Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?A . Form Recognizer B. Text Analytics C. Ink Recognizer D. Custom VisionView AnswerAnswer: A Explanation: Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text,...

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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: Text Description automatically generated

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Topic 1, Describe Artificial Intelligence workloads and considerations

Topic 1, Describe Artificial Intelligence workloads and considerations HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: Reliability and safety: To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should...

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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: No Box 2: Yes Box 3: Yes Anomaly detection encompasses many important tasks in machine learning: Identifying transactions that are...

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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...

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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: Text Description automatically generated Regression is a machine learning task that is used to predict the value of the label from a set of related features.

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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: Graphical user interface, text, application, email Description automatically generated Box 1: No The validation dataset is different from the test dataset that...

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What should you use as a feature?

You have a dataset that contains information about taxi journeys that occurred during a given period. You need to train a model to predict the fare of a taxi journey. What should you use as a feature?A . the number of taxi journeys in the dataset B. the trip distance...

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Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . dataset B. compute C. pipeline D. moduleView AnswerAnswer: A,D Explanation: You can drag-and-drop datasets and modules onto the canvas. Reference:...

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

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable. This is an example of which Microsoft guiding principle for responsible AI?A . transparency B. inclusiveness C. fairness D. privacy and securityView AnswerAnswer: A Explanation: Achieving transparency...

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