DP-750 Certification Practice Question #3

Question

Your Unity Catalog-enabled Azure Databricks workspace runs a mix of workloads. The platform team has set a standard that all interactive notebook clusters must:

- Be Unity Catalog-compliant.
- Allow multiple analysts to share a single cluster and concurrently run isolated Python and SQL workloads, with Lakeguard user workload isolation.
- Follow the Databricks-recommended default access mode for general workloads.

A separate data science team needs a cluster running Databricks Runtime 15.4 LTS ML so they can use RDD APIs and an R-based library that is not supported by the standard team cluster.

You are configuring the access mode for the shared analyst cluster (not the data science cluster). Which access mode should you select for the shared analyst cluster?

Accepted Answer

Databricks recommends standard access mode as the default for all workloads, and it is Unity Catalog-compliant. Standard access mode lets any user with CAN ATTACH TO permission share the cluster and run concurrent, isolated workloads via Lakeguard, which matches the shared analyst requirement. Dedicated access mode is reserved for cases that standard access mode does not support — such as RDD APIs, R, and Databricks Runtime ML — which is exactly why the separate data science team needs it, not the shared analyst cluster. No isolation shared access mode is not Unity Catalog-compliant, and credential passthrough is archived and unsupported by SQL warehouses and modern UC compute.

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