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Use of Azure Databricks CLI

paromita ghosh 0 Reputation points
2025-04-17T09:09:58.0266667+00:00

We have Azure Databricks configured in Azure platform and we want to use Datasbricks CLI. It will be installed on user devices and allows them to work with Databricks. Generally when someone has access to a Databricks workspace, has been authenticated by Entra Id, has been checked against a Conditional Access Policy, has been onboarded to a workspace via SCIM and there is a log trail for all of this. There is a good IAAA chain here. Does the Databricks CLI circumvent any of this?

Azure Databricks
Azure Databricks
An Apache Spark-based analytics platform optimized for Azure.
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  1. Smaran Thoomu 22,840 Reputation points Microsoft External Staff
    2025-04-17T14:19:38.79+00:00

    Hi @paromita ghosh
    When using the Azure Databricks CLI, it’s important to understand how it interacts with the security and authentication mechanisms in place within the Azure Databricks environment. Let’s address your query regarding the use of the Databricks CLI and its impact on security:

    Authentication and Access Control:

    Azure Databricks enforces robust authentication and access control to ensure users are properly authenticated and authorized to access the Databricks workspace. This includes:

    • Authentication via Azure Active Directory (Azure AD).

    Application of Conditional Access Policies.

    User onboarding via SCIM (System for Cross-domain Identity Management).

    Users accessing the Databricks workspace through the CLI must have the necessary permissions and access rights granted via these authentication and authorization processes.

    Databricks CLI Functionality:

    The Databricks CLI is a command-line interface tool that allows users to interact with Databricks workspaces, manage clusters, perform data engineering tasks, and execute jobs. The CLI operates under the same permissions and access rights assigned to the user in the Databricks workspace.

    It does not bypass any authentication or access control mechanisms that are configured in the workspace.

    Security and Audit Trail:

    All actions performed through the Databricks CLI are logged and auditable within the Databricks workspace. This ensures that there is a traceable log of user activities, including commands executed and changes made using the CLI.

    The security and audit trail maintained by Azure Databricks helps preserve the integrity of the Identity, Authentication, Authorization, and Audit (IAAA) chain, providing visibility into all user interactions with the workspace.

    In summary, the Databricks CLI does not circumvent any security measures implemented within Azure Databricks. Users interacting with the workspace via the CLI are still subject to the same authentication, access control, and audit trail mechanisms, ensuring a secure and traceable environment for data processing and analytics tasks.

    If you have specific concerns or need further clarification on the use of the Databricks CLI within your environment, feel free to provide additional details so I can offer a more tailored response.

    I hope this explanation helps clarify how the Databricks CLI interacts with security protocols. Let me know if you have any further questions!

    If this answers your query, do click Accept Answer and Yes for was this answer helpful. And, if you have any further query do let us know.

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