Free PDF 2026 Microsoft AI-900 Marvelous New Exam Pass4sure

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Studying with Revision Books

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Microsoft AI-900 or Microsoft Azure AI Fundamentals Exam is a certification exam that focuses on the fundamentals of Artificial Intelligence (AI) and its applications in Microsoft Azure. AI-900 exam is designed for individuals who want to explore the basics of AI and understand how it can be integrated into various applications. AI-900 exam covers topics such as machine learning, cognitive services, natural language processing, and computer vision.

The AI-900 exam covers topics such as machine learning, natural language processing, computer vision, and conversational AI. AI-900 exam also covers the different AI services and tools that are available on the Microsoft Azure platform. These include Azure Machine Learning, Azure Cognitive Services, and Bot Services. Individuals who pass the AI-900 exam will have a good understanding of how these AI services can be used to solve various business problems.

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Microsoft Azure AI Fundamentals Sample Questions (Q292-Q297):

NEW QUESTION # 292
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.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


NEW QUESTION # 293
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/dotnet/machine-learning/resources/tasks


NEW QUESTION # 294
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:


NEW QUESTION # 295
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?

Answer: D

Explanation:
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection


NEW QUESTION # 296
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:

Explanation:

This question assesses knowledge of the Azure Cognitive Services Speech and Text Analytics capabilities, as described in the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn modules "Explore natural language processing" and "Explore speech capabilities." These services are part of Azure Cognitive Services, which provide prebuilt AI capabilities for speech, language, and text understanding.
* You can use the Speech service to transcribe a call to text # YesThe Speech-to-Text feature in the Azure Speech service automatically converts spoken words into written text. Microsoft Learn explains:
"The Speech-to-Text capability enables applications to transcribe spoken audio to text in real time or from recorded files." This makes it ideal for call transcription, voice assistants, and meeting captioning.
* You can use the Text Analytics service to extract key entities from a call transcript # YesOnce a call has been transcribed into text, the Text Analytics service (part of Azure Cognitive Services for Language) can process that text to extract key entities, key phrases, and sentiment. For example, it can identify names, organizations, locations, and product mentions. Microsoft Learn notes: "Text Analytics can extract key phrases and named entities from text to derive insights and structure from unstructured data."
* You can use the Speech service to translate the audio of a call to a different language # YesThe Azure Speech service also includes Speech Translation, which can translate spoken language in real time. It converts audio input from one language into translated text or speech output in another language.
Microsoft Learn describes this as: "Speech Translation combines speech recognition and translation to translate spoken audio to another language."


NEW QUESTION # 297
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