You have an Azure Synapse Analytics workspace that is connected to a data lake. You train an Open Neural Network Exchange (ONNX) model named Model1. You need to implement Model1. What should you do…

OPENJSON() is used for parsing JSON text, not for scoring machine learning models like ONNX models.

While ONNX models can be stored as binary data, simply loading the model into a binary variable doesn't implement or score it; it just holds the model's content.

Loading an ONNX model into a character variable is not the correct way to implement or score it, as ONNX models are typically binary files.

In Azure Synapse Analytics, the PREDICT() function is specifically designed to consume and score ONNX models directly within SQL, enabling real-time inference. This function takes the model and input data as arguments to generate predictions.