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Answer: Establish workspace-level isolation by providing individual workspaces for each team, secured with Azure Active Directory groups.
Establishing workspace-level isolation with individual workspaces for each team, secured by Azure Active Directory groups, is the most effective approach. This method ensures that each team operates in its own isolated environment, significantly reducing the risk of unauthorized access to sensitive datasets by other teams. While fine-grained access control and data governance tools like Azure Purview are beneficial, they do not offer the same level of isolation. Open access with post-factum auditing is not a proactive security measure and fails to prevent unauthorized access initially.
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In a multi-tenant Azure Databricks environment, data scientists work with sensitive datasets. What is the best strategy to ensure data security and compliance while fostering collaboration?
A
Utilize Azure Purview for data classification and governance, integrating with Databricks via Unity Catalog for access control.
B
Allow open access within Databricks, relying on Azure Monitor logs for activity auditing after the fact.
C
Apply fine-grained access controls on notebooks and datasets using Databricks SQL Analytics permissions.
D
Establish workspace-level isolation by providing individual workspaces for each team, secured with Azure Active Directory groups.