Describe features of Natural Language Processing workloads on Azure →easyMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
What is the difference between Azure AI Speech and Azure AI Language?
⚠ Common exam trap
Many exam-takers confuse the scope of Azure AI Speech, mistakenly thinking it only does transcription (Option A), when in fact it also performs text-to-speech and speech translation, while Azure AI Language is strictly for text-based NLP tasks.
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 Speech handles audio processing; Azure AI Language processes and understands text
Azure AI Speech is designed to process audio input, converting speech to text (speech-to-text) and text to speech (text-to-speech), as well as enabling speaker recognition and real-time translation. Azure AI Language, on the other hand, processes and understands text by providing capabilities such as sentiment analysis, key phrase extraction, language detection, and question answering. Option B correctly captures this fundamental division: Speech handles audio processing, while Language handles text understanding.
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 Speech is for transcription only; Azure AI Language handles all other NLP tasks
Why it's wrong here
Azure AI Speech is not limited to transcription; it also includes text-to-speech synthesis, speaker recognition, and speech translation, so it covers both audio input and audio output. Azure AI Language also does not handle all other NLP tasks; rather, it provides text-based analysis such as sentiment, key phrase extraction, and named entity recognition, while other services like Azure AI Translator handle translation. Thus, the boundary between the two services is the input/output modality (audio vs. text), not a division of transcription versus everything else.
- ✓
Azure AI Speech handles audio processing; Azure AI Language processes and understands text
Why this is correct
Azure AI Speech is designed for processing spoken audio: it performs speech-to-text (STT), text-to-speech (TTS), and speaker recognition, and can even translate speech between languages. Azure AI Language, in contrast, processes and understands text by extracting sentiment, detecting key phrases, performing named entity recognition (NER), and summarizing documents. The key distinction in the Azure AI-900 exam is that Speech uses audio as its primary input or output, while Language works directly on written text.
- ✗
Azure AI Speech works only in English; Azure AI Language supports multiple languages
Why it's wrong here
Both Azure AI Speech and Azure AI Language support a broad set of languages and regional locales. For example, Speech's speech-to-text supports more than 100 languages, and Language's sentiment analysis and NER are available across dozens of languages. The differentiator is not language coverage but the nature of the input: Speech consumes audio signals, whereas Language consumes textual content, so stating that Speech is English-only is factually incorrect.
- ✗
They are the same service with different pricing tiers
Why it's wrong here
These are distinct Azure AI services with different underlying APIs, functionality, and intended use cases; Speech is dedicated to processing audio (including speech-to-text, text-to-speech, and speaker identification), while Language focuses on analyzing and understanding text. They do not share the same model set or endpoint, and their pricing is based on separate billing meters for usage like audio hours versus text records. Consequently, they cannot be characterized as the same service with different pricing tiers.
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Related to this question
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Azure Machine Learning Studio
Key term
Key phrase extraction
Key phrase extraction is an Azure AI service feature that automatically identifies and extracts the most important words and phrases from a piece of text.
Key term
Azure AI Speech
Azure AI Speech is a cloud service from Microsoft that converts spoken audio into text, text into lifelike speech, and enables real-time voice translation and speaker recognition.
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