Exam PL-900 topic 1 question 33 discussion

BCE Source: https://powerapps.microsoft.com/en-us/blog/introducing-ai-builder-for-powerplatform/

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• Prediction: This model type allows you to use your own historical data to predict outcomes, such as whether a customer will buy a product or not, based on various factors. • Object detection: This model type allows you to detect and count objects in images, such as products on a shelf or defects in a product. Text classification: This model type allows you to categorize text into predefined classes, such as sentiment, language, or topic.

B. prediction - when you refer to "prediction" in the context of AI Builder, you are essentially using techniques like linear regression, time series forecasting, or other prediction methods to build models that make predictions based on data. Thaty why linear regression is not included int the answer. C. object detection E. text classification

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B. Prediction C. Object detection E. Text Classification D. Anomaly detection is what happens in a Power BI report, one of the elements that the "insight" features uses to communicate with the report consumer. This however is not an AI BUILDER THING, the other is Trends

BCE are correct

https://powerapps.microsoft.com/en-us/blog/introducing-ai-builder-for-powerplatform/

B, C and E.

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BCE. Anomaly Detection is not listed in Model Types. AI can only detect images & language, but not anomalies. https://learn.microsoft.com/en-us/ai-builder/model-types.

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BCE - correct

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