Exam Tips: Microsoft Azure AI Fundamentals (AI-900)

Jonnie Karnath2023-06-01T07:33:18+00:00

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1. 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

2. 1. Topic 1, Describe Artificial Intelligence workloads and considerations

HOTSPOT

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

3. HOTSPOT

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

4. Topic 3, Describe features of computer vision workloads on Azure

You need to develop a mobile app for employees to scan and store their expenses while travelling.

Which type of computer vision should you use?

semantic segmentation

image classification

object detection

optical character recognition (OCR)

5. 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.

coefficient of determination (R2)

F1 score

root mean squared error (RMSE)

area under curve (AUC)

balanced accuracy

6. 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.

7. You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.

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

QnA Maker

Azure Bot Service

Form Recognizer

Anomaly Detector

8. 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.

9. HOTSPOT

Select the answer that correctly completes the sentence.

10. 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.

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11. 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.

12. Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

a telephone answering service that has a pre-recorder message

a chatbot that provides users with the ability to find answers on a website by themselves

telephone voice menus to reduce the load on human resources

a service that creates frequently asked questions (FAQ) documents by crawling public websites

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 determine the location of cars in an image so that you can estimate the distance between the cars.

Which type of computer vision should you use?

optical character recognition (OCR)

object detection

image classification

face detection

15. HOTSPOT

Select the answer that correctly completes the sentence

16. 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.

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 are building a knowledge base by using QnA Maker.

Which file format can you use to populate the knowledge base?

PDF

PPTX

XML

ZIP

19. In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Extract the invoice number from an invoice.

Translate a form from French to English.

Find image of product in a catalog.

Identity the retailer from a receipt.

20. What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Train a custom image classification model.

Detect faces in an image.

Recognize handwritten text.

Translate the text in an image between languages.

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21. HOTSPOT

Select the answer that correctly completes the sentence

22. 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.

23. You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

This is an example of which type of natural language processing workload?

language detection

sentiment analysis

key phrase extraction

entity recognition

24. You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

facial recognition

optical character recognition (OCR)

semantic segmentation

object detection

25. 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.

26. 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.

27. You are building a Language Understanding model for an e-commerce business.

You need to ensure that the model detects when utterances are outside the intended scope of the model.

What should you do?

Test the model by using new utterances

Add utterances to the None intent

Create a prebuilt task entity

Create a new model

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. An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?

sentiment analysis

key phrase extraction

entity recognition

speech recognition

30. 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

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31. 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.

32. CORRECT TEXT

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

Using Recency, Frequency, and Monetary (RFM) values to identify segments of a customer base is an example of___________

33. Which scenario is an example of a webchat bot?

Determine whether reviews entered on a website for a concert are positive or negative, and then add a thumbs up or thumbs down emoji to the reviews.

Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back.

Accept questions through email, and then route the email messages to the correct person based on the content of the message.

From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.

34. 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.

35. DRAG DROP

You plan to apply Text Analytics API features to a technical support ticketing system.

Match the Text Analytics API features to the appropriate natural language processing scenarios.

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

36. HOTSPOT

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

37. 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.

38. Which machine learning technique can be used for anomaly detection?

A machine learning technique that understands written and spoken language.

A machine learning technique that classifies objects based on user supplied images.

A machine learning technique that analyzes data over time and identifies unusual changes.

A machine learning technique that classifies images based on their contents.

39. DRAG DROP

Match the services to the appropriate descriptions.

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

40. In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad

generating live captions for a news broadcast

extracting key phrases from the audio recording of a meeting

an Al character in a computer game that speaks audibly to a player

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41. DRAG DROP

Match the principles of 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 match is worth one point.

42. You have a custom question answering solution.

You create a bot that uses the knowledge base to respond to customer requests. You need to identify what the bot can perform without adding additional skills.

What should you identify?

Answer questions from multiple users simultaneously.

Provide customers with return materials authorization (RMA) numbers.

43. 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.

44. Your company manufactures widgets.

You have 1.000 digital photos of the widgets.

You need to identify the location of the widgets within the photos.

What should you use?

Computer Vision Spatial Analysis

Custom Vision object detection

Custom Vision classification

Computer Vision Image Analysis

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. You need to create a clustering model and evaluate the model by using Azure Machine Learning designer.

What should you do?

Split the original dataset into a dataset for features and a dataset for labels. Use the features dataset for evaluation.

Split the original dataset into a dataset for training and a dataset for testing. Use the training dataset for evaluation.

Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation.

Use the original dataset for training and evaluation.

48. 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.

49. CORRECT TEXT

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

Computer vision capabilities can be Deployed to………………..

50. DRAG DROP

Match the facial recognition tasks to the appropriate questions.

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

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51. 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.

52. Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?

QnA Maker

Language Understanding (LUIS)

Text Analytics

Speech

53. Topic 5, Describe features of conversational AI workloads on Azure

You need to track multiple versions of a model that was trained by using Azure Machine Learning.

What should you do?

Provision an inference duster.

Explain the model.

54. 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.

By Jonnie Karnath Microsoft Free Dumps AI-900 dumps questions, AI-900 practice exam, Microsoft Azure AI Fundamentals 0 Comments

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