Quiz 2026 Fantastic Microsoft Valid Exam AI-901 Vce Free

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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 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.

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Use the Latest Microsoft AI-901 Questions to pass your Certification Exam

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Microsoft Azure AI Fundamentals Sample Questions (Q17-Q22):

NEW QUESTION # 17
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?

Answer: C

Explanation:
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.


NEW QUESTION # 18
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.

Answer:

Explanation:


NEW QUESTION # 19
You need to build an AI solution that responds to user queries with detailed written explanations.
Which type of AI model should you use?

Answer: A

Explanation:
A text generation model is the correct tool when you want an AI solution that responds to user queries with detailed written explanations.
Natural Language: They write clear sentences and paragraphs.
Complex Ideas: They break down hard topics into simple words.
Flexible Format: They can make lists, summaries, or long guides.


NEW QUESTION # 20
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:

The Model catalog is used for comparing and deploying a wide range of models for generative AI development.
Microsoft states that the model catalog in Foundry portal is the hub for discovering and using a wide range of models to build generative AI applications. Microsoft training also states that the model catalog is used to compare models by benchmark metrics and deploy models to endpoints.


NEW QUESTION # 21
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.

Answer:

Explanation:

Explanation:
Box 1: No
Transparency under Microsoft's responsible AI principles focuses on making sure people understand how the system works and why it makes decisions, rather than increasing performance or throughput.
Box 2: Yes
Yes, transparency is actively supported and defined under Microsoft's Responsible AI framework when users and stakeholders are clearly informed about an AI system's purpose, intended use, capabilities, and limitations.
Box 3: Yes
Yes, providing meaningful explanations of how an AI system generates its results directly supports the principle of transparency under Microsoft's responsible AI framework.
Builds trust: Users feel safe when they understand system actions.
Aids understanding: People see the data and logic behind choices.
Shares limitations: Users know what the AI cannot do.
Reference:
https://medium.com/accredian/responsible-ai-the-path-to-ethical-and-inclusive-technology-1b9ed83a0884


NEW QUESTION # 22
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