Skip to Content

AI-102: Optimizing Language Models with Conversational Language Understanding

Learn how to enhance language models by creating new utterances in Conversational Language Understanding.

Table of Contents

Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You build a language model by using a Conversational Language Understanding. The language model is used to search for information on a contact list by using an intent named FindContact.

A conversational expert provides you with the following list of phrases to use for training.

  • Find contacts in London.
  • Who do I know in Seattle?
  • Search for contacts in Ukraine.

You need to implement the phrase list in Conversational Language Understanding.

Solution: You create a new utterance for each phrase in the FindContact intent.

Does this meet the goal?

A. Yes
B. No

Answer

A. Yes

Explanation

Creating a new utterance for each phrase in the FindContact intent in Conversational Language Understanding will help the language model to understand and respond correctly to similar phrases.

Designing and Implementing a Microsoft Azure AI Solution AI-102 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Designing and Implementing a Microsoft Azure AI Solution AI-102 exam and earn Designing and Implementing a Microsoft Azure AI Solution AI-102 certification.