Drag and Drop Question Match the types of natural languages processing workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its…

The correct answer is Key phrase extraction; Sentiment analysis; Translation. Key phrase extraction identifies the main topics or important words from text (e.g., extracting key terms from customer feedback or documents). Sentiment analysis determines the emotional tone or opinion expressed in text (e.g., identifying whether a product review is positive…

Submitted by saadiq_pk· Mar 30, 2026Describe features of Natural Language Processing (NLP) workloads on Azure - typically covering AI-900 or similar Azure AI Fundamentals certification objectives related to identifying and differentiating core NLP capabilities.

Question

Drag and Drop Question Match the types of natural languages processing workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Answer:

Exhibit

Answer Area

Drag items

Entity recognitionKey phrase extractionLanguage modelingSentiment analysisNatural language processingTranslationSpeech recognition and speech synthesis

Correct arrangement

Key phrase extraction
Sentiment analysis
Translation

Explanation

Key phrase extraction identifies the main topics or important words from text (e.g., extracting key terms from customer feedback or documents). Sentiment analysis determines the emotional tone or opinion expressed in text (e.g., identifying whether a product review is positive, negative, or neutral). Translation converts text or speech from one language to another, enabling cross-language communication. These three workloads each map to distinct, well-defined NLP scenarios with specific technical objectives.

Topics

#Natural Language Processing#Azure AI Language#NLP Workloads#AI-900 Fundamentals

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