Configuring who can use a compute resource
Access to Azure Databricks compute (clusters) is managed through cluster-level permissions that determine who can attach to, restart, or manage a given cluster. These permissions require cluster access control (Premium tier or above) to be enabled and are configured via the cluster's Permissions tab or the Permissions API, assigning access to users, groups, or service principals.
1 · Learn the must-know
- Cluster access control is only available on the Premium plan (or higher); on Standard tier, all users with cluster-create rights can manage all clusters.
- Permission levels for clusters are hierarchical: Can Attach To (use only), Can Restart (use + restart), and Can Manage (full control including permission changes and termination).
- Workspace admins always have Can Manage on every cluster regardless of explicitly assigned permissions.
- Only a user with Can Manage permission (or an admin) can modify a cluster's permissions or delete it.
- Cluster policies can also carry their own permissions (Can Use), controlling who is allowed to create clusters based on that policy, independent of individual cluster permissions.
- If no explicit permissions are granted on a cluster, by default only its creator and workspace admins can use or manage it.
2 · Check your understanding
A workspace admin wants a group of data analysts to be able to run notebooks on an existing all-purpose cluster during business hours, but the analysts should not be able to stop the cluster, restart it, or change its configuration. Which cluster permission level satisfies this requirement?
What you have tried across DP-750's objectives, not a readiness score.
Set up and configure an Azure Databricks environment15-20% of the exam0 of 13 tried
Secure and govern Unity Catalog objects15-20% of the exam0 of 12 tried
Prepare and process data30-35% of the exam0 of 28 tried
Deploy and maintain data pipelines and workloads30-35% of the exam0 of 24 tried
3 · Keep going
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