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Januar 8, 2025Januar 8, 2025 examdumpsTry Free and Start Using Realistic Verified AI-102 Dumps Instantly [Q121-Q136] 0 Kommentar

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AI-102 Actual Questions – Instant Download 326 Questions

NO.121 Sie entwickeln einen Dienst, der Vorlesungen in englischer Sprache (Vereinigtes Königreich) aufzeichnet.
Sie haben eine Methode mit dem Namen AppendToTranscriptFile, die den übersetzten Text und einen Sprachbezeichner enthält.
Sie müssen einen Code entwickeln, der den Teilnehmern Abschriften der Vorlesungen in ihrer jeweiligen Sprache zur Verfügung stellt. Die unterstützten Sprachen sind Englisch, Französisch, Spanisch und Deutsch.
Wie sollten Sie den Code ausfüllen? Wählen Sie zur Beantwortung die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

NR. 122 You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Erläuterung:

Box 1: Object projection
Object projections are JSON representations of the enrichment tree that can be sourced from any node.
Box 2: File projection
File projections are similar to object projections and only act on the normalized_images collection.
Referenz:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview

NR. 123 You need to develop an extract solution for the receipt images. The solution must meet the document processing requirements and the technical requirements.
You upload the receipt images to the From Recognizer API for analysis, and the API returns the following JSON.

Which expression should you use to trigger a manual review of the extracted information by a member of the Consultant-Bookkeeper group?

documentResults.docType == “prebuilt:receipt”

documentResults.fields.”.confidence < 0.7

documentResults.fields.ReceiptType.confidence > 0.7

documentResults.fields.MerchantName.confidence < 0.7

Need to specify the field name, and then use < 0.7 to handle trigger if confidence score is less than 70%.
Referenz:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/api-v2-0/reference-sdk-api-v2-0
Topic 2, Wide World Importers
Bestehendes Umfeld
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.
Anwendungen
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
Anforderungen
Geschäftliche Ziele
Wide World Importers wants to leverage AI technologies to differentiate itself from its competitors.
Geplante Änderungen
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.
Geschäftliche Anforderungen
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.

NR. 124 You are building a chatbot.
You need to use the Content Moderator service to identify messages that contain sexually explicit language.
Which section in the response from the service will contain the category score, and which category will be assigned to the message? To answer, select the appropriate options in the answer area, NOTE: Each correct selection is worth one point.

NR. 125 Wählen Sie die Antwort aus, die den Satz richtig vervollständigt.

NR. 126 You are developing a method that uses the Computer Vision client library. The method will perform optical character recognition (OCR) in images. The method has the following code.

During testing, you discover that the call to the GetReadResultAsync method occurs before the read operation is complete.
You need to prevent the GetReadResultAsync method from proceeding until the read operation is complete.
Which two actions should you perform? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.

Remove the Guid.Parse(operationId) parameter.

Add code to verify the results.Status value.

Add code to verify the status of the txtHeaders.Status value.

Wrap the call to GetReadResultAsync within a loop that contains a delay.

Erläuterung
Example code :
do
{
results = await client.GetReadResultAsync(Guid.Parse(operationId));
}
while ((results.Status == OperationStatusCodes.Running ||
results.Status == OperationStatusCodes.NotStarted));
Referenz:
https://github.com/Azure-Samples/cognitive-services-quickstart-code/blob/master/dotnet/ComputerVision/Comp

NR. 127 You are developing the knowledgebase by using Azure Cognitive Search.
You need to build a skill that will be used by indexers.
Wie sollten Sie den Code ausfüllen? Wählen Sie zur Beantwortung die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Erläuterung
Box 1: “categories”: [“Locations”, “Persons”, “Organizations”],
Locations, Persons, Organizations are in the outputs.
Scenario: Contoso plans to develop a searchable knowledgebase of all the intellectual property Note: The categories parameter is an array of categories that should be extracted. Possible category types:
“Person”, “Location”, “Organization”, “Quantity”, “Datetime”, “URL”, “Email”. If no category is provided, all types are returned.
Box 2: {“name”: ” entities”}
The include wikis, so should include entities in the outputs.
Note: entities is an array of complex types that contains rich information about the entities extracted from text, with the following fields name (the actual entity name. This represents a “normalized” form) wikipediaId wikipediaLanguage wikipediaUrl (a link to Wikipedia page for the entity) etc.
Referenz:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition

NR. 128 You have a question answering project in Azure Cognitive Service for Language.
You need to move the project to a Language service instance in a different Azure region.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arran ge them in the correct order.

Erläuterung:

NR. 129 You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Referenz:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview

NR. 130 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.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

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

NR. 131 You run the following command.

Wählen Sie für jede der folgenden Aussagen Ja, wenn die Aussage wahr ist. Andernfalls wählen Sie Nein.

Referenz:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto

NO.132 You Build a bot in JavaScript.
From the Azure Command-Line interface (CLI), you run the following command.
az bot prepare-deploy
You need to deploy the bot to Azure.
Which three Azure CLl commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the client order.

Erläuterung:
To deploy the bot to Azure, you should run the following three Azure CLI commands in sequence:
* az deployment group create This command will create the Azure resources for your bot using an ARM template and a parameters file. You need to specify the resource group name, the template file path, and the parameters file path. For example:
az deployment group create –resource-group myResourceGroup –template-file
“deploymentTemplates\template-with-preexisting-rg.json” –parameters
“deploymentTemplates\parameters-for-template-BotApp-with-rg.json”
This command will also output the app ID and password of your bot, which you will need for the next command1.
* az webapp deployment source config-zip This command will deploy your bot code to the app service that you created in the previous step. You need to specify the resource group name, the app service name, and the zip file path of your bot code. For example:
az webapp deployment source config-zip –resource-group myResourceGroup –name myBotAppService –src
“code.zip”
This command will also output the URL of your bot endpoint, which you will need for the next command2.
* az ad app update This command will update your bot registration with the endpoint URL of your bot.
You need to specify the app ID of your bot and the endpoint URL. For example:
az ad app update –id myBotAppId –set
replyUrls=”https://myBotAppService.azurewebsites.net/api/messages”
This command will complete the deployment process and make your bot ready to be tested3.

NR. 133 You are developing an application that includes language translation.
The application will translate text retrieved by using a function named getTextToBeTranslated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
Wie sollten Sie den Code ausfüllen? Wählen Sie zur Beantwortung die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

NR. 134 You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
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.
Möglicherweise müssen Sie die geteilte Leiste zwischen den Fenstern ziehen oder einen Bildlauf durchführen, um den Inhalt anzuzeigen.

Erläuterung:

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.
Referenz:
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

NR. 135 You are designing a content management system.
You need to ensure that the reading experience is optimized for users who have reduced comprehensive and learning differences, such as dyslexia.
Which Azure service should you include in the solution?

Azure AI Translator

Azure AI Document Intelligence

Azure AI Immersive Reader

Azure AI Language

NR. 136 For each of the following statements, select Yes if the statement is tine. Otherwise, select No. NOTE: Each correct selection is worth one point.