HOTSPOT (Drag and Drop is not supported)For each of the following statements, select Yes if the statement is true. Otherwise, select No.Note: Each correct selection is worth one point.Hot Area:
Answer(s): A
Box 1: YesAzure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning models.Box 2: YesWith the designer you can connect the modules to create a pipeline draft. As you edit a pipeline in the designer, your progress is saved as a pipeline draft.Box 3: No
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer
HOTSPOT (Drag and Drop is not supported)You have the following dataset.You plan to use the dataset to train a model that will predict the house price category of houses.What are Household Income and House Price Category? To answer, select the appropriate options in the answer area.Note: Each correct selection is worth one point.Hot Area:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/interpret-model-results
HOTSPOT (Drag and Drop is not supported)Select the answer that correctly completes the sentence.Hot Area:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml
A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain hemorrhage types.You need to use machine learning to support early detection of the different brain hemorrhage types in the images before the images are reviewed by a person.This is an example of which type of machine learning?
Answer(s): C
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/ introduction
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