Which module in the Azure Machine Learning designer should you use?

You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use?A . Select Columns in DatasetB . Add RowsC . Split DataD . Join DataView AnswerAnswer: C Explanation: A common way of evaluating a model is...

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This is an example of which Microsoft guiding principle for responsible AI?

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. This is an example of which Microsoft guiding principle for responsible AI?A . fairnessB . inclusivenessC . reliability and safetyD . accountabilityView AnswerAnswer: B Explanation: Inclusiveness: At Microsoft, we firmly believe everyone...

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For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point

HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: Yes Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning...

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You are developing a model to predict events by using classification

HOTSPOT You are developing a model to predict events by using classification. You have a confusion matrix for the model scored on test data as shown in the following exhibit. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the...

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For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point

HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Anomaly detection encompasses many important tasks in machine learning: Identifying transactions that are potentially fraudulent. Learning patterns that indicate that a network...

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