Shop Categories

 [email protected]

The following AI-102 questions are part of our Microsoft AI-102 real exam questions full version. There are 267 in our AI-102 full version. All of our AI-102 real exam questions can guarantee you success in the first attempt. If you fail AI-102 exam with our Microsoft AI-102 real exam questions, you will get full payment fee refund. Want to practice and study full verion of AI-102 real exam questions? Go now!

 Get AI-102 Full Version

Microsoft AI-102 Exam Actual Questions

The questions for AI-102 were last updated on Mar 28,2024 .

Viewing page 1 out of 6 pages.

Viewing questions 1 out of 32 questions

Question#1

HOTSPOT
You build a QnA Maker resource to meet the chatbot requirements.
Which RBAC role should you assign to each group? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.


A. 

Explanation:
Box 1: Cognitive Service User
Ensure that the members of a group named Management-Accountants can approve the FAQs.
Approve=publish.
Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services resource except for ability to:

Question#2

You are developing the chatbot.
You create the following components:
* A QnA Maker resource
* A chatbot by using the Azure Bot Framework SDK.
You need to integrate the components to meet the chatbot requirements.
Which property should you use?

A. QnADialogResponseOptions.CardNoMatchText
B. Qna MakerOptions-ScoreThreshold
C. Qna Maker Op t ions StrickFilters
D. QnaMakerOptions.RankerType

Explanation:
Scenario: When the response confidence score is low, ensure that the chatbot can provide other response options to the customers.
When no good match is found by the ranker, the confidence score of 0.0 or "None" is returned and the default response is "No good match found in the KB". You can override this default response in the bot or application code calling the endpoint. Alternately, you can also set the override response in Azure and this changes the default for all knowledge bases deployed in a particular QnA Maker service.
Choosing Ranker type: By default, QnA Maker searches through questions and answers. If you want to search through questions only, to generate an answer, use the RankerType=QuestionOnly in the POST body of the GenerateAnswer request.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/best-practices

Question#3

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

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/GetAnalyzeReceiptResult
https://docs.microsoft.com/en-us/rest/api/computervision/3.1/read/read

Question#4

You are developing the chatbot.
You create the following components:
• A QnA Maker resource
• A chatbot by using the Azure Bot Framework SDK
You need to add an additional component to meet the technical requirements and the chatbot requirements.
What should you add?

A. Dispatch
B. chatdown
C. Language Understanding
D. Microsoft Translator

Explanation:
Scenario: All planned projects must support English, French, and Portuguese.
If a bot uses multiple LUIS models and QnA Maker knowledge bases (knowledge bases), you can use the Dispatch tool to determine which LUIS model or QnA Maker knowledge base best matches the user input. The dispatch tool does this by creating a single LUIS app to route user input to the correct model.
Reference: https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch

Question#5

HOTSPOT
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.


A. 

Explanation:
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.
Reference: https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition

Exam Code: AI-102Q & A: 267 Q&AsUpdated:  Mar 28,2024

 Get AI-102 Full Version

TOP Exams