100%無料AI-102試験問題集で試験を簡単に合格させるFast2test
無料AI-102試験問題AI-102実際のリアル試験問題
質問 # 96
You have a web app that uses Azure Cognitive Search.
When reviewing billing for the app, you discover much higher than expected charges. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
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:
Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-api-keys
質問 # 97
You plan to build a chatbot to support task tracking.
You create a Language Understanding service named lu1.
You need to build a Language Understanding model to integrate into the chatbot. The solution must minimize development time to build 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. (Choose four.)
正解:
解説:
Explanation
1. Add a new application
2. Add a prebuilt domain intent ToDo (it has already utterances so we can skip this step)
3. Train
4. Publish
質問 # 98
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:
Explanation:
Box 1: Yes
Box 2: Yes
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-faces
質問 # 99
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?
- A. Identity
- B. Access control (IAM)
- C. Keys and Endpoint
- D. Properties
正解:C
解説:
Explanation
Obtain values to connect your bot to the knowledge base
1.In the QnA Maker site, select your knowledge base.
2.With your knowledge base open, select the SETTINGS tab. Record the value shown for service name. This value is useful for finding your knowledge base of interest when using the QnA Maker portal interface. It's not used to connect your bot app to this knowledge base.
3.Scroll down to find Deployment details and record the following values from the Postman sample HTTP request:
4.POST /knowledgebases/<knowledge-base-id>/generateAnswer
5.Host: <your-host-url>
6.Authorization: EndpointKey <your-endpoint-key>
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-qna
質問 # 100
You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding.
You need to develop a method to convert speech to text for streaming MP3 data.
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/cognitive-services/speech-service/how-to-use-codec-compressed-audio-input-streams?tabs=debian&pivots=programming-language-csharp
質問 # 101
You are building a customer support chatbot.
You need to configure the bot to identify the following:
* Code names for internal product development
* Messages that include credit card numbers
The solution must minimize development effort.
Which Azure Cognitive Service for Language feature should you use for each requirement? To answer, drag the appropriate features to the correct requirements. Each feature 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:
質問 # 102
You develop an app in O named App1 that performs speech-to-speech translation.
You need to configure App1 to translate English to German.
How should you complete the speechTransiationConf ig object? 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:
質問 # 103
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:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/what-are-cognitive-services
質問 # 104
You are building a customer support chatbot.
You need to configure the bot to identify the following:
* Code names for internal product development
* Messages that include credit card numbers
The solution must minimize development effort.
Which Azure Cognitive Service for Language feature should you use for each requirement? To answer, drag the appropriate features to the correct requirements. Each feature 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
D:\mudassar\Untitled.jpg
質問 # 105
You are developing the document processing workflow.
You need to identify which API endpoints to use to extract text from the financial documents. The solution must meet the document processing requirements.
Which two API endpoints should you identify? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. /vision/v3.2/read/analyzeResults
- B. /formrecognizer/v2.0/prebuilt/receipt/analyze
- C. /vision/v3.2/read/analyze
- D. /vision/v3.2/describe
- E. /formercognizer/v2.0/custom/models{modelId}/ analyze
正解:B、C
解説:
Explanation
C: Analyze Receipt - Get Analyze Receipt Result.
Query the status and retrieve the result of an Analyze Receipt operation.
Request URL: https://{endpoint}/formrecognizer/v2.0-preview/prebuilt/receipt/analyzeResults/{resultId} E: POST {Endpoint}/vision/v3.2/read/analyze Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents.
Scenario: Contoso plans to develop a document processing workflow to extract information automatically from PDFs and images of financial documents The document processing solution must be able to process standardized financial documents that have the following characteristics:
- Contain fewer than 20 pages.
- Be formatted as PDF or JPEG files.
- Have a distinct standard for each office.
*The document processing solution must be able to extract tables and text from the financial documents.
The document processing solution must be able to extract information from receipt images.
Reference:
https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/GetAnaly
https://docs.microsoft.com/en-us/rest/api/computervision/3.1/read/read
質問 # 106
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:
You have 1,000 untagged images and want to retrain the Custom Vision model as quickly as possible. The key is to avoid manually tagging every image, since that is time-consuming.
Step 1: Upload all the images
* First, bulk upload all the untagged images into the Custom Vision project.
* At this stage, they will have no labels.
Step 2: Get suggested tags
* The Custom Vision portal offers an auto-suggest feature that uses the current trained model to predict tags for new, untagged images.
* This dramatically reduces manual tagging effort.
Step 3: Review the suggestions and confirm the tags
* Auto-suggestions are not always 100% accurate, so you must confirm or correct them.
* Once confirmed, the dataset is labeled properly and ready for retraining.
Why not the other options?
* Upload the images by category / group into category folders: This is only helpful if the images already have known categories, but here they arrive untagged.
* Tag the images manually: This would take much longer and contradicts the requirement to minimize time.
* Upload all the images.
* Get suggested tags.
* Review the suggestions and confirm the tags.
* Custom Vision - Tag images
* Custom Vision - Suggested tags with predictions
質問 # 107
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 a chatbot that uses question answering in Azure Cognitive Service for Language Users report that the responses of the chatbot lack formality when answering spurious questions You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you change the chitchat source to qna_chitchat_professional.tsv. and then retrain and republish the model.
Does this meet the goal?
- A. No
- B. Yes
正解:A
質問 # 108
You are developing a new sales system that will process the video and text from a public-facing website.
You plan to notify users that their data has been processed by the sales system.
Which responsible AI principle does this help meet?
- A. fairness
- B. reliability and safety
- C. transparency
- D. inclusiveness
正解:C
解説:
When an AI application relies on personal data, such as a facial recognition system that takes images of people to recognize them; you should make it clear to the user how their data is used and retained, and who has access to it.
Transparency: AI systems should be understandable.
Reliability and safety: AI systems should perform reliably and safely.
Reference:
https://docs.microsoft.com/en-us/learn/paths/prepare-for-ai-engineering/
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai
質問 # 109
You plan to provision a QnA Maker service in a new resource group named RG1.
In RG1, you create an App Service plan named AP1.
Which two Azure resources are automatically created in RG1 when you provision the QnA Maker service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Language Understanding
- B. Azure Storage
- C. Azure SQL Database
- D. Azure Cognitive Search
- E. Azure App Service
正解:D、E
解説:
"When you create a QnAMaker resource, you host the data in your own Azure subscription. Azure Search is used to index your data." & "When you create a QnAMaker resource, you host the runtime in your own Azure subscription. App Service is the compute engine that runs the QnA Maker queries for you." Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/set-up-qnamaker-service-azure?tabs=v1#delete-azure-resources
質問 # 110
You have a file share that contains 5,000 images of scanned invoices.
You need to analyze the images. The solution must extract the following data:
* Invoice items
* Sales amounts
* Customer details
What should you use?
- A. Computer Vision
- B. Custom Vision
- C. Form Recognizer
- D. Immersive Reader
正解:C
解説:
* The requirement is to extract structured information (invoice items, sales amounts, customer details) from scanned invoice images.
* Form Recognizer (now part of Azure AI Document Intelligence) is specifically designed for extracting structured data from documents such as invoices, receipts, and business forms.
* Custom Vision # used for image classification or object detection, not for text/data extraction.
* Computer Vision # can extract text with OCR, but it doesn't provide structured field-level extraction for invoices.
* Immersive Reader # for accessibility (reading content aloud, translating text), not document data extraction.
The answer: D
Reference: Azure AI Document Intelligence (Form Recognizer)
質問 # 111
You are building an app that will use Azure AI to monitor workspaces for safety regulation compliance.
You need to recommend a service that meets the following requirements:
- Generates alerts when employees enter high-risk areas
- Monitors video feeds in real time
- Minimizes development effort
What should you recommend?
- A. Object detection in Azure AI Custom Vision
- B. Azure AI Vision Image Analysis
- C. Azure AI Video Indexer
- D. Azure AI Vision Spatial Analysis
正解:D
解説:
The Spatial Analysis container enables you to analyze real-time streaming video to understand spatial relationships between people, their movement, and interactions with objects in physical environments.
You can use Azure AI Vision Spatial Analysis to detect the presence and movements of people in video. Ingest video streams from cameras, extract insights, and generate events to be used by other systems. The service can do things like count the number of people entering a space or measure compliance with face mask and social distancing guidelines. By processing video streams from physical spaces, you can learn how people use them and maximize the space's value to your organization.
Reference:
https://docs.azure.cn/en-us/ai-services/computer-vision/intro-to-spatial-analysis-public-preview
質問 # 112
You are building an image sharing app that will use Azure AI to prevent users from sharing sexually explicit images.
You need to ensure that inappropriate images are identified correctly. The solution must minimize development effort.
What should you use?
- A. Azure AI Studio
- B. Vision Studio in Azure AI Vision
- C. Visual Studio
- D. Azure AI Content Safety Studio
正解:B
質問 # 113
Select the answer that correctly completes the sentence.
正解:
解説:
質問 # 114
You have a computer that contains the files shown in the following table.
Which files can you upload and analyze by using Azure Al Video Indexer?
- A. File1, File2, File3, and File4
- B. File3only
- C. File1 andFile3 only
- D. File1 only
- E. File1, File2, and File3 only
正解:E
質問 # 115
Hotspot Question
You are building an app that will process incoming email and direct messages to either French or English language support teams.
Which Azure AI Services API 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:
Box 1: api/cognitive.microsofttranslator.com is used for translations
Incorrect:
eastus.api.cognitive.microsoft.com is used for Face recognition.
Portal.azure.com is the URL of the Azure portal which is a web-based, unified console that provides an alternative to command-line tools. With the Azure portal, you can manage your Azure subscription using a graphical user interface. You can build, manage, and monitor everything from simple web apps to complex cloud deployments.
Box 2: /text/analytics/v3.1/languages
We only need to detect the language, so the Language Cognitive Service could be used, i.e.:
POST {Endpoint}/text/analytics/v3.0/languages
where Endpoint could be for example "westus"
https://docs.microsoft.com/en-us/rest/api/cognitiveservices-
textanalytics/3.0/languages/languages?tabs=HTTP
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate
https://westcentralus.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-
1/operations/EntitiesRecognitionGeneral
質問 # 116
You are building a Language Understanding model for an e-commerce platform. You need to construct an entity to capture billing addresses.
Which entity type should you use for the billing address?
- A. Regex
- B. list
- C. Pattern.any
- D. geographyV2
- E. machine learned
正解:A
解説:
Explanation
A regular expression entity extracts an entity based on a regular expression pattern you provide. It ignores case and ignores cultural variant. Regular expression is best for structured text or a predefined sequence of alphanumeric values that are expected in a certain format. For example:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types
質問 # 117
You have a Language Understanding solution that runs in a Docker container.
You download the Language Understanding container image from the Microsoft Container Registry (MCR).
You need to deploy the container image to a host computer.
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
質問 # 118
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 add the new images, and then use the Smart Labeler tool.
Does this meet the goal?
- A. No
- B. Yes
正解:A
解説:
The model need to be extended and retrained.
Note: Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.
質問 # 119
Hotspot Question
You are building a chatbot by using the Microsoft Bot Framework SDK.
You use an object named UserProfile to store user profile information and an object named ConversationData to store information related to a conversation.
You create the following state accessors to store both objects in state.
The state storage mechanism is set to Memory Storage.
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:
https://learn.microsoft.com/en-us/azure/bot-service/bot-builder-concept-state?view=azure-bot- service-4.0
https://learn.microsoft.com/en-us/azure/bot-service/bot-builder-howto-v4-state?view=azure-bot- service-4.0&tabs=csharp
質問 # 120
Select the answer that correctly completes the sentence.
正解:
解説:
Explanation:
account
The statement is:
"When provisioning an Azure Cosmos DB ______, you need to specify which type of API you will use." Options:
* account # Correct. When you create a Cosmos DB account, you must choose the API type (e.g., SQL API, MongoDB API, Cassandra API, Table API, Gremlin API). This decision defines the data model and query language. #
* container # A container is created inside a database (tables, collections, graphs) but does not determine the API type.
* database # Exists inside an account and inherits the API type from the account.
* item # Represents individual records/documents; not where the API is chosen.
Thus, the API choice is made at the account level.
The answer: account
* Azure Cosmos DB account overview
* Choose the right API for Cosmos DB
質問 # 121
......
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