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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-901 |
| Exam Price: | $99 USD |
| Exam Format: | Multiple select, Multiple choice, Case studies |
| Certificate Validity Period: | Lifetime |
| Passing Score: | 700 |
| Real Exam Qty: | 30-40 |
| Available Languages: | Portuguese (Brazil), Chinese (Simplified), Korean, Chinese (Traditional), Spanish, Russian, German, Indonesian (Indonesia), English, Japanese, Italian, French, Arabic (Saudi Arabia) |
| Exam Duration: | 60 minutes |
| Recommended Training: | Microsoft Learn: AI concepts for developers and technology professionals Microsoft Learn: Get started with Microsoft Foundry |
| Exam Registration: | Microsoft Certification Exam Registration Pearson VUE Scheduling |
| Sample Questions: | Microsoft AI-901 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/ |
>> Reliable AI-901 Practice Questions <<
Many candidates felt worried about their exam for complex content and too extansive subjects to choose and understand. Our AI-901 exam materials successfully solve this problem for them. with the simplified language and key to point subjects, you are easy to understand and grasp all the information that in our AI-901 training guide.For Our professionals compiled them with the purpose that help all of the customer to pass their AI-901 exam.
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NEW QUESTION # 54
You plan to develop an AI application that will read the license plates of motor vehicles by using Azure AI Foundry. What should you use to develop the application?
Answer: B
Explanation:
Azure AI Studio (now Azure AI Foundry) is used to develop an AI application for reading license plates using its tools and models. The platform allows developers to build, customize, and deploy AI agents and applications, including those that process images to extract information like license plate numbers.
Key components of the process
Platform: Azure AI Foundry (formerly Azure AI Studio) is the central platform for building and managing AI applications.
Tools: You can use its integrated development environment (IDE), SDKs, and APIs to develop and customize models.
Models: The platform provides access to a wide range of AI models, including computer vision models capable of optical character recognition (OCR), which can be used to read text from images.
Workflow:
Create an Azure AI Foundry project in Azure.
Use the model catalog to find and deploy a suitable computer vision or OCR model.
Integrate the model into your application using the SDK or API.
For a license plate application, you would feed images to the model, and the model would output the recognized text from the license plate.
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry
NEW QUESTION # 55
Based on the image provided, here is the transcribed text:
You need to build an AI solution that produces new product images based on written descriptions provided by users.
Which AI workload should you use?
Answer: A
Explanation:
The requirement is to produce new product images based on written descriptions. This is an image generation workload, because the AI system is creating entirely new images from natural language prompts.
Why the other options are incorrect:
B . image analysis is used to examine and interpret existing images.
C . object detection is used to identify and locate objects within an existing image.
D . optical character recognition (OCR) is used to extract text from images or scanned documents.
Since the solution must generate new visual content from user-provided descriptions, the correct answer is:
A . image generation
NEW QUESTION # 56
You are developing an AI-powered customer support application. Which task is an example of the Microsoft responsible AI principle of inclusiveness?
Answer: C
Explanation:
The inclusiveness principle states that AI systems should empower everyone and engage people.
Designing for multiple languages and screen readers directly reflects this goal.
Screen reader support ensures accessibility for people with visual impairments.
Multi-language interfaces break down barriers for non-native speakers.
Inclusive design proactively addresses physical, cognitive, and linguistic differences.
Reference:
https://www.netguru.com/blog/fintech-app-accessibility
NEW QUESTION # 57
You are developing an application that summarizes customer comments by using Azure Language in Foundry Tools.
You need to install the Azure Language SDK.
Which Python package should you install?
Answer: D
Explanation:
To summarize comments using Azure Language in Foundry Tools, you should install the azure- ai-textanalytics Python package.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/sdk-overview
NEW QUESTION # 58
Capturing text from images is an example of which type of Al capability?
Answer: D
Explanation:
Capturing or reading text from images is optical character recognition (OCR) . OCR is used to detect and extract printed or handwritten text from images, scanned documents, and other visual content.
NEW QUESTION # 59
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