無論您是新人還是具有更多經驗老手，AI-103學習材料都將是你們的最佳選擇，因為這是我們的專業人士根據多年來的考試大綱和行業趨勢的變化進行編輯的。 AI-103測試題庫：Developing AI Apps and Agents on Azure不僅可以幫助您提高學習效率，還可以幫助您將復習時間從長達幾個月縮短到一個月甚至兩三週，這樣您就可以使用最少的時間和精力獲得最大提升。

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考試前只需20-30小時的學習時間

在此之前，您可能需要數月甚至一年的時間來準備專業考試，但使用AI-103考試指南，您只需要在考試前花費20-30小時進行複習即可。並且使用我們的學習材料，您將不再需要任何其他復習材料，因為我們的學習材料已包含所有重要的測試點。與此同時，AI-103學習材料將為您提供全新的學習方法 - 讓您練習過程中的掌握知識。有許多人因閱讀書籍而感到頭疼，因為裡面有很多難以理解的知識。與此同時，教科書中那些無聊的描述常常讓人感到困倦。但是使用AI-103測試題庫：Developing AI Apps and Agents on Azure，你將不再有這些煩惱。

購買前免費試用

AI-103學習資料為消費者提供免費試用服務。如果您對我們的學習資料感興趣，您只需要進入我們的官方網站，您就可以免費下載並體驗我們的試用問題庫。通過試用，您將在AI-103考試指南中獲得不同的學習經歷，您會發現我們所說的不是謊言，您將立即愛上我們的產品。作為您成功的關鍵，我們的學習材料可以為您帶來的好處不是靠金錢衡量的。 AI-103測試題庫：Developing AI Apps and Agents on Azure不僅可以幫助您通過考試，還可以幫助您掌握一套新的學習方法，並教您如何高效學習，我們的學習材料將引領您走向成功。

模擬考試功能

AI-103學習資料的內容全部由行業專家根據多年來的考試大綱和行業發展趨勢編制而成。它與市場上問題庫的內容不重疊，避免了反复練習引起的疲勞。 AI-103考試指南不是一個拼湊的測試題，而是有自己的系統和層次結構，可以使用戶有效地提高效率。我們的學習材料包含由考試專家根據不同科目的特點和範圍編寫的試題。模擬真實的Developing AI Apps and Agents on Azure測試環境。測試結束後，系統還會給出總分和正確率。

Microsoft AI-103 考試大綱主題:

最新的 Azure AI Engineer Associate AI-103 免費考試真題：

1. You are deploying a support agent that enables users to upload photos.
You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels.
What should you do?

A) Apply keyword scanning to optical character recognition (OCR) output by using Azure Vision in Foundry Tools.
B) Enable prompt shields.
C) Implement image moderation.
D) Use blocklists.

2. You have a Microsoft Foundry project that contains an agent. The agent uses two tools to perform the following actions:
- Use Azure AI Search to retrieve answers from a private product
documentation index.
- Use the web search tool to retrieve public information on the
internet.
You need to ensure that for a specific run, the agent deterministically retrieves information only from the internet.
To what should you set tool_choice?

A) {"type": "bing_grouding"}
B) "auto"
C) "required"
D) {"type": "azure_ai-search"}

3. You have a product support manual.
You need to build a product support chatbot based on the manual. The solution must minimize development effort and costs.
What should you use?

A) Azure AI Language Custom question answering
B) Azure OpenAI GPT-4 with grounding data that uses Azure AI Search
C) Azure AI Phi-3-medium with fine-tuning
D) Azure AI Document intelligence

4. Case Study 1 - Contoso, Ltd
Overview
Company Information
Contoso, Ltd is a multinational retail company that builds, deploys, and manages generative AI and agent-based solutions by using Microsoft Foundry.
Existing Environment
Identity Environment
Contoso uses Microsoft Entra ID for identity management, authentication, and authorization capabilities that enable agents to access organizational resources and services.
Contoso recently formed a new AI engineering team named Agent1Dev Team to optimize and maintain existing AI solutions.
The team collaborates with solution architects, DevOps engineers, and security engineers to design, implement. monitor, and secure AI applications.
Contoso also has a team named Agent1Test Team that is responsible for validating AI solutions before the solution deployments.
Generative Environment
Contoso has a Microsoft Foundry deployment that contains two projects named Project1 and Project2.
Project1
Project1 contains a customer support agent named Agent1 that assists customers with product inquiries and troubleshooting requests.
Agent1 has the following configurations:
- Agent1 uses a base model deployment.
- A safety evaluation pipeline is NOT enabled.
- Tool invocation approval workflows are NOT enabled.
- Conversation memory constraints are NOT configured.
Agent1 interacts with customers by using digital support channels and answers general questions about Contoso products.
Project1 is deployed to an Azure region located in the European Union (EU).
Agent1Dev Team will use Project1 to optimize and maintain Agent1.
Project2
Project2 contains a deployed video generation model. The marketing department at Contoso has access to Project2 and plans to use the model to develop a video creation solution.
Development of the solution is incomplete.
Data Environment
Contoso stores product-related information in Azure resources that support AI applications.
The Azure environment contains an Azure Blob Storage account named storage1 that stores product detail sheets for all the Contoso products.
The product sheets include specifications, feature descriptions, and product support information that Agent1 can use to answer customer questions. The product sheets are stored in the PDF format.
Problem Statements
Contoso identifies the following issues:
- Agent1 has only general knowledge of the Contoso products.
- A recent chat interaction with Agent1 was analyzed for sentiment. The results of the analysis have NOT been processed yet.
- Agent1 does NOT use the detailed product information in the product sheets stored in storage1 when responding to customer questions.
- The finance department at Contoso reports that vendor invoices must be reviewed manually to ensure that the invoices match the terms defined in the vendor contracts. The invoices contain tables, logos, and varied layouts that make the documents difficult to process consistently.
Requirements
Planned Changes
Contoso plans to implement the following changes:
- Implement a solution for Project1 that analyzes the vendor invoices by evaluating both the visual layout and the textual content of the invoices, so that the invoice details can be verified against the vendor contract terms.
- Update the base model deployment used by Agent1 and standardize the model version to ensure continuity and consistent responses.
- Enable Agent1 to retrieve and use the detailed product information from the product sheets stored in storage1.
- Implement an indexing solution for the product sheets that Agent1 can use to answer customer questions.
- Complete the development of the video creation solution.
Technical Requirements
Contoso identifies the following technical requirements:
- The model deployment used by Agent1 must support scalable, high-throughput generative AI workloads and dynamically scale to handle variable customer support traffic, without requiring reserved throughput capacity.
- The product sheets must be processed by using an indexing pipeline that enables semantic and vector search, so that Agent1 can retrieve the relevant product information.
- Responses generated by using the product sheet information must be relevant, complete, and accurate.
- Agent1 must be able to use the product sheets to answer natural language questions about product details.
- The model version used by Agent1 must remain consistent to ensure stable responses.
- The data processed by the model must remain within the EU.
Security and Compliance Requirements
Contoso identifies the following security and compliance requirements:
- API keys must NOT be used to access Foundry-deployed models.
- Access to the Azure resources must follow the principle of least privilege.
- The developers at Contoso must authenticate to Microsoft Foundry resources by using Microsoft Entra authentication.
- Access to Project1 must be assigned to the members of Agent1Dev Team by using a security group named SC_Agent1_Dev.
- Access to Project1 must be assigned to the members of Agent1Test Team by using a security group named SC_Agent1_Test.
- Agent1 must never reveal customer information, even if a document that contains customer data is added erroneously to the product sheet repository in storage1.
- The product sheets might contain images that include embedded text. Agent1 must be protected from malicious instructions potentially hidden within the images.
Business Requirements
Contoso identifies the following business requirements:
- Users that interact with Agent1 must have a personalized experience in future interactions, including the ability for Agent1 to retain conversation context and recall relevant information from previous interactions.
- Agent1 must answer questions only about the products sold by Contoso.
You need to configure Agent1 to answer customer questions about only the Contoso products.
The solution must meet the business requirements. What should you do?

A) Apply top-p sampling.
B) Modify the system message instructions.
C) Increase the value of the temperature parameter.
D) Add few-shot examples.

5. You have a large collection of image files and PDF documents stored in an Azure Storage account. The documents contain tabular data.
You need to extract the tables into a structured format that can be imported into a database. The solution must minimize development effort. What should you use?

A) Azure Document Intelligence in Foundry Tools
B) Azure Content Understanding in Foundry Tools
C) Azure Vision in Foundry Tools
D) Azure AI Video Indexer

問題與答案：