nerdexam
Microsoft

PL-100 · Question #93

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…

The correct answer is B. No. A Prediction model in AI Builder is designed to forecast outcomes from historical data (e.g., predicting churn or sales), not to identify objects within images. To detect physical objects like bicycles in photos, you must use an Object Detection custom model. While the Object…

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Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You are creating a canvas app. You need to automatically detect bicycles in pictures taken with the camera. Proposed solution: - Create a Prediction custom model in AI Builder. - Train the model with pictures of bicycles and then publish the trained model. - Add the Object Detector control to your canvas app. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(27 responses)
  • A
    22% (6)
  • B
    78% (21)

Explanation

A Prediction model in AI Builder is designed to forecast outcomes from historical data (e.g., predicting churn or sales), not to identify objects within images. To detect physical objects like bicycles in photos, you must use an Object Detection custom model. While the Object Detector control is the right canvas app component, using the wrong AI Builder model type means this solution cannot meet the goal.

Topics

#AI Builder#Object detection#Canvas apps#AI Builder model types

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