AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
A global retailer receives product descriptions in multiple languages, including French, German, and Japanese. The company wants to build a search index where all descriptions are stored in English. They need to translate the text automatically and prefer a cloud service that supports many languages with a single API call. Which Azure AI service should they use?
⚠ Common exam trap
The trap here is assuming that any Azure AI Language service can translate text, when translation specifically belongs to Azure AI Translator rather than to CLU or other language features.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure AI Translator
Azure AI Translator provides text translation across a wide range of languages via a single API, including automatic source language detection. The retailer needs to convert French, German, and Japanese descriptions into English for indexing, which is precisely a text translation task. Other Azure AI services address different modalities such as speech, vision, or intent understanding and cannot perform this translation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Vision OCR
Why it's wrong here
Optical character recognition extracts text from images, such as scanned documents or photographs. It does not translate text between languages. While OCR could digitize printed descriptions, it would leave the text in its original language, failing to produce the English content needed for the unified search index.
- ✗
Azure AI Speech speech translation
Why it's wrong here
Speech translation in Azure AI Speech translates spoken audio from one language to another. The scenario involves written product descriptions, not audio, so speech translation is the wrong modality. It would require converting text to speech first, adding unnecessary complexity and cost, and is not intended for translating large volumes of text documents.
- ✓
Azure AI Translator
Why this is correct
Azure AI Translator is a cloud-based machine translation service that supports text translation across more than 100 languages and dialects through a single REST API. It can detect the source language automatically and translate to English, which fits the requirement to convert multilingual product descriptions into English for indexing. No custom model training is needed for standard translation.
- ✗
Azure AI Language conversational language understanding (CLU)
Why it's wrong here
Conversational language understanding is designed to interpret user utterances and extract intents and entities for bot interactions. It does not perform text translation between languages. Using CLU here would not convert French, German, or Japanese descriptions into English, so it cannot satisfy the translation requirement for the search index.
Go deeper
Related to this question
Learn chapter
What is Computer Vision?
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
Key term
Language detection
Language detection is an Azure AI service that automatically identifies the language of a piece of text without manual input.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.