AI-102 Practice Question: Implement natural language processing solutions
Which TWO capabilities are provided by the Azure AI Language service?
⚠ Common exam trap
Test-takers frequently confuse the Azure AI Language service with other Azure AI services (e.g., Translator, Speech, Vision) that handle specific modalities like translation, audio, or images, leading them to select options that belong to those separate services.
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
✓
Custom text classification.
Option C (Custom text classification) is correct because Azure AI Language includes a custom text classification feature that lets you train models to categorize documents or text into user-defined classes. Option E (Key phrase extraction) is correct because Azure AI Language provides prebuilt key phrase extraction to identify the main talking points in unstructured text. Option A (Text translation) is not part of Azure AI Language; translation is handled by Azure AI Translator. Option B (Speech-to-text conversion) belongs to Azure AI Speech, not Azure AI Language. Option D (Image captioning) is a computer vision capability in Azure AI Vision, not Azure AI Language.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Text translation.
Why it's wrong here
Text translation belongs to Azure AI Translator, a separate service, not Azure AI Language, which covers entity recognition, sentiment analysis and summarisation. It is tempting because both are cognitive language offerings, and translation would be the right pick if the question asked about multilingual document conversion rather than the Language service's own capabilities.
- ✗
Speech-to-text conversion.
Why it's wrong here
Speech-to-text conversion is provided by Azure AI Speech, not Azure AI Language, which handles text analysis such as sentiment, entity recognition, key phrase extraction and summarisation. The option is tempting because both sit under Azure AI Services, but the input modality differs: Language processes text, Speech processes audio.
- ✓
Custom text classification.
Why this is correct
Custom text classification is a prebuilt-and-customisable Azure AI Language capability that trains a model on labelled data to assign your own categories to text, satisfying the capability question. It is distinct from translation and speech, which belong to other Azure AI services.
- ✗
Image captioning.
Why it's wrong here
Image captioning is delivered by Azure AI Vision, not Azure AI Language, which processes text only. It tempts because both sit under Azure AI Services and are often studied together, but captioning would be correct if the scenario required describing photograph content rather than analysing written language.
- ✓
Key phrase extraction.
Why this is correct
Key phrase extraction is a core prebuilt Azure AI Language capability that identifies the main concepts in unstructured text, satisfying the capability question. It runs through the Language service's analyse endpoint without requiring any custom training data.
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