Möchten Sie die Prüfung AI-900 bestehen, beginnen Sie hier!

Prufung2022-06-29T06:44:59+00:00

Wenn Sie Zertifizierung Azure AI Fundamentals erhalten, soll man die Prüfung AI-900 bestehen. Es kann die Grundlage bieten, die Sie für den Aufbau Ihrer Karriere benötigen, und Ihr Wissen über allgemeine KI- und maschinelle Lernworkloads demonstrieren – und darüber, was Azure-Dienste für sie lösen können. Die folgenden Fähigkeiten dieser Prüfung werden gemessen: Workloads und Überlegungen zu künstlicher Intelligenz beschreiben (20-25 %), Grundprinzipien des maschinellen Lernens auf Azure beschreiben (25-30 %), Funktionen von Computer-Vision-Workloads auf Azure beschreiben (15-20 %). ), Funktionen von Workloads zur Verarbeitung natürlicher Sprache (Natural Language Processing, NLP) in Azure beschreiben (25–30 %)

Die neuesten AI-900 Prüfungsfragen sind bei Realexam jetzt verfügbar. Sie helfen Ihnen bei der Vorbereitung auf das Bestehen der AI-900 Prüfung.

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1. 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.

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

true positive rate

mean absolute error (MAE)

coefficient of determination (R2)

root mean squared error (RMSE)

3. 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?

Set Validation type to Auto.

Enable Explain best model.

Set Primary metric to accuracy.

Set Max concurrent iterations to 0.

4. 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.

5. HOTSPOT

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

6. 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.

7. 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.

8. 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.

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

Use features for training and labels for evaluation.

Randomly split the data into rows for training and rows for evaluation.

Use labels for training and features for evaluation.

Randomly split the data into columns for training and columns for evaluation.

10. HOTSPOT

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

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11. DRAG DROP

Match the machine learning tasks to the appropriate scenarios.

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

12. HOTSPOT

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

13. 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.

14. You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Education Level

Last Name

Age

Income Range

First Name

15. 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.

the model name

the training endpoint

the authentication key

the REST endpoint

16. 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?

accountability

fairness

inclusiveness

privacy and security

17. 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.

18. 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?

Select Columns in Dataset

Add Rows

Split Data

Join Data

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

to train the model twice to attain better accuracy

to train multiple models simultaneously to attain better performance

to test the model by using data that was not used to train the model

20. HOTSPOT

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

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21. 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

22. HOTSPOT

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

23. 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?

increased sales

a reduced workload for the customer service agents

improved product reliability

24. 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.

25. 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?

clustering

regression

classification

26. 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.

27. You are building an AI system.

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

Ensure that all visuals have an associated text that can be read by a screen reader.

Enable autoscaling to ensure that a service scales based on demand.

Provide documentation to help developers debug code.

Ensure that a training dataset is representative of the population.

28. 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.

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

classification

regression

clustering

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

knowledgeability

decisiveness

inclusiveness

fairness

opinionatedness

reliability and safety

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31. HOTSPOT

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

32. 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.

33. HOTSPOT

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

34. HOTSPOT

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

35. 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?

fairness

inclusiveness

reliability and safety

accountability

36. 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.

dataset

compute

pipeline

module

37. 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.

Implement an Agile software development methodology

Implement a process of Al model validation as part of the software review process

Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

Prevent the disclosure of the use of Al-based algorithms for automated decision making

38. 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.

39. 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?

the number of taxi journeys in the dataset

the trip distance of individual taxi journeys

the fare of individual taxi journeys

the trip ID of individual taxi journeys

40. 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.

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

Form Recognizer

Text Analytics

Ink Recognizer

Custom Vision

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

Which type of machine learning should you use?

classification

regression

clustering

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

Which type of model is the chart used to evaluate?

classification

regression

clustering

44. HOTSPOT

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

45. HOTSPOT

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

46. HOTSPOT

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

47. 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.

48. 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.

49. 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?

the Verify operation in the Face service

the Detect operation in the Face service

the Describe Image operation in the Computer Vision service

the Analyze Image operation in the Computer Vision service

50. 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?

transparency

inclusiveness

fairness

privacy and security

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Möchten Sie die Prüfung AI-900 bestehen, beginnen Sie hier!