Updated AI-900 Dumps – Perfect AI-900 Exam Preparation Materials

1. You run a charity event that involves posting photos of people wearing sunglasses on Twitter.

You need to ensure that you only retweet photos that meet the following requirements:

Include one or more faces.

Contain at least one person wearing sunglasses.

What should you use to analyze the images?

2. What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

3. HOTSPOT

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

4. HOTSPOT

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

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. 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?

7. 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.

8. You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.

Which two principles should you follow? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

9. 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?

10. 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?

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

12. When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.

This is an example of which Microsoft guiding principle for responsible AI?

13. DRAG DROP

You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.

Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.

14. Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.

This an example of which Microsoft guiding principle for responsible AI?

15. You are building an AI system.

Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

16. 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.

17. 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.

18. HOTSPOT

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

19. 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.

20. HOTSPOT

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

21. DRAG DROP

Match the principles of responsible AI to appropriate requirements.

To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

22. HOTSPOT

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

23. 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.

24. You need to predict the sea level in meters for the next 10 years.

Which type of machine learning should you use?

25. HOTSPOT

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

26. A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.

You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.

This is an example of which type of machine learning?

27. HOTSPOT

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

28. 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.

29. HOTSPOT

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

30. 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.

31. HOTSPOT

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

32. You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?

33. 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?

34. Which service should you use to extract text, key/value pairs, and table data automatically

from scanned documents?

35. 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.

36. DRAG DROP

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.

37. 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.

38. HOTSPOT

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

39. HOTSPOT

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

40. 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?

41. HOTSPOT

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

42. Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

43. HOTSPOT

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

44. HOTSPOT

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

45. You have a dataset that contains information about taxi journeys that occurred during a

given period.

You need to train a model to predict the fare of a taxi journey.

What should you use as a feature?

46. 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.

47. HOTSPOT

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

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

49. 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.

50. When training a model, why should you randomly split the rows into separate subsets?