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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。
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この試験は、複数選択の質問とパフォーマンスベースのタスクで構成されています。候補者は、Azure Servicesを使用してAIソリューションを設計および実装するスキルを実証することが期待されています。試験はオンラインで実施され、世界中のどこからでも撮影できます。
質問 # 140
You have a bot that was built by using the Microsoft Bot Framework composer as shown in the following exhibit.
Use the drop-down menus 10 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：
Explanation:
Comprehensive Detailed Explanation
Looking at the exhibit:
The GetWeather dialog is set up with a trigger phrase:
"what is the weather like in {city=Seattle}"
Here, city is an entity (ex: Seattle, New York, London, etc.).
1. User asks "what is the weather like in New York"
Since "New York" matches the city entity, the bot will correctly identify New York as a city entity.
It will not confuse it with a state entity, nor default to Seattle, because entity recognition extracts the correct city name dynamically.
Correct choice: Identify New York as a city entity
2. GetWeather dialog trigger
In Bot Framework Composer, the trigger type determines how the dialog is activated.
Since GetWeather is linked to the intent "GetWeather" from the Language Understanding model (LUIS
/CLU), the trigger is Language Understanding Intent recognized.
This means whenever the user utterance maps to the GetWeather intent, the dialog starts.
Correct choice: Language Understanding Intent recognized
The answer:
Identify New York as a city entity
Language Understanding Intent recognized
Microsoft References
Bot Framework Composer - Triggers
Entities in Conversational Language Understanding
質問 # 141
Match the Azure Cosmos DB APIs to the appropriate data structures.
To answer, drag the appropriate API from the column on the left to its data structure on the right. Each API may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
正解：
解説：
Explanation:
Azure Cosmos DB supports multiple APIs, each aligned to a specific data model:
* Gremlin API
* Designed for graph data.
* Stores vertices (nodes) and edges (relationships).
* Query language: Gremlin.
* Correct mapping: Graph data.
* MongoDB API
* Designed for document data using JSON.
* Supports MongoDB wire protocol.
* Correct mapping: JSON documents.
* Table API
* Designed for key-value data.
* Compatible with Azure Table Storage.
* Correct mapping: Key/value data.
* Cassandra API
* Designed for wide-column (column-family) data.
* Uses CQL (Cassandra Query Language).
* Not listed in the answer area, but if included, it maps to columnar data, not the options shown here.
Correct Mapping:
* Graph data # Gremlin API
* JSON documents # MongoDB API
* Key/value data # Table API
* APIs in Azure Cosmos DB
* Choose the right API for Azure Cosmos DB
Microsoft References
質問 # 142
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 develop an application to identify species of flowers by training a Custom Vision model.
You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You create a new model, and then upload the new images and labels.
Does this meet the goal?
正解：B
解説：
The model needs to be extended and retrained.
質問 # 143
You build a conversational bot named bot1.
You need to configure the bot to use a QnA Maker application.
From the Azure Portal, where can you find the information required by bot1 to connect to the QnA Maker application?
正解：A
解説：
Topic 1, Wide World Importers
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 Creation Requirements
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-Commerce Requirements
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-Go Requirements
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 # 144
You are building an Azure Weblob that will create knowledge bases from an array of URLs.
You instantiate a QnAMakerClient object that has the relevant API keys and assign the object to a variable named client.
You need to develop a method to create the knowledge bases.
Which two actions should you include in the method? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
正解：A、B
解説：
Comprehensive Detailed Explanation
The scenario:
You are building an Azure WebJob to create knowledge bases from an array of URLs.
You already have a QnAMakerClient object instantiated with the relevant API keys.
You need to know what steps are required to create a knowledge base programmatically.
Step 1 - Create a CreateKbDTO object
CreateKbDTO is the request payload for creating a knowledge base.
It contains the name of the knowledge base and its sources, which may include:
A list of URLs.
A list of QnA pairs ( QnADTO ).
A list of files ( FileDTO ).
In this case, since the WebJob provides URLs, they will be passed inside the CreateKbDTO.Sources property.
Step 2 - Call client.Knowledgebase.CreateAsync
Once the CreateKbDTO object is defined, you use the QnAMakerClient to send the request:
var response = await client.Knowledgebase.CreateAsync(createKbDTO);
This triggers the asynchronous creation of a new knowledge base in the QnA Maker service.
Why not A or C?
A). Create a list of FileDTO objects: Not required here, because the question specifies URLs, not files.
C). Create a list of QnADTO objects: Also not needed, since you're not directly supplying QnA pairs; the knowledge base will be built from URLs.
Correct Answer
B). Call the client.Knowledgebase.CreateAsync method.
D). Create a CreateKbDTO object.
Microsoft References
QnA Maker - Create Knowledge Base API
QnAMakerClient Class - Azure SDK for .NET
CreateKbDTO Class
質問 # 145
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