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Answer: Create a dynamic view with SQL transformations to mask specific columns based on user roles.
Dynamic views with SQL transformations allow for flexible and role-based data masking. This ensures that sensitive information is protected for non-admin users while still providing access to necessary data for authorized users.
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You are responsible for securing a Databricks cluster that processes log data. The data includes user actions, timestamps, and IP addresses. Describe how you would create a dynamic view to mask IP addresses and redact sensitive user actions for users who do not have the 'Admin' role.
A
Disable access to the cluster for non-admin users.
B
Create a dynamic view with SQL transformations to mask specific columns based on user roles.
C
Encrypt the data at rest and in transit.
D
Use static views with predefined masking rules.
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