AI-102試験問題集、AI-102練習テスト問題
PDF問題（2026年最新）実際のMicrosoft AI-102試験問題
Microsoft AI-102試験は、ビジネス要件を満たすAIソリューションを設計および実装する能力を評価します。データ前処理、特徴量エンジニアリング、モデルトレーニング、モデルデプロイメント、監視など、広範なトピックをカバーしています。候補者は、機械学習アルゴリズム、PythonやRなどのプログラミング言語、Azureストレージ、Azure Kubernetesサービス、Azure FunctionsなどのAzureサービスについて良好な理解を持つ必要があります。
試験は、自然言語処理、コンピュータビジョン、音声認識など幅広いトピックをカバーしています。候補者は、Azure Cognitive Services、Bot Services、Azure Machine Learningの徹底的な理解を持ち、拡張可能で安全かつ信頼性の高いAIソリューションを設計・実装することが求められます。
質問 # 191
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent namedPurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [[email protected]] You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type 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.
正解：
解説：
Explanation:
Graphical user interface, application Description automatically generated
Box 1: GeographyV2
The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents.
Box 2: Email
Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an utterance.
Because this entity is already trained, you do not need to add example utterances containing email to the application intents.
Box 3: Machine learned
The machine-learning entity is the preferred entity for building LUIS applications.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity
質問 # 192
You have a chatbot.
You need to test the bot by using the Bot Framework Emulator. The solution must ensure that you are prompted for credentials when you sign in to the bot.
Which three settings should you configure? To answer, select the appropriate settings in the answer area.
NOTE Each correct selection is worth one point.
正解：
解説：
質問 # 193
You need to upload speech samples to a Speech Studio project. How should you upload the samples?
- A. Upload individual audio files in the .wma format.
- B. Upload individual audio files in the FLAC format and manually upload a corresponding transcript in Microsoft Word format.
- C. Upload a .zip file that contains a collection of audio files in the .wav format and a corresponding text transcript file.
- D. Combine the speech samples into a single audio file in the .wma format and upload the file.
正解：C
解説：
Explanation
To upload your data, navigate to the Speech Studio . From the portal, click Upload data to launch the wizard and create your first dataset. You'll be asked to select a speech data type for your dataset, before allowing you to upload your data.
The default audio streaming format is WAV
Use this table to ensure that your audio files are formatted correctly for use with Custom Speech:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-custom-speech-test-and-train
質問 # 194
You have a library that contains thousands of images.
You need to tag the images as photographs, drawings, or clipart.
Which service endpoint and response property should you use? 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 # 195
You have an Azure subscription that contains an Azure OpenAI resource named AH.
You need to analyze an image to obtain a text descnption.
Which four actions should you perform in sequence from Azure OpenAI Studio? 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：
質問 # 196
You are designing a conversational interface for an app that will be used to make vacation requests. The interface must gather the following data:
* The start date of a vacation
* The end date of a vacation
* The amount of required paid time off
The solution must minimize dialog complexity. Which type of dialog should you use?
- A. component
- B. Skill
- C. adaptive
- D. waterfall
正解：A
質問 # 197
You are building a solution that students will use to find references for essays. You use the following code to start building the solution.
For each of the following statements, select Yes is the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation
質問 # 198
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation:
質問 # 199
You have an app named App1 that uses an Azure Cognitive Services model to identify anomalies in a time series data stream. You need to run App1 in a location that has limited connectivity. The solution must minimize costs. What should you use to host the model?
- A. Azure Container instances
- B. a Kubernetes cluster hosted in an Azure Stack Hub integrated system
- C. Azure Kubernetes Services (AKS)
- D. the Docker Engine
正解：A
質問 # 200
You are developing a solution for the Management-Bookkeepers group to meet the document processing requirements. The solution must contain the following components:
A From Recognizer resource
An Azure web app that hosts the Form Recognizer sample labeling tool
The Management-Bookkeepers group needs to create a custom table extractor by using the sample labeling tool.
Which three actions should the Management-Bookkeepers group perform in sequence? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.
正解：
解説：
Explanation
Step 1: Create a new project and load sample documents
Create a new project. Projects store your configurations and settings.
Step 2: Label the sample documents
When you create or open a project, the main tag editor window opens.
Step 3: Train a custom model.
Finally, train a custom model.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool
質問 # 201
You build a bot by using the Microsoft Bot Framework SDK.
You need to test the bot interactively on a local machine.
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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
正解：
解説：
Explanation:
質問 # 202
You are developing the knowledgebase by using Azure Cognitive Search.
You need to build a skill that will be used by indexers.
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：
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition
質問 # 203
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation
質問 # 204
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following requirements:
* Prevent access to Search1 from the internet.
* Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.
正解：
解説：
Explanation
質問 # 205
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 build a language model by using Conversational Language Understanding. The language model is used to search for information on a contact list by using an intent named Findcontact. A conversational expert provides you with the following list of phrases to use for training:
- Find contacts in London.
- Who do I know in Seattle?
- Search for contacts in Ukraine.
You need to implement the phrase list in Conversational Language Understanding.
Solution: You create a new utterance for each phrase in the FindContact intent.
Does this meet the goal?
- A. No
- B. Yes
正解：A
解説：
https://learn.microsoft.com/en-us/azure/cognitive-services/luis/concepts/application- design#create-example-utterances-for-each-intent To start, avoid creating too many utterances for each intent. Once you have determined the intents you need for your app, create 15 to 30 example utterances per intent. Each utterance should be different from the previously provided utterances. Include a variety of word counts, word choices, verb tenses, and punctuation.
質問 # 206
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation:
質問 # 207
What ate two uses of data visualization? Each correct answer presents a complete solution.
NOTE:
Each correct selection is worth one point.
- A. Communicate the significance of data.
- B. Enforce business logic across reports.
- C. Implement machine learning to predict future values.
- D. Represent trends and patterns over time.
正解：A、D
質問 # 208
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 # 209
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
正解：
解説：
Explanation:
There are two main types of data workloads: Batch and Streaming.
* Batch Workload
* Processes data in large groups (batches) at scheduled intervals.
* Common when real-time is not required.
* Examples: daily sales reports, hourly data refreshes, periodic ETL (Extract, Transform, Load).
* Streaming Workload
* Processes data in real time or near real time as it arrives.
* Used for scenarios where immediate insights or actions are required.
* Examples: fraud detection, IoT sensor monitoring, live purchase tracking.
* "Data for a product catalog will be loaded every 12 hours to a data warehouse."
* This is scheduled, not continuous. # Batch
* "Thousands of data sets per second for online purchases will be loaded into a data warehouse in real time."
* This requires real-time processing. # Streaming
* "Updates to inventory data will be loaded to a data warehouse every 1 million transactions."
* Data is grouped and loaded after reaching a threshold (1 million). # Batch Correct Matches:
* Product catalog (12 hours) # Batch
* Online purchases (real time) # Streaming
* Inventory data (1 million transactions) # Batch
* Batch processing vs. Stream processing in Azure
* Azure Stream Analytics overview
* Data processing approaches: Batch vs Real-time
質問 # 210
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Microsoft AI-102は、Microsoft Azureプラットフォーム上でAIソリューションを設計および実装するプロフェッショナルのスキルをテストするために設計された認定試験です。この試験は、Azureテクノロジーでの作業経験を持ち、AIエンジニア、データサイエンティスト、および開発者を対象としており、彼らの専門知識を証明することを目的としています。
更新された2026年03月合格させるAI-102試験リアル練習テスト問題：https://www.jpntest.com/shiken/AI-102-mondaishu
問題集返金保証付きのAI-102問題集には90%オフ：https://drive.google.com/open?id=1JlrguBryrFTu-TZAxFq6QECCaKhujc_-