AI-900 Question #120: Real Exam Question with Answer & Explanation

Submitted by rohit_dlh· Mar 30, 2026Describe features of Natural Language Processing (NLP) workloads on Azure - specifically identifying appropriate NLP tasks such as entity recognition and sentiment analysis for real-world business scenarios (AI-900 / Azure AI Fundamentals)

Question

Drag and Drop Question You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book. Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. Answer:

Explanation

Entity recognition is used to identify and extract named entities (such as customer names, organizations, or people) from news articles, allowing the system to find articles relevant to specific customers. Sentiment analysis is then used to classify whether the identified articles are positive or negative - triggering alerts for negative articles and routing positive ones to the press book. These two NLP tasks work in sequence to fulfill both requirements of the solution.

Topics

#Natural Language Processing#Azure AI Language#Entity Recognition#Sentiment Analysis

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