Azure Data Scientists Associate Practice Exam

If multiple models are deployed to a batch endpoint and no specific model is indicated, which model will do the actual batch scoring?

1. The latest version of the deployed model.

2. The latest deployed model.

3. The default deployed model.

4. The first deployed model.

The correct answer is: The default deployed model.

When multiple models are deployed to a batch endpoint in Azure, and no specific model is indicated for scoring, the system defaults to the designated default model for that endpoint. This model is explicitly marked during deployment as the one to be used when a specific model isn’t referenced in the request. The default model facilitates a predictable scoring behavior, especially important in scenarios where users expect consistent results without needing to specify a model every time. It simplifies the user experience by removing uncertainty about which model will be used to process requests when multiple models are present. The other options do not capture this concept accurately. The latest version of a deployed model or the latest deployed model may change over time, potentially leading to unpredictable results if the model used can fluctuate. Similarly, the first deployed model does not guarantee consistency across requests, as it may not have been marked as the default, and new models could be integrated after it. Thus, the system’s reliance on a default model ensures stable and consistent outcomes for batch scoring.