The VM size you are specifying is not available. [details] QuotaExceeded: Operation could not be completed as it results in exceeding approved Total Regional Cores quota. Additional details - Deployment Model: Resource Manager, Location: CentralIndia, Cur

Rathnasree Kalkura 20 Reputation points
2025-06-19T19:08:59.48+00:00

I'm trying to create cluster in Azure databricks, I check different regions and with different memory and core sizes but all i see is SKU errors or (The VM size you are specifying is not available. [details] QuotaExceeded: Operation could not be completed as it results in exceeding approved Total Regional Cores quota. Additional details - Deployment Model: Resource Manager, Location: CentralIndia, Current Limit: 4, Current Usage: 4, Additional Required: 8, (Minimum) New Limit Required: 12. Setup Alerts when Quota reaches threshold).

I'm not sure what is going wrong this is first time I'm doing handson in Azure. Would be pleased if anyone knows answer. Thanks.

Also, how can I edit the regions in my storage, resource group and all services under it without how to delete everything and start from scratch, I tried moving option but it doesn't always work.

Thank you

Azure Databricks
Azure Databricks

An Apache Spark-based analytics platform optimized for Azure.


Answer accepted by question author
Chandra Boorla 15,480 Reputation points Microsoft External Staff Moderator
2025-06-19T20:06:26.28+00:00

@Rathnasree Kalkura

Thanks for the clarification. Since you're using a free Azure subscription, that explains why you're hitting the core quota limits and are unable to request a quota increase, free-tier subscriptions come with strict limits (typically 4 vCPUs per region), and quota increase requests are not allowed under this plan.

Here are a few options you can consider:

Option 1 - Use a Paid (Pay-As-You-Go) Subscription

To lift the quota limits and request increases, you'll need to upgrade your subscription to a Pay-As-You-Go model. Once upgraded, you can:

  • Request more vCPUs.
  • Access a wider range of VM SKUs.
  • Deploy larger Databricks clusters.

To upgrade: Go to Subscriptions in Azure Portal → Select your subscription → Click "Upgrade".

Option 2 - Try a Different Region and Smaller Cluster

Some VM sizes are more available in other regions. You can:

  • Try regions like East US, West Europe, or Southeast Asia.
  • Use a smaller VM SKU (e.g., Standard_DS1_v2 or Standard_B2s) that fits within the 4-core limit.

However, for Databricks, most clusters require more than 4 cores, so this may still be limiting.

Option 3 - Use Free Tier Services for Learning

If you’re just exploring or doing hands-on learning:

  • You can try Azure Machine Learning Notebooks, Azure Synapse Studio, or Visual Studio Code with Azure SDKs, which work with lower resources.
  • Or try Databricks Community Edition (outside of Azure) for initial learning: https://community.cloud.databricks.com

I hope this information helps.

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