Microsoft Azure AI Fundamentals AI-900 Real Exam Dumps

Why choosing to pass AI-900 Microsoft Azure AI Fundamentals certification exam? Microsoft AI-900 exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. If you are registering for AI-900 exam currently, we recommend DumpsBase AI-900 exam dumps online as your preparation materials. You can read and study all AI-900 dumps questions and understand the answers to make sure you can pass Microsoft Azure AI Fundamentals AI-900 exam.

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1. 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?

2. For a machine learning progress, how should you split data for training and evaluation?

3. HOTSPOT

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.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.

4. 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?

5. 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.

6. HOTSPOT

To complete the sentence, select the appropriate option in the answer area.

7. DRAG DROP

Match the types of AI workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.

8. 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?

9. DRAG DROP

Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.

To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

10. HOTSPOT

To complete the sentence, select the appropriate option in the answer area.

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

12. HOTSPOT

To complete the sentence, select the appropriate option in the answer area.

13. 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.

14. HOTSPOT

To complete the sentence, select the appropriate option in the answer area.

15. HOTSPOT

To complete the sentence, select the appropriate option in the answer area.

16. 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.

17. HOTSPOT

You have the following dataset.

You plan to use the dataset to train a model that will predict the house price categories of houses.

What are Household Income and House Price Category? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point.

18. Which metric can you use to evaluate a classification model?

19. 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.

20. 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?


 

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