Which of the following is not a use case for Azure Blob Storage?

Azure Blob Storage is specifically designed for storing large amounts of unstructured data, such as text or binary data, which makes it suitable for a variety of use cases including streaming video or audio, storing files, and data backup and archival.

Streaming video or audio is supported as Blob Storage can efficiently deliver large media files. Storing files is a fundamental use of Blob Storage as it effectively handles various types of files ranging from documents to images. Data backup and archival is another critical use, as it allows for durable and cost-effective storage solutions for data preservation.

In contrast, running machine learning models typically requires additional components and services that go beyond simple data storage. Machine learning models often need computational power, specific frameworks, and environments for training and inferencing, which are not provided directly by Blob Storage. Instead, other Azure services like Azure Machine Learning are designed specifically to handle the requirements of machine learning tasks, making it the choice that does not align with the direct use cases of Azure Blob Storage.