Exam DP-100 topic 3 question 127 discussion

To prepare labeled image data as input for model training in the form of an Azure Machine Learning tabular dataset, you should use the JSONL format. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-prepare-datasets-for-automl-images?view=azureml-api-2&ssp=1

bard says B is correct and give some example

To use labeled image data for a tabular dataset, you need to prepare the data in the accepted format. According to the Microsoft Learn website, labeled data should be in JSONL format. JSONL is a format where each line of the file is a valid JSON object, which makes it easy to read and parse[1]. Once you have your labeled data in JSONL format, you can use it to create an MLTable, which packages your data into a consumable object for training. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-prepare-datasets-for-automl-images?view=azureml-api-2&tabs=cli

A. COCO To prepare labeled image data as input for model training in the form of an Azure Machine Learning tabular dataset, you should use the COCO (Common Objects in Context) data format.

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-prepare-datasets-for-automl-images?tabs=cli