Free AI-102 Dumps – 100% Updated and Complete, No Payment Required

Pass Microsoft AI-102 in Just 3 Days – Stress-Free, No Study Needed!

Get your Microsoft AZ-104 certification with 100% pass guarantee and pay only after passing. Click here to secure your guaranteed certification now!

Have questions? Contact us directly on WhatsApp for quick support!

HOTSPOT –
You develop an application that uses the Face API.
You need to add multiple images to a person group.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

You have a chatbot that was built by using the Microsoft Bot Framework.
You need to debug the chatbot endpoint remotely.
Which two tools should you install on a local computer? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

You have the following data sources:

• Finance: On-premises Microsoft SQL Server database
• Sales: Azure Cosmos DB using the Core (SQL) API
• Logs: Azure Table storage
• HR: Azure SQL database

You need to ensure that you can search all the data by using the Azure Cognitive Search REST API.

What should you do?

DRAG DROP –
You have a chatbot that uses a QnA Maker application.
You enable active learning for the knowledge base used by the QnA Maker application.
You need to integrate user input into 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.
Select and Place:

HOTSPOT
–
In Azure OpenAI Studio, you are prototyping a chatbot by using Chat playground.

You need to configure the chatbot to meet the following requirements:

• Reduce the repetition of words in conversations.
• Reduce the randomness of each response.

Which two parameters should you modify? To answer, select the appropriate parameters in the answer area.

NOTE: Each correct answer is worth one point.

Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code.

You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.
You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces.
What should you do?

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.
Select and Place:

HOTSPOT
–
You plan to provision Azure Cognitive Services resources by using the following method.

You need to create a Standard tier resource that will convert scanned receipts into text.

How should you call the method? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

You need to enable speech capabilities for a chatbot.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

You have an Azure subscription.

You need to build an app that will compare documents for semantic similarity. The solution must meet the following requirements:

• Return numeric vectors that represent the tokens of each document.
• Minimize development effort.

Which Azure OpenAI model should you use?