An Apache Spark-based analytics platform optimized for Azure.
The error indicates that the Azure subscription (a free trial) has reached the regional core quota for the requested VM size in Central India, so Databricks cannot allocate the workers needed for the notebook cluster.
In a free trial, the Total Regional Cores quota is very low (in this case, limit 4, but the requested cluster needs 8). To resolve this:
- Check current quotas in the Azure portal
Go to the Usage and quotas / Quotas experience for the subscription and verify the Total Regional Cores and VM-family-specific core quotas in Central India. - Request a quota increase
Use the quota request flow in the Azure portal (Help + support → Create a support request → Issue type: Service and subscription limits (quotas) → select the subscription and region → choose the relevant compute quota) and request at least the Minimum New Limit Required shown in the error (8 cores in Central India).
For Databricks serverless scenarios, the documented pattern is similar: in Help + support, set:- Summary:
quota - Issue type:
Service and subscription limits (quotas) - Subscription: the affected subscription
- Quota type:
Azure Databricks Serverless(for serverless) and then specify the region and requested DBUs/hour.
- Summary:
- If quota cannot be increased on a free trial
If the free trial subscription does not allow increasing the regional core quota to the required level, either:- Use a smaller Databricks cluster configuration that fits within the existing core quota (for example, fewer workers or smaller VM size), or
- Move to a pay-as-you-go or other non-trial subscription and request higher quotas there.
- General quota behavior
Azure quotas are per-subscription and per-region, and they act as credit limits, not capacity guarantees. For larger workloads, quota increases must be requested explicitly for each subscription and region used.
References: