How to Resolve Azure Quota Exceeded Exception on Databricks Cluster

Azure quota errors can occur when deploying resources that exceed the predefined limits set for various resources such as vCPUs, cores, or specific resource types within Azure. These errors are triggered when the deployment attempts to exceed the allocated quota for a particular region, subscription, or resource group. The error messages typically indicate the specific resource type, the current usage, the maximum allowed limit, and any additional resources requested. To resolve these quota errors, users can request a quota increase through the Azure portal by filing a support issue. This process involves specifying the region where the resources will be deployed and requesting an increase in the quota for the affected resource type. It is essential to ensure that the requested quota aligns with the deployment requirements and complies with the Azure subscription limits. Additionally, users can check their resource usage and quotas through the Azure portal under "Usage + quotas" to monitor and manage resource allocations effectively.
Citations:
[1] learn.microsoft.com/en-us/azu...
[2] learn.microsoft.com/en-us/ans...
[3] • How to Resolve Azure Q...
[4] learn.microsoft.com/en-us/tro...
[5] learn.microsoft.com/en-us/ans...
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[@Rutuja-jaanhavi]

very helpful, some adjustment ideas worked