Hi @Arun Kumar
Thanks for the question and using MS Q&A platform.
Azure Databricks offers several types of services that can be used for different purposes, such as data engineering, data science, and machine learning. The type of service you need depends on your specific requirements and use case.
To determine which services are best suited for your implementation and to optimize your costs, I recommend reviewing the Azure Databricks documentation on service tiers and pricing. You can also reach out to Azure support for guidance on selecting the appropriate services for your implementation. Azure support can provide you with a list of services required for your implementation based on your specific requirements.
Here are some links to Azure Databricks documentation that may be helpful:
Regarding your question about alternatives to serverless inferencing, you can consider using Azure Functions or Azure Machine Learning for running serverless workloads. These services offer a pay-as-you-go pricing model and can help reduce costs for sporadic workloads. You can also consider using standard or serverless clusters in Azure Databricks with auto-scaling enabled to reduce costs for ad-hoc workloads.
Please refer the below docs that might be helpful:
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