Google Professional Data Engineer

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Explanation:

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.

Explanation:

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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Real Exam

Utilize different partitions for data loading.

1.8%

Assign each client's data to a distinct dataset.

41.1%

Place each client's BigQuery data in separate tables.

1.8%

Limit dataset access to authorized users only.

39.3%

Restrict dataset access exclusively to a service account.

16.1%

Implement suitable IAM roles for users of each client.