remember we discussed authorized views in class, but I'm not sure if they fully prevent data copying.
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