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Jim, a bakery owner, wants to offer a new type of pastry to customers. For the last five years, as customers were introduced to and tasted new products, Jim asked them to select one of the following satisfaction levels, Happy, Neutral, or Unhappy. This metric, combined with the recipe information, has resulted in Jim wanting to use AI Builder prediction to determine the potential success for the next offering. Which type of prediction model should Jim create?
Numerical outcome
Binary outcome
Multiple outcome
After you’ve trained a prediction model, the performance level is given a D grading. What could result in this performance level?
The model is correct in many cases.
The model is performing at or near 100 percent.
The model is doing slightly better than a random guess.
A company wants to implement a prediction model so that sales agents can use the outcome as they create sales quotes and are in discussion with their customers. You create a prediction model and publish it. The prediction is updated on a daily schedule. What can you do to obtain a real-time prediction?
Create a Power Automate cloud flow on the creation or update a sales quote that will use the Predict action.
Set up the prediction model setting to run on a more frequent schedule than a daily run, such as Instantaneous.
Create a Power Automate cloud flow on the creation of a customer record that will train the model.
You must answer all questions before checking your work.
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