AI 900 - pt 4

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.

• 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.

Which two fields should you use as features? Each correct answer presents a complete solution

• Education Level

• Last Name

• Age

• Income Range

• First Name

You are building a tool that will process images from retail stores and identify the products of competitors. The solution will use a custom model. Which Azure Cognitive Services service should you use?

• Custom Vision

• Form Recognizer

• Face

• Computer Vision

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

• yes

• no

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

• yes

• no

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

• yes

• no

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

• yes

• no

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

• yes

• no

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

• yes

• no

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

• coefficient of determination (R2)

• F1 score

• root mean squared error (RMSE)

• area under curve (AUC)

• balanced accuracy