microsoft ai-900 practice test

microsoft azure ai fundamentals

Last exam update: Nov 23 ,2025
Page 1 out of 25. Viewing questions 1-10 out of 246

Question 1

HOTSPOT

For each of the following statement, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Answer:

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Question 2

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?

  • A. semantic segmentation
  • B. image classification
  • C. object detection
  • D. optical character recognition (OCR)
Mark Question:
Answer:

d


Azure's Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents - invoices, bills, financial reports, articles, and more.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-recognizing-text

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Question 3

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.

  • A. Use a graphical user interface (GUI) to run automated machine learning experiments.
  • B. Create a compute instance to use as a workstation.
  • C. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
  • D. Create a dataset from a comma-separated value (CSV) file.
Mark Question:
Answer:

ac


Note: Enterprise workspaces are no longer available as of September 2020. The basic workspace now has all the functionality of the enterprise workspace.
Reference:
https://www.azure.cn/en-us/pricing/details/machine-learning/
https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace

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Question 4

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.
Select and Place:

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Answer:


Box 1: Model evaluation -
The Model evaluation module outputs a confusion matrix showing the number of true positives, false negatives, false positives, and true negatives, as well as
ROC, Precision/Recall, and Lift curves.

Box 2: Feature engineering -
Feature engineering is the process of using domain knowledge of the data to create features that help ML algorithms learn better. In Azure Machine Learning, scaling and normalization techniques are applied to facilitate feature engineering. Collectively, these techniques and feature engineering are referred to as featurization.
Note: Often, features are created from raw data through a process of feature engineering. For example, a time stamp in itself might not be useful for modeling until the information is transformed into units of days, months, or categories that are relevant to the problem, such as holiday versus working day.

Box 3: Feature selection -
In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml

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Question 5

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.

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Question 6

You have an app that identifies the coordinates of a product in an image of a supermarket shelf.

Which service does the app use?

  • A. Custom Vision classification
  • B. Custom Vision object detection
  • C. Computer Vision Read
  • D. Computer Vision optical character recognition (OCR)
Mark Question:
Answer:

b

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Question 7

HOTSPOT

Select the answer that correctly completes the sentence.

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bmcentos
1 month, 3 weeks ago

text extraction is better

0

Question 8

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. Predict stock prices.
  • B. Detect brands in an image.
  • C. Detect the color scheme in an image
  • D. Translate text between languages.
  • E. Extract key phrases.
Mark Question:
Answer:

bc


B: Identify commercial brands in images or videos from a database of thousands of global logos. You can use this feature, for example, to discover which brands are most popular on social media or most prevalent in media product placement.
C: Analyze color usage within an image. Computer Vision can determine whether an image is black & white or color and, for color images, identify the dominant and accent colors.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview

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Question 9

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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Question 10

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.

  • A. Extract the invoice number from an invoice.
  • B. Translate a form from French to English.
  • C. Find image of product in a catalog.
  • D. Identify the retailer from a receipt.
Mark Question:
Answer:

ad


Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/form-recognizer/#features

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