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For a machine learning progress, how should you split data for training and evaluation?
For a machine learning progress, how should you split data for training and evaluation?A . Use features for training and labels for evaluation.B . Randomly split the data into rows for training and rows for evaluation.C . Use labels for training and features for evaluation.D . Randomly split the data...
To complete the sentence, select the appropriate option in the answer area
HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint. Real-time endpoints must be deployed to an Azure Kubernetes Service cluster. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy
To complete the sentence, select the appropriate option in the answer area
HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding...
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions
DRAG DROP Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. NOTE: Each correct selection is...
What are Household Income and House Price Category?
HOTSPOT You have the following dataset. You plan to use the dataset to train a model that will predict the house price categories of houses. What are Household Income and House Price Category? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one...
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...
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...
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...
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...
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...
