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Microsoft AI-900 Exam Syllabus Topics:

Section	Weight	Objectives
Describe features of computer vision workloads on Azure	15-20%	- Identify common computer vision tasks - Identify Azure AI services for computer vision - Describe Azure capabilities for computer vision
Describe fundamental principles of machine learning on Azure	30-35%	- Describe core machine learning concepts - Describe features of no-code automated ML - Identify common machine learning tasks - Describe Azure Machine Learning capabilities
Describe features of Generative AI workloads on Azure	15-20%	- Describe generative AI concepts - Describe Azure OpenAI Service capabilities - Identify responsible AI considerations for generative AI
Describe features of Natural Language Processing (NLP) workloads on Azure	15-20%	- Identify common NLP tasks - Identify Azure AI services for NLP - Describe Azure capabilities for NLP
Describe AI workloads and considerations	15-20%	- Identify guiding principles for responsible AI - Identify features of common AI workloads

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최신 Microsoft Certified: Azure AI Fundamentals AI-900 무료샘플문제 (Q278-Q283):

질문 # 278
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답：

설명：

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

질문 # 279
In which scenario should you use key phrase extraction?

A. translating a set of documents from English to German
B. identifying which documents provide information about the same topics
C. identifying whether reviews of a restaurant are positive or negative
D. generating captions for a video based on the audio track

정답：C

질문 # 280
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답：

설명：

질문 # 281
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답：

설명：

Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

질문 # 282
Select the answer that correctly completes the sentence.

정답：

설명：

Explanation:

In Azure OpenAI Service, the temperature parameter directly controls the creativity and determinism of responses generated by models such as GPT-3.5. According to the Microsoft Learn documentation for Azure OpenAI models, temperature is a numeric value (typically between 0.0 and 2.0) that determines how
"random" or "deterministic" the output should be.
* A lower temperature value (for example, 0 or 0.2) makes the model's responses more deterministic, meaning the same prompt consistently produces nearly identical outputs.
* A higher temperature value (for example, 0.8 or 1.0) encourages creativity and variety, causing the model to generate different phrasing or interpretations each time it responds.
When a question specifies the need for more deterministic responses, Microsoft's guidance is to decrease the temperature parameter. This adjustment makes the model focus on the most probable tokens (words) rather than exploring less likely options, improving reliability and consistency-ideal for business or technical applications where consistent answers are essential.
The other parameters serve different purposes:
* Frequency penalty reduces repetition of the same phrases but does not control randomness.
* Max response (max tokens) limits the maximum length of the generated output.
* Stop sequence defines specific tokens that tell the model when to stop generating text.
Thus, the correct and Microsoft-verified completion is:
"You can modify the Temperature parameter to produce more deterministic responses from a chat solution that uses the Azure OpenAI GPT-3.5 model."

질문 # 283
......

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