AI-900 Microsoft Azure AI Fundamentals

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Showing 7–9 of 15 questions

Question 7 (Describe fundamental principles of machine learning on Azure)

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.

What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Select all that apply, then click Submit answer.

  • Use a graphical user interface (GUI) to run automated machine learning experiments.

  • Create a compute instance to use as a workstation.

  • Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.

  • Create a dataset from a comma-separated value (CSV) file.

Question 8 (Describe features of Natural Language Processing (NLP) workloads on Azure)

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.

Which two services should you include in the solution? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Select all that apply, then click Submit answer.

  • QnA Maker

  • Azure Bot Service

  • Form Recognizer

  • Anomaly Detector

Question 9 (Describe fundamental principles of machine learning on Azure)

What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Select all that apply, then click Submit answer.

  • coefficient of determination (R2)

  • F1 score

  • root mean squared error (RMSE)

  • area under curve (AUC)

  • balanced accuracy