Exam AI-100 topic 5 question 15 discussion

Actual exam question from Microsoft's AI-100

Question #: 15
Topic #: 5

You are developing a mobile application. You want to implement search functionality in the application.
Your solution must meet the following requirements:
Users must be able to run searches by typing in their search query.
Users must be able to run searches by voice commands.
Which of the following actions should you take?

A. Make use of Language Understanding (LUIS)
B. Make use of QnA Maker
C. Make use of Bing Entity Search
D. Make use of Azure Cognitive Search

Show Suggested Answer

Suggested Answer: D 🗳️
Azure Cognitive Search (formerly known as "Azure Search") is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications. Your code or a tool invokes data ingestion (indexing) to create and load an index. Optionally, you can add cognitive skills to apply AI processes during indexing. Doing so can add new information and structures useful for search and other scenarios.
Incorrect Answers:
B: QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents. Answer users' questions with the best answers from the QnAs in your knowledge baseג€"automatically.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-what-is-azure-search

by rveney at June 22, 2023, 9:15 p.m.

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rveney

2 years ago

To implement search functionality in a mobile application that supports searching by typing in search queries as well as voice commands, you should take the following action: A. Make use of Language Understanding (LUIS) Language Understanding (LUIS) is a natural language processing service provided by Microsoft Azure. It allows you to build applications that can understand and interpret user's intents from their spoken or typed input. By using LUIS, you can train a language model to recognize specific search intents and extract relevant entities from user queries. LUIS supports both text and speech input, making it suitable for implementing search functionality that can be accessed via typing or voice commands.

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