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Microsoft AI-900 Certification Exam covers a range of topics related to AI, including machine learning, natural language processing, computer vision, and cognitive services. AI-900 exam is designed to test the candidate's understanding of the core concepts of AI and how they can be applied to real-world scenarios. Candidates who pass the exam demonstrate their ability to use Microsoft Azure AI services to build intelligent solutions.

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Microsoft AI-900 exam is a great starting point for individuals who want to pursue a career in artificial intelligence and machine learning. It provides a solid foundation for understanding the basic concepts and principles of these technologies and how they can be applied in real-world scenarios. Microsoft Azure AI Fundamentals certification also demonstrates to employers that you have the knowledge and skills necessary to work in this field.

Microsoft AI-900 Exam, also known as the Microsoft Azure AI Fundamentals, is a certification exam that tests the fundamental knowledge and skills required to understand artificial intelligence (AI) and its use in Microsoft Azure. AI-900 exam is designed for individuals who have a basic understanding of AI and machine learning concepts and want to gain a deeper understanding of how these concepts can be applied to Microsoft Azure services.

Microsoft Azure AI Fundamentals Sample Questions (Q155-Q160):

NEW QUESTION # 155
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?

Answer: A

Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Explore computer vision", Optical Character Recognition (OCR) is a form of computer vision that enables a system to detect and extract printed or handwritten text from images or documents. OCR is particularly useful in scenarios where the goal is to digitize textual information from physical documents, such as receipts, invoices, or travel expense forms - exactly as described in this question.
In the given scenario, employees need a mobile application that allows them to scan and store expenses while traveling. The process involves taking photos of receipts that contain printed text, such as vendor names, totals, dates, and item descriptions. The OCR technology automatically detects the text areas within the image and converts them into machine-readable and searchable data that can be stored in a database or processed further for expense management.
Microsoft's Azure Cognitive Services include the Computer Vision API and the Form Recognizer service, both of which use OCR technology. The Form Recognizer builds upon OCR by adding intelligent document understanding, enabling it to extract structured data from expense receipts automatically.
Other answer options are incorrect for the following reasons:
* A. Semantic segmentation assigns labels to every pixel in an image, typically used in autonomous driving or medical imaging, not for text extraction.
* B. Image classification identifies the overall category of an image (e.g., "This is a receipt"), but it does not extract the textual content.
* C. Object detection identifies and locates objects in an image with bounding boxes but is not used for text reading or conversion.
Therefore, based on the official AI-900 training and Microsoft Learn content, the correct answer is D. Optical Character Recognition (OCR) - the technology that enables extracting textual information from scanned expense receipts.


NEW QUESTION # 156
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:


NEW QUESTION # 157
Match the tool to the Azure Machine Learning task.
To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all NOTE: Each correct match is worth one point.

Answer:

Explanation:


NEW QUESTION # 158
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0


NEW QUESTION # 159
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-add-qna


NEW QUESTION # 160
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