閱讀AI-901資料意味著你已經通過Microsoft Azure AI Fundamentals的一半

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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-901
Exam Price:$99 USD
Exam Format:Case studies, Multiple choice, Multiple select
Available Languages:Indonesian (Indonesia), Spanish, German, Japanese, Korean, English, Italian, Chinese (Simplified), Russian, Arabic (Saudi Arabia), Portuguese (Brazil), Chinese (Traditional), French
Exam Duration:60 minutes
Passing Score:700
Certificate Validity Period:Lifetime
Real Exam Qty:30-40
Recommended Training:Microsoft Learn: Get started with Microsoft Foundry
Microsoft Learn: AI concepts for developers and technology professionals
Exam Registration:Pearson VUE Scheduling
Microsoft Certification Exam Registration
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/

>> AI-901資料 <<

Microsoft AI-901考題資訊,AI-901題庫

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Microsoft AI-901 考試大綱:

主題簡介
主題 1
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
主題 2
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

最新的 Microsoft Certified: Azure AI Fundamentals AI-901 免費考試真題 (Q80-Q85):

問題 #80
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:

解題說明:


問題 #81
Hotspot Question
You are developing a voice application that listens for spoken commands and converts them into text by using Azure Speech in Foundry Tools.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

答案:

解題說明:


問題 #82
You ate building an application that uses Azure Speech in Foundry Tools. You need to initialize the Speech SDK for Python oy creating a SpechConfig object. Which values should you specify?

答案:A

解題說明:
To initialize the Azure Speech SDK for Python, you create a SpeechConfig object with information for the Speech resource. Microsoft documentation states that SpeechConfig includes information such as the Speech resource key and associated region, endpoint, host, or authorization token . It also shows the Python pattern:
speech_config = speechsdk.SpeechConfig(subscription= " YourSpeechKey " , region= " YourSpeechRegion " ) or, for endpoint-based configuration:
speech_config = speechsdk.SpeechConfig(subscription=os.environ.get( " SPEECH_KEY " ), endpoint=os.
environ.get( " ENDPOINT " ))
Therefore, among the provided options, the correct answer is D. the Foundry resource key and endpoint .
Options A, B, and C are incorrect because Speech SDK initialization does not use an OpenAI model deployment name, storage account credentials, or the Foundry project name/project endpoint.


問題 #83
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:

解題說明:


問題 #84
Your company provides users with clear information about an Al system ' s purpose, functionality, and limitations. Which Microsoft responsible Al principle is this an example of?

答案:A

解題說明:
Providing users with clear information about an AI system's purpose, functionality, and limitations is an example of the Microsoft responsible AI principle of transparency . Transparency means users should be able to understand when and how AI is being used, what the system can do, and what its limitations are.


問題 #85
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