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Answer: Assign each client's data to a distinct dataset., Limit dataset access to authorized users only., Implement suitable IAM roles for users of each client.
To ensure data security and appropriate access in Google BigQuery for multiple clients, the following steps are essential: - **Assign each client's data to a distinct dataset (B):** This creates a logical separation between clients' data. - **Limit dataset access to authorized users only (D):** Prevents unauthorized access to datasets. - **Implement suitable IAM roles for users of each client (F):** Ensures users have the necessary permissions to access their data without compromising other clients' data. Options A, C, and E do not provide the necessary level of data isolation or access control required for this scenario.
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Your company manages data processing for various clients, each preferring their own analytics tools, with some allowing direct query access via Google BigQuery. To secure the data ensuring clients cannot view each other's data while maintaining appropriate access, which three steps should you implement? (Select three.)
A
Utilize different partitions for data loading.
B
Assign each client's data to a distinct dataset.
C
Place each client's BigQuery data in separate tables.
D
Limit dataset access to authorized users only.
E
Restrict dataset access exclusively to a service account.
F
Implement suitable IAM roles for users of each client.
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