DRAG DROP You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements. Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.
Q: 2
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Discussion
Train Model → Score Model → Evaluate Model is what fits for diagnostic test evaluation. In Azure ML this sequence is standard for binary classification scenarios since Evaluate Model gives the ROC and confusion matrix visuals. If they wanted a recommender-specific pipeline, Evaluate Recommender would be last instead. Pretty confident about these steps but open if anyone thinks different.
Train Model → Score Model → Evaluate Model, that's the usual Azure ML order for test evaluation.
Don’t think Evaluate Recommender fits here, that’s more for recommenders. Should be Train Model, Score Model, then Evaluate Model.
Train Model → Score Model → Evaluate Model is the right flow. The trap is "Evaluate Recommender," but that's for recommendation systems, not general model evaluation. I think this sequence matches what Azure ML expects, but open to corrections if I'm missing something.
Train Model → Score Model → Evaluate Model. This sequence is in the official Azure ML docs for classification/testing evaluations. Pretty sure it's best to check practice labs or the official guide if you're prepping for this.
Train Model, Score Model, Evaluate Recommender. I did this sequence before for recommender visualizations, so it should fit here too I think.
Train Model > Score Model > Evaluate Model. I'd double check in the official guide or try hands-on labs to be sure.
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I'd try Train Model, Score Model, then Evaluate Recommender. Seems like Evaluate Recommender gives some visuals too for recommendations.
Train Model > Score Model > Evaluate Recommender. That's how I've seen it in some practice test explanations, especially for visualizing recommender outputs. Maybe double check the official study guide though, I might be mixing up with a non-diagnostic scenario.
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Question 2 of 35
