AI-901 Zertifikatsfragen & AI-901 Fragen Beantworten

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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Real Exam Qty:40-60
Certificate Validity Period:1 year (renewable via free online assessment on Microsoft Learn)
Related Certifications:Microsoft Certified: Azure AI Fundamentals
Exam Format:Scenario-based, Multiple choice, Match the service to use case, Multiple select, Drag and drop
Exam Duration:45-60
Available Languages:Arabic (Saudi Arabia), Korean, Chinese (Simplified), German, Italian, Russian, Japanese, French, English, Spanish, Indonesian (Indonesia), Portuguese (Brazil), Chinese (Traditional)
Exam Price:USD 99
Passing Score:700 / 1000
Sample Questions:Microsoft AI-901 Sample Questions
Exam Way:Online (remote proctored via Pearson VUE) or at a Pearson VUE test center
Pre Condition:No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900

>> AI-901 Zertifikatsfragen <<

AI-901 Fragen Beantworten & AI-901 Prüfungsfragen

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Microsoft AI-901 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 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.

Microsoft Azure AI Fundamentals AI-901 Prüfungsfragen mit Lösungen (Q44-Q49):

44. Frage
Which Azure OpenAI model should you use to summarize the text from a document?

Antwort: A


45. Frage
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.

Antwort:

Begründung:

Explanation:
Box 1: No
No, relying on a single method of user input does not provide an inclusive experience. True inclusivity requires supporting multiple interaction modes-such as text, voice, touch, and keyboard navigation-because a single-mode interface inevitably excludes users with specific physical, sensory, cognitive, or situational constraints.
Box 2: No
No, simply increasing the overall number of users does not automatically support an inclusive experience. Inclusive design requires that an AI system actively works for people of all backgrounds, abilities, and identities. High user volume can mask deep gaps where certain groups are left out or harmed.
Box 3: Yes
Designing an AI system for different languages supports inclusiveness by breaking down communication barriers, helping people access information easily, and making everyone feel welcome.
Equal Access: Everyone gets the same chance to use the system.
Clear Choices: Users can pick the language they know best.
Fair Treatment: No one is left out because of how they speak or write.
Reference:
https://www.mindinventory.com/blog/website-accessibility-best-practices/


46. Frage
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.

Antwort:

Begründung:


47. Frage
Select the answer that correctly completes the sentence.

Antwort:

Begründung:


48. Frage
In Azure Machine Learning, what are two ensemble methods for combining models in automated machine learning (automated ML)? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Antwort: A,D

Begründung:
In Azure Machine Learning's automated machine learning (AutoML), two prominent ensemble methods for combining models are Voting and Stacking.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-automated-ml 1


49. Frage
......

AI-901 Fragen Beantworten: https://www.deutschpruefung.com/AI-901-deutsch-pruefungsfragen.html