Struggling with the Azure AI-102 certification? Discover how to connect your customer support chatbot to a knowledge base using Azure AI Studio for improved accuracy. Get the right answer and boost your career!
Table of Contents
Question
Your organization, Xerigon Inc., is developing a customer-support chatbot powered by Azure OpenAI. To improve the accuracy of responses, you want the chatbot to leverage your organization’s internal knowledge base which contains product manuals and support guides.
You plan to add this data source to enhance the Azure OpenAI model.
Which of the following is the recommended way to create the search resource and index when uploading data or connecting files in a Storage account?
A. Use semantic search.
B. Use the Azure command-line interface (CLI).
C. Use Azure AI Studio.
D. Use Azure Blob Explorer.
Answer
C. Use Azure AI Studio.
Explanation
Using Azure AI Studio to create the search resource and index is the recommended way when uploading data or connecting files in a Storage account. Azure AI Studio provides a streamlined interface for adding your own data to enhance Azure OpenAI models. Uploading data in this manner ensures proper chunking during the indexing process, resulting in more accurate responses. For large text files or forms, utilizing the provided data preparation script can significantly enhance the model’s performance.
Using the Azure CLI to create the search resource and index is not the recommended way when uploading data or connecting files in a Storage account. While the Azure CLI can be used to create and manage Azure resources, it requires more manual configuration and scripting. This approach is not the recommended approach to integrate custom data with Azure OpenAI.
Using semantic search to create the search resource and index is not the recommended way when uploading data or connecting files in a Storage account. Semantic search is a feature of Azure Cognitive Search that enhances search capabilities by understanding the meaning and context of queries. However, it is not used to create a search resource or index. It is an additional feature that can be enabled after the search resource and index have been set up.
Using Azure Blob Explorer to create the search resource and index is not the recommended way when uploading data or connecting files in a Storage account. Azure Blob Explorer is a tool for managing data in Azure Blob Storage. It helps upload and organize files. However, it does not provide functionality for creating a search resource or index.
Microsoft Azure AI Engineer Associate AI-102 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Engineer Associate AI-102 exam and earn Microsoft Azure AI Engineer Associate AI-102 certification.