AI 900 Microsoft Azure AI Fundamentals

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1. 1 · Geral

   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?

   • A)increased sales
   • B)a reduced workload for the customer service agents
   • C)improved product reliability

2. 2 · Geral

   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 into columns for training and columns for evaluation

3. 3 · Geral

   You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?

   • A)Set Validation type to Auto
   • B)Enable Explain best model
   • C)Set Primary metric to accuracy
   • D)Set Max concurrent iterations to 0

4. 4 · Geral

   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)fairness
   • B)inclusiveness
   • C)reliability and safety
   • D)accountability

5. 5 · Geral

   When developing an AI system for self-driving cars, the Microsoft for responsible AI should be applied to ensure consistent operation system during unexpected circumstances.

   • A)Inclusiveness
   • B)accountability
   • C)reliability and safety
   • D)fairness

6. 6 · Geral

   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 Vision

7. 7 · Geral

   You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

   • A)the model name
   • B)the training endpoint
   • C)the authentication key
   • D)the REST endpoint

8. 8 · Geral

   Which metric can you use to evaluate a classification model?

   • A)true positive rate
   • B)mean absolute error (MAE)
   • C)coefficient of determination (R2)
   • D)root mean squared error (RMSE)

9. 9 · Geral

   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)module

10. 10 · Geral

    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 Dataset
    • B)Add Rows
    • C)Split Data
    • D)Join Data

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