Azure Data Scientists Associate Practice Exam

What should you do if you want to use the latest deployment in a batch endpoint?

1. Specify the latest version in the request.

2. Invoke the endpoint without any model indication.

3. Update the existing endpoint configuration.

4. Create a new batch endpoint for the latest model.

The correct answer is: Invoke the endpoint without any model indication.

Invoking the endpoint without any model indication is the correct approach when you want to use the latest deployment in a batch endpoint because Azure Machine Learning is designed to automatically route requests to the most recent deployment unless otherwise specified. This feature simplifies the process for users who want to ensure they are consistently using the latest model version without needing to explicitly state which version to use in each request. This is particularly beneficial in environments where models are frequently updated or when rapid iteration is required. By simply invoking the endpoint, you leverage the automatic model management feature of Azure Machine Learning, ensuring that your requests are handled with the latest available model deployment. Other options involve either specifying a version or modifying the endpoint or creating a new one, which isn't necessary when the goal is to utilize the latest version by default. The design of the service inherently supports the ability to call the latest model without complicating the request process.