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AI-900 Practice Questions

Question # 1
You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?
A. Computer Vision
B. Face
C. Text Analytics
D. Form Recognizer


B. Face


Question # 2
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. Identity the retailer from a receipt.


A. Extract the invoice number from an invoice.
D. Identity the retailer from a receipt.

Explanation:

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

Question # 3
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?

A. facial recognition
B. optical character recognition (OCR)
C. semantic segmentation
D. object detection


B. optical character recognition (OCR)

Explanation:

Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.

[Reference:, https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr, , ]


Question # 4
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.


B. Detect brands in an image.
C. Detect the color scheme in an image


Question # 5
You need to generate images based on user prompts. Which Azure OpenAI model should you use?
A. GPT-4
B. DALL-E
C. GPT-3
D. Whisper


B. DALL-E


Question # 6
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)


D. optical character recognition (OCR)

Explanation:

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, , , ]


Question # 7
Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use?
A. anomaly detection
B. conversational AI
C. computer vision
D. natural language processing


C. computer vision

Explanation:

Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.

[Reference:, https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview, , , ]


Question # 8
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.
A. coefficient of determination (R2)
B. F1 score
C. root mean squared error (RMSE)
D. area under curve (AUC)
E. balanced accuracy


A. coefficient of determination (R2)
C. root mean squared error (RMSE)

Explanation:

A: R-squared (R2), or Coefficient of determination represents the predictive power of the model as a value between -inf and 1.00. 1.00 means there is a perfect fit, and the fit can be arbitrarily poor so the scores can be negative.

C: RMS-loss or Root Mean Squared Error (RMSE) (also called Root Mean Square Deviation, RMSD), measures the difference between values predicted by a model and the values observed from the environment that is being modeled.

[Reference:, https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/metrics, , , ]


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Microsoft AI-900 Exam Dumps

Exam Name: Microsoft Azure AI Fundamentals
Certification Name: Microsoft Certified: Azure AI Fundamentals

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  • Total Questions: 276
  • Last Updation Date: 20-Nov-2024

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