Describe features of Natural Language Processing workloads on Azure →mediumMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
A multinational corporation receives customer feedback emails in several languages. The company wants to translate all emails into English for centralized analysis by its support team. Which Azure service should they use?
⚠ Common exam trap
Test-takers frequently confuse Azure AI Language's language detection or text analysis features with translation, but Azure AI Language does not include translation functionality, which is exclusively handled by Azure Translator.
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 Translator
Azure Translator is the correct service because it is specifically designed for text-to-text translation across multiple languages, making it ideal for translating customer feedback emails into English. It provides a REST API that supports real-time or batch translation of text, which aligns with the requirement to process emails in various languages for centralized analysis.
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 Language
Why it's wrong here
Azure AI Language is a natural language processing service that includes features like sentiment analysis, key phrase extraction, named entity recognition, and language detection, but it does not include a text translation capability. Translation is a separate function that requires a dedicated service like Azure Translator. While language detection is useful to identify the source language of customer feedback, Azure AI Language itself cannot convert the content from one language to another.
- ✓
Azure Translator
Why this is correct
Azure Translator is a dedicated, cloud-based text translation service that uses neural machine translation to convert text between more than 100 languages and dialects. It supports real-time and batch translation, customizable terminology, and integrates easily with other Azure services. For a multinational corporation needing to translate customer feedback emails, Azure Translator is the appropriate service because it is purpose-built for text translation and provides high accuracy and scalability.
- ✗
Azure OpenAI Service
Why it's wrong here
Azure OpenAI Service allows you to use large language models like GPT-4 to perform translation by prompting the model to translate text. However, it is not a specialized translation service; it is a general-purpose AI platform. The quality of translation may vary with prompt engineering, and the cost can be higher because GPT models are charged per token, whereas Azure Translator is optimized for translation with predictable pricing and dedicated translation capabilities.
- ✗
Azure Speech Service
Why it's wrong here
Azure Speech Service is focused on enabling voice interactions, including real-time speech-to-text transcription, text-to-speech synthesis, and speech translation for spoken conversations. It does not accept written text input for translation; its translation feature is specifically for translating spoken language in real time. Since customer feedback arrives as emails (written text), Azure Speech Service would require converting the text to speech first, which is inefficient and not designed for this use case.
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Azure Machine Learning Studio
Key term
Batch
Batch is a cloud computing service that runs large numbers of computing jobs as a group, or batch, without needing to manage individual servers.
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.
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