Practice Free AI-102 Exam Online Questions
DRAG DROP
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question "What is your warranty period?"
Users report that the chatbot returns the default QnA Maker answer when they ask the following question "How long is the warranty coverage?"
The chatbot returns the correct answer when the users ask the following question ‘What is your warranty period?"
Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
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. (Choose three.)

Explanation:
Step 1: Add alternative phrasing to the question and answer (QnA) pair.
Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query.
Step 2: Retrain the model.
Periodically select Save and train after making edits to avoid losing changes.
Step 3: Republish the model
Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
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
D
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
You are building an Al solution that will use Sentiment Analysis results from surveys to calculate bonuses for customer service staff. You need to ensure that the solution meets the Microsoft responsible Al principles.
What should you do?
- A . Add a human review and approval step before making decisions that affect the staffs financial situation
- B . Include the Sentiment Analysis results when surveys return a low confidence score.
- C . Use all the surveys, including surveys by customers who requested that their account be deleted and their data be removed.
- D . Publish the raw survey data to a central location and provide the staff with access to the location.
You develop a custom question answering project in Azure Cognitive Service for Language. The project will be used by a chatbot. You need to configure the project to engage in multi-turn conversations.
What should you do?
- A . Add follow-up prompts.
- B . Enable active learning.
- C . Add alternate questions.
- D . Enable chit-chat.
DRAG DROP
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all. NOTE: Each correct match is worth one point.

HOTSPOT
You have an Azure subscription that has the following configurations:
• Subscription ID: 8d3591aa-96b8-4737-ad09-OOf9b1ed35ad
• Tenant ID: 3edfe572-cbS4-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition
(OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

HOTSPOT
You have an Azure subscription.
You plan to build a solution That will analyze scanned documents and export relevant fields to a database.
You need to recommend which Azure Al service to deploy for the following types of documents:
• Internal expenditure request authorization forms
• Supplier invoices
The solution must minimize development effort.
What should you recommend for each document type? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point

HOTSPOT
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. NOTE: Each correct selection is worth one point.

Explanation:
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.
Reference: https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview
What are two benefits of platform as a service (PaaS) relational database offerings in Azure, such as Azure SQL Database? Each correct answer presents a complete solution. NOTE: Each correct selection Is worth one point.
- A . reduced administrative effort for managing the server infrastructure
- B . complete control over backup and restore processes
- C . in-database machine learning services S3
- D . access to the latest features