AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

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  Azure AI Vision

  Why it's wrong here

  Azure AI Vision is designed for image analysis, including features like object detection, scene classification, and OCR text extraction from images and video frames. Although its OCR API can read text, it does not natively detect the language of that extracted text, and language identification is not one of its image analysis capabilities. To identify the language of text—whether from a document, chat message, or OCR result—you should use Azure AI Language's language detection.

• ✓

  Azure AI Language (language detection)

  Why this is correct

  Azure AI Language's language detection feature is a purpose-built NLP capability that analyzes unstructured text and returns the detected language code, human-readable name, and a confidence score between 0 and 1. It supports over 120 languages, dialects, and scripts, and can determine the dominant language in mixed-language input. This makes it the correct service when the task is to identify the language of a text input, rather than to translate or extract structured data from it.

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  Azure AI Translator

  Why it's wrong here

  Azure AI Translator is a machine translation service that converts text or documents between languages across many supported locales. It includes a Detect method that identifies the source language automatically, but this detection is only used to enable translation and is not exposed with the same granularity and confidence scoring as Azure AI Language's language detection. For a pure language identification use case, Azure AI Language is the correct and dedicated service.

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  Azure AI Document Intelligence

  Why it's wrong here

  Azure AI Document Intelligence (formerly Form Recognizer) uses OCR and layout analysis to extract key-value pairs, tables, and entities from documents. While it may internally rely on OCR language hints to improve extraction accuracy, its primary purpose is structured data extraction, not standalone language detection. The dedicated language detection feature in Azure AI Language provides explicit language codes and confidence scores, which Document Intelligence does not expose as a user-facing API.

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