성공을 위해 길을 찾고 실패를 위해 구실을 찾지 않는다는 말이 있습니다. Microsoft인증 AI-901시험이 영어로 출제되어 시험패스가 너무 어렵다 혹은 회사다니느라 공부할 시간이 없다는 등등은 모두 공부하기싫은 구실에 불과합니다. Fast2test의 Microsoft인증 AI-901덤프만 마련하면 실패를 성공으로 바꿀수 있는 기적을 체험할수 있습니다.
| Section | Weight | Objectives |
|---|---|---|
| Describe features of generative AI workloads on Azure | 10-15% | - Generative AI concepts
|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
| Describe features of computer vision workloads on Azure | 15-20% | - Azure AI Vision services
|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Identify features of common AI workloads
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Azure NLP services
|
많은 분들이 고난의도인 Microsoft관련인증시험을 응시하고 싶어 하는데 이런 시험은 많은 전문적인 관련지식이 필요합니다. 시험은 당연히 완전히 전문적인 AI-901관련지식을 터득하자만이 패스할 가능성이 높습니다. 하지만 지금은 많은 방법들로 여러분의 부족한 면을 보충해드릴 수 있으며 또 힘든 Microsoft시험도 패스하실 수 있습니다. 혹은 여러분은 전문적인 Microsoft Azure AI Fundamentals관련지식을 터득하자들보다 더 간단히 더 빨리 시험을 패스하실 수 있습니다.
질문 # 95
Select the answer that correctly completes the sentence.
정답：
설명：
Explanation:
The completed sentence is:
To define an agent ' s role and behaviors, you must configure a system prompt for the agent.
In Microsoft Foundry / Azure AI agent scenarios, the system prompt , also referred to as system instructions
, defines how the agent should behave, what role it should follow, and what constraints it must observe.
The other options are incorrect:
deployment slot relates to hosting/deployment routing, not agent behavior.
embedding index is used for vector search or retrieval scenarios, not defining the agent's role.
fine tuning job changes or adapts model behavior through training, but it is not the standard configuration used to define an agent's role and behavior at runtime.
Therefore, the correct answer is system prompt .
질문 # 96
Hotspot Question
You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application retrieves the analysis results after processing completes.
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.
정답：
설명：
질문 # 97
You need to build an AI solution that generates marketing email drafts based on a short description of a product and its target audience. Which AI workload should you use?
정답：A
설명：
A Generative AI workload is exactly what should be used for this scenario. Generative AI models (such as LLMs) are specifically designed to interpret prompts and create original, context-aware content, making them the perfect fit for drafting tailored marketing emails based on a product description and target audience.
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/content-understanding
질문 # 98
Select the answer that correctly completes the sentence.
정답：
설명：
Explanation:
The correct answer is natural language processing . In this scenario, a user communicates with a chatbot using ordinary human language, such as asking, "Will it rain today?" The chatbot must interpret the meaning and intent of the user ' s text, process the request, and formulate a natural-language response containing the relevant weather information. These are characteristic natural language processing (NLP) functions.
The current AI-901 study guide explicitly includes text analysis among the common AI workloads candidates must identify, and it also covers techniques for processing and interpreting human language. Microsoft documentation on conversational language understanding explains that conversational systems interpret user utterances to determine the user ' s intent and extract relevant information before the application performs an appropriate action.
Although the weather information itself may originate from a forecasting system, the scenario being tested centers on the chatbot interaction -understanding a natural-language question and responding conversationally. Therefore, prediction and forecasting is not the best classification of the complete interaction. Computer vision is also incorrect because no images or visual information are being analyzed.
질문 # 99
You are building an AI solution that processes customer information. Which task is an example of the Microsoft responsible AI principle of privacy and security?
정답：A
설명：
Encrypting stored customer data and restricting system access using role-based controls are exact and correct examples of the Microsoft responsible AI principle of privacy and security.
Key Goals of Privacy and Security
Protect data: Keep user and customer data safe from unauthorized eyes.
Control access: Ensure only the right people use the system.
Build trust: Make users feel secure when they use AI tools.
Reference:
https://www.microsoft.com/en-us/ai/principles-and-approach
질문 # 100
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Fast2test의 Microsoft인증 AI-901덤프는 다른 덤프판매 사이트보다 저렴한 가격으로 여러분들께 가볍게 다가갑니다. Microsoft인증 AI-901덤프는 기출문제와 예상문제로 되어있어 시험패스는 시간문제뿐입니다.
AI-901시험패스 인증공부자료: https://kr.fast2test.com/AI-901-premium-file.html