The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.
Question 201: Conversational AI
Question 202: The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft _____ principle for responsible AI.
A. Inclusiveness
B. Privacy and security
C. Reliability and safety
D. Transparency
Question 203: Predicting whether a patient will develop diabetes based on the patients medical history is an example of anomaly detection
Question 204: Identifying suspicious sign-ins by looking for deviations from usual patterns is an example of anomaly detection
Question 205: Forecasting housing prices based on historical data is an example of anomaly detection
Question 206: You build a machine learning model by using the automate machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?
Question 207: 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
There are ____ false negatives
Question 208: 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
There are ____ correctly predicted positives
Question 209: For machine learning progress, how should you split data for training and evaluation
Question 210: A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries. Which business benefit should the company expect as a result of creating the webchat bot solution
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