Q: 13
You have a BigQuery table that contains customer data, including sensitive information such as
names and addresses. You need to share the customer data with your data analytics and consumer
support teams securely. The data analytics team needs to access the data of all the customers, but
must not be able to access the sensitive dat
a. The consumer support team needs access to all data columns, but must not be able to access
customers that no longer have active contracts. You enforced these requirements by using an
authorized dataset and policy tags After implementing these steps, the data analytics team reports
that they still have access to the sensitive columns. You need to ensure that the data analytics team
does not have access to restricted data What should you do?
Choose 2 answers
Options
Discussion
Had something like this in a mock. B and C are right since policy tags need to be set up with the right access controls, and you don't want analytics folks having the Fine-Grained Reader role for sensitive columns. Always double check the Data Catalog permissions too. Pretty sure that's it but open to other takes if I missed anything.
Nah, I think B and C. D's a trap since removing dataViewer isn't enough if policy tags aren't enforced.
Probably B and C, matches what I saw in similar practice sets. Super clear options here.
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