AI-102최신업데이트버전덤프공부자료최신인증시험기출문제

2026 Itcertkr 최신 AI-102 PDF 버전 시험 문제집과 AI-102 시험 문제 및 답변 무료 공유: https://drive.google.com/open?id=1ycL-1VhdpegKxu8C_6PqNTEYRN1V50A0

많은 사이트에서Microsoft 인증AI-102 인증시험대비자료를 제공하고 있습니다. 그중에서 Itcertkr를 선택한 분들은Microsoft 인증AI-102시험통과의 지름길에 오른것과 같습니다. Itcertkr는 시험에서 불합격성적표를 받으시면 덤프비용을 환불하는 서비스를 제공해드려 아무런 걱정없이 시험에 도전하도록 힘이 되어드립니다. Itcertkr덤프를 사용하여 시험에서 통과하신 분이 전해주신 희소식이 Itcertkr 덤프품질을 증명해드립니다.

시험은 AI 솔루션 개발과 관련된 다양한 주제를 다룹니다. 이는 AI 워크플로우 디자인 및 구현, 자연어 처리 솔루션 생성, 컴퓨터 비전 기술 활용, 그리고 머신 러닝 모델 구현 등을 포함합니다. 또한 후보자의 Azure Cognitive Services, Azure Machine Learning 및 Azure Databricks와 같은 Azure 서비스 작업 능력도 검증받습니다.

>> AI-102최신 업데이트버전 덤프공부자료 <<

시험패스 가능한 AI-102최신 업데이트버전 덤프공부자료 뎜프데모

AI-102인증시험패스는 쉬운 일은 아닙니다. 높은 전문지식은 필수입니다.하지만 자신은 이 방면 지식이 없다면 Itcertkr가 도움을 드릴 수 있습니다. Itcertkr의 전문가들이 자기만의 지식과 지금까지의 경험으로 최고의 IT인증관련자료를 만들어 여러분들의 고민을 해결해드릴 수 있습니다. 우리는 최고의AI-102인증시험문제와 답을 제공합니다. Itcertkr는 최선을 다하여 여러분이 한번에AI-102인증시험을 패스하도록 도와드릴 것입니다. 여러분은 우리 Itcertkr 선택함으로 일석이조의 이익을 누릴 수 있습니다. 첫쨰는 관여지식은 아주 알차게 공부하실 수 있습니다.둘째는 바로 시험을 안전하게 한번에 통과하실 수 있다는 거죠.그리고 우리는 일년무료 업데이트서비스를 제공합니다.덤프가 업뎃이되면 우리는 모두 무료로 보내드립니다.만약 시험에서 실패한다면 우리 또한 덤프비용전액을 환불해 드립니다.

이 시험은 Azure AI 솔루션 설계 및 구현과 관련된 다양한 영역에서 후보자의 능력을 검증하기 위해 설계되었습니다. 이 시험은 AI 솔루션 개발, AI 앱 및 에이전트 설계 및 구현, AI 서비스를 Azure 솔루션에 통합하는 등의 주제를 다룹니다. 이 시험은 또한 자연어 처리(NLP), 컴퓨터 비전 및 지식 마이닝과 같은 고급 주제도 다룹니다.

최신 Azure AI Engineer Associate AI-102 무료샘플문제 (Q218-Q223):

질문 # 218
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
Use a single key and endpoint to access multiple services.
Consolidate billing for future services that you might use.
Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation

Box 1: PUT
Sample Request: PUT
https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/test-rg/ Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/


질문 # 219
You build a QnA Maker resource to meet the chatbot requirements.
Which RBAC role should you assign to each group? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:
Box 1: Cognitive Service User
Ensure that the members of a group named Management-Accountants can approve the FAQs.
Approve=publish.
Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services resource except for ability to:
1. Add new members to roles.
2. Create new resources.
Box 2: Cognitive Services QnA Maker Editor
Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
QnA Maker Editor: API permissions:
1. Create KB API
2. Update KB API
3. Replace KB API
4. Replace Alterations
5. "Train API" [in new service model v5]
Box 3: Cognitive Services QnA Maker Read
Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
QnA Maker Read: API Permissions:
1. Download KB API
2. List KBs for user API
3. Get Knowledge base details
4. Download Alterations
Generate Answer
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/role-based-access-control


질문 # 220
You are building an app by using the Speech SDK. The app will translate speech from French to German by using natural language processing.
You need to define the source language and the output language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

설명:


질문 # 221
You are building a Language Understanding solution.
You discover that many intents have similar utterances containing airport names or airport codes.
You need to minimize the number of utterances used to fram the model.
Which type of custom entity should you use?

정답:A

설명:
When many utterances differ only by airport names or codes, you don't want to list them all.
A Pattern.any entity acts as a placeholder for free-form input inside patterns, allowing the model to accept any word/phrase in that slot.
Machine-learning entities require lots of labeled utterances.
List entities work for fixed sets (e.g., specific known airport codes), but this scenario implies dynamic airport data.
Regex entities are for structured formats (like postal codes).
The Answer: A
Reference: Pattern.any entities in Language Understanding


질문 # 222
You are building an agent by using the Semantic Kernel. The agent will use a custom plugin. You need to ensure that the agent meets the following requirements:
* The agent must use function calling.
* All functions that match the instructions must be triggered.
* All required parameters in the function must be requested by the agent if the user fails to provide them.
How should you complete the code? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.

정답:

설명:

Explanation:

You are adding a custom plugin to a Semantic Kernel-based agent and you want function calling to be enforced and self-completing:
* To register a plugin that exposes one or more callable functions to the agent, use CreatePluginFromFunctions. This builds a plugin from Kernel functions (prompt- or code-based) and makes them available for tool/function calling by the model.
* To ensure the model must call functions (and request any required parameters it doesn't have), set the prompt execution settings to FunctionChoiceBehaviour.Required. In Semantic Kernel, this corresponds to the OpenAI tool/function-calling control that forces the assistant to invoke appropriate functions. When required parameters are marked in the function's schema, the assistant will ask follow- up questions to collect them before (or while) invoking the function.
References (Microsoft Azure AI Solution)
Semantic Kernel: Plugins and Functions, ChatCompletionAgent, OpenAIPromptExecutionSettings, and FunctionChoiceBehavior for enforced tool/function calling.


질문 # 223
......

AI-102인증시험 공부자료: https://www.itcertkr.com/AI-102_exam.html

그 외, Itcertkr AI-102 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=1ycL-1VhdpegKxu8C_6PqNTEYRN1V50A0