Microsoft Azure AI Fundamentals AI-900 Practice Question
An organization wants to enhance the searchability of its document repository by automatically identifying significant terms and concepts within their text documents.
Which Azure AI capability should they use to achieve this?
Key Phrase Extraction is the appropriate Azure AI capability for this scenario. It analyzes text to identify the most relevant phrases that represent the main topics or concepts within a document. These key phrases can be used as metadata tags to improve searchability and organization.
Sentiment Analysis determines the emotional tone of the text, which is not useful for identifying key concepts.
Entity Recognition identifies and categorizes specific entities like names of people, organizations, or locations but may not capture all significant terms.
Speech Recognition converts spoken language into text and is not applicable to text documents.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is Key Phrase Extraction and how does it work?
Open an interactive chat with Bash
How can extracted key phrases improve document searchability?
Open an interactive chat with Bash
What are the differences between Key Phrase Extraction and Entity Recognition?
Open an interactive chat with Bash
Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
Your Score:
Report Issue
Bash, the Crucial Exams Chat Bot
AI Bot
Loading...
Loading...
Loading...
IT & Cybersecurity Package Join Premium for Full Access