2026年最新の有効なAI-102試験最新問題で2026年最新の学習ガイド [Q59-Q79]

2026年最新の有効なAI-102試験最新問題で2026年最新の学習ガイド

AI-102認定で究極のガイド [2026年更新]

AI-102認定試験は、Azure Servicesを使用してAIソリューションの設計と実装を担当する個人向けに設計されています。この試験では、自然言語処理、コンピュータービジョン、機械学習、データストレージと処理など、幅広いトピックをカバーしています。また、AIソリューションの開発と展開に使用されるツールとテクノロジーもカバーしています。

質問 # 59
You have a chatbot that uses a QnA Maker application.
You enable active learning for the knowledge base used by the QnA Maker application.
You need to integrate user input into the model.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

正解：

解説：

1 - For the knowledge base, select Show active learning suggestions.
2 - Approve and reject suggestions.
3 - Save and train the knowledge base.
Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base

質問 # 60
You are developing an application that will use the Computer Vision client library. The application has the following code.

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

正解：

解説：

Explanation
Box 1: No
Box 2: Yes
Box 3: No

質問 # 61
You are developing an internet-based training solution for remote learners.
Your company identifies that during the training, some learners leave their desk for long periods or become distracted.
You need to use a video and audio feed from each learner's computer to detect whether the learner is present and paying attention. The solution must minimize development effort and identify each learner.
Which Azure Cognitive Services service should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation
Graphical user interface, text, application, email Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/what-are-cognitive-services

質問 # 62
You train an Azure Custom Vision object detection model to identify a company's products by using the Retail domain.
You plan to deploy the model as part of a mobile app for Android phones.
You need to prepare the model for deployment.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

正解：

解説：

Explanation:

For deployment to a mobile app (Android), Custom Vision requires a compact domain so the model can be exported and run on-device (e.g., as TensorFlow Lite or ONNX). The model was trained using the Retail domain, which is not an exportable compact domain for object detection. Therefore:
* Change the model domain to an exportable Object Detection (compact) domain (e.g., General
[compact]).
* Retrain the model so weights are learned under the new domain-domain changes require retraining.
* Export the model for Android (typically TensorFlow Lite or ONNX) and integrate it into the app.
This sequence prepares the model for on-device mobile deployment with minimal extra development.
References (Microsoft Azure AI Solution)
* Custom Vision: Only compact domains support model export for edge/mobile.
* Changing a domain requires retraining the iteration.
* Exporting object detection models supports TensorFlow/TensorFlow Lite/ONNX formats for Android integration.

質問 # 63
You create a knowledge store for Azure Cognitive Search by using the following JSON.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE Each correct selection is worth one point.

正解：

解説：

質問 # 64
Select the answer that correctly completes the sentence.

正解：

解説：

Explanation

質問 # 65
You have an app that uses an Azure Al Foundry Content Safety blocklist.
You need to remove an entry from the blocklist The solution must minimize the impact on existing entries on the list.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:

質問 # 66
You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.

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

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-faces

質問 # 67
You are building a chatbot by using the Microsoft Bot Framework Composer as shown in the exhibit. (Click theExhibittab.)

The chatbot contains a dialog named GetUserDetails. GetUserDetails contains a TextInput control that prompts users for their name.
The user input will be stored in a property namedname.
You need to ensure that you can dispose of the property when the last active dialog ends.
Which scope should you assign toname?

A. dialog
B. conversation
C. user
D. curn

正解：A

解説：
The dialog scope associates properties with the active dialog. Properties in the dialog scope are retained until the dialog ends.
Reference:
https://docs.microsoft.com/en-us/composer/concept-memory?tabs=v2x

質問 # 68
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Cognitive Search service.
During the past 12 months, query volume steadily increased.
You discover that some search query requests to the Cognitive Search service are being throttled.
You need to reduce the likelihood that search query requests are throttled.
Solution: You enable customer-managed key (CMK) encryption.
Does this meet the goal?

A. No
B. Yes

正解：A

解説：
Customer-managed key (CMK) encryption does not affect throttling.
Instead, you could migrate to a Cognitive Search service that uses a higher tier.
Note: A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis

質問 # 69
You have a factory that produces food products.
You need to build a monitoring solution for staff compliance with personal protective equipment (PPE) requirements. The solution must meet the following requirements:
* identify staff who have removed masks or safety glasses.
* Perform a compliance check every 15 minutes.
* Minimize development effort.
* Minimize costs.
Which service should you use?

A. Azure Video Analyzer for Media (formerly Video indexer)
B. Face
C. Computer Vision

正解：B

質問 # 70
You develop an application that uses the Face API.
You need to add multiple images to a person group.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:
You're adding multiple images for each person into a PersonGroup using the Face API SDK.
* File.OpenRead(imagePath) returns a Stream, so the using declaration must declare Stream t = File.
OpenRead(imagePath).
* To upload an image from a stream to a person in a person group, callfaceClient.PersonGroupPerson.
AddFaceFromStreamAsync(personGroupId, personId, t);
Putting it together:
Parallel.For(0, PersonCount, async i =>
{
Guid personId = persons[i].PersonId;
string personImageDir = $"/path/to/person/{i}/images";
foreach (string imagePath in Directory.GetFiles(personImageDir, "*.jpg"))
{
using (Stream t = File.OpenRead(imagePath))
{
await faceClient.PersonGroupPerson.AddFaceFromStreamAsync(
personGroupId, personId, t);
}
}
});
This loops the images for each person, opens each as a stream, and adds the face to the specified person in the person group.
* Microsoft Docs - Face API: Add a face to a person (AddFaceFromStreamAsync, AddFaceFromUrlAsync) in PersonGroupPerson operations.https://learn.microsoft.com/azure/ai-services
/face/ (see SDK/PersonGroupPerson methods)
* .NET File.OpenRead returns Stream.https://learn.microsoft.com/dotnet/api/system.io.file.openread

質問 # 71
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:

質問 # 72
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 Al Document Intelligence
B. Azure Al Phi-3-medium with fine-tuning
C. Azure A1 Language Custom question answering
D. Azure OpenA1 GPI-4 with grounding data that uses Azure Al Search

正解：C

解説：
To build a product support chatbot from a product support manual with minimal development effort and cost, use Custom question answering (CQA) in Azure AI Language. CQA lets you ingest files (including manuals
/FAQs), automatically extract Q&A, author answers where needed, and expose a ready-to-call endpoint that plugs straight into Azure Bot Service-no fine-tuning or complex retrieval stack required.
* Not A (Phi-3 with fine-tuning): fine-tuning adds cost/complexity and isn't necessary for a manual- based Q&A bot.
* Not C (GPT-4 with grounding via Azure AI Search): powerful but more engineering and cost (indexing, RAG orchestration) than needed.
* Not D (Document Intelligence): focuses on OCR/structured data extraction, not conversational Q&A.
References (Microsoft Docs):
* Custom question answering overview and scenario (create a conversational layer over your data; supports manuals/FAQs).
* CQA supports unstructured documents and quick setup in Language Studio/Azure AI Foundry.

質問 # 73
You have an Azure subscription that contains an Azure Al Language service resource named Resourcel. You query Resourcel by running a cURL command and receive the following response.

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

正解：

解説：

Explanation:

質問 # 74
Hotspot Question
You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-add-media- attachments?view=azure-bot-service-4.0&tabs=csharp

質問 # 75
You train a Custom Vision model used in a mobile app.
You receive 1,000 new images that do not have any associated data.
You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model.
Which three actions should you perform in the Custom Vision portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

正解：

解説：

Explanation:
1.) upload all the images
2.) Get suggested tags
3.) Review the suggestions and confirm the tags
reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/suggested-tags

質問 # 76
You are building a call handling system that will perform the following actions:
Accept incoming voicemails in French.
Convert voicemails from French to English.
Which Azure Speech in Foundry Tools SDK class should you use for each action? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:

質問 # 77
Select the answer that correctly completes the sentence.

正解：

解説：

Explanation:

Topic 2, Wide World Importers
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click theNextbutton. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has anAll Informationtab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click theQuestionbutton to return to the question.
Overview
Existing Environment
A company named Wide World Importers is developing an e-commerce platform.
You are working with a solutions architect to design and implement the features of the e-commerce platform.
The platform will use microservices and a serverless environment built on Azure.
Wide World Importers has a customer base that includes English, Spanish, and Portuguese speakers.
Applications
Wide World Importers has an App Service plan that contains the web apps shown in the following table.

Azure Resources
You have the following resources:
* An Azure Active Directory (Azure AD) tenant
* The tenant supports internal authentication.
* All employees belong to a group named AllUsers.
* Senior managers belong to a group named LeadershipTeam.
* An Azure Functions resource
* A function app posts to Azure Event Grid when stock levels of a product change between OK, Low Stock, and Out of Stock. The function app uses the Azure Cosmos DB change feed.
* An Azure Cosmos DB account
* The account uses the Core (SQL) API.
* The account stores data for the Product Management app and the Inventory Tracking app.
* An Azure Storage account
* The account contains blob containers for assets related to products.
* The assets include images, videos, and PDFs.
* An Azure Cognitive Services resource named wwics
* A Video Indexer resource named wwivi
Requirements
Business Goals
Wide World Importers wants to leverage AI technologies to differentiate itself from its competitors.
Planned Changes
Wide World Importers plans to start the following projects:
* A product creation project: Help employees create accessible and multilingual product entries, while expediting product entry creation.
* A smart e-commerce project: Implement an Azure Cognitive Search solution to display products for customers to browse.
* A shopping on-the-go project: Build a chatbot that can be integrated into smart speakers to support customers.
Business Requirements
Wide World Importers identifies the following business requirements for all the projects:
* Provide a multilingual customer experience that supports English, Spanish, and Portuguese.
* Whenever possible, scale based on transaction volumes to ensure consistent performance.
* Minimize costs.
Governance and Security Requirements
Wide World Importers identifies the following governance and security requirements:
* Data storage and processing must occur in datacenters located in the United States.
* Azure Cognitive Services must be inaccessible directly from the internet.
Accessibility Requirements
Wide World Importers identifies the following accessibility requirements:
* All images must have relevant alt text.
* All videos must have transcripts that are associated to the video and included in product descriptions.
* Product descriptions, transcripts, and all text must be available in English, Spanish, and Portuguese.
Product CreationRequirements
Wide World Importers identifies the following requirements for improving the Product Management app:
* Minimize how long it takes for employees to create products and add assets.
* Remove the need for manual translations.
Smart E-CommerceRequirements
Wide World Importers identifies the following requirements for the smart e-commerce project:
* Ensure that the Cognitive Search solution meets a Service Level Agreement (SLA) of 99.9% availability for searches and index writes.
* Provide users with the ability to search insight gained from the images, manuals, and videos associated with the products.
* Support autocompletion and autosuggestion based on all product name variants.
* Store all raw insight data that was generated, so the data can be processed later.
* Update the stock level field in the product index immediately upon changes.
* Update the product index hourly.
Shopping On-the-GoRequirements
Wide World Importers identifies the following requirements for the shopping on-the-go chatbot:
Answer common questions.
* Support interactions in English, Spanish, and Portuguese.
* Replace an existing FAQ process so that all Q&A is managed from a central location.
* Provide all employees with the ability to edit Q&As. Only senior managers must be able to publish updates.
* Support purchases by providing information about relevant products to customers. Product displays must include images and warnings when stock levels are low or out of stock.
Product JSON Sample
You have the following JSON sample for a product.

質問 # 78
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:

You are calling the Face API to find similar faces from an existing list called employeefaces.
Key facts from the scenario:
The list contains 60,000 images.
In Face API:
faceListId # limited to 1,000 faces.
largeFaceListId # designed for very large lists, up to 1,000,000 faces.
Since employeefaces has 60,000 images, you must use LargeFaceListId, not faceListId.
Parameters in the Request Body
" faceId " : " 18c51a87-3a69-47a8-aedc-a54745f708a1 "
This is the face to search for.
" largeFaceListId " : " employeefaces "
Must use LargeFaceListId because the list has 60,000 images.
" maxNumOfCandidatesReturned " : 1
Limits the number of matches returned.
" mode " : " matchFace "
Two options exist:
" matchFace " # returns the most similar individual faces.
" matchPerson " # groups faces by person.
Since the requirement is find similar faces, use " matchFace " .
Completed Answer
{
" faceId " : " 18c51a87-3a69-47a8-aedc-a54745f708a1 " ,
" largeFaceListId " : " employeefaces " ,
" maxNumOfCandidatesReturned " : 1 ,
" mode " : " matchFace "
}
Correct Values to Drag and Drop
LargeFaceListId # " employeefaces "
matchFace # " mode "
Final Answer:
First blank: LargeFaceListId
Second blank: matchFace
Microsoft References
Face API - Find Similar
Face API - Large Face List operations