AI-102 Plan and manage an Azure AI solution Practice Question
Which TWO Azure services are used together to build a custom question-answering solution?
⚠ Common exam trap
Candidates often assume Azure AI Speech or Azure AI Translator are needed for a 'custom' solution, but the core requirement is a searchable knowledge base, which is provided by Azure AI Search, not by speech or translation 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
✓
Azure AI Language (Custom Question Answering)
Azure AI Language's Custom Question Answering (formerly QnA Maker) provides the core service for building a knowledge base of question-answer pairs and processing user queries. Azure AI Search acts as the underlying search index and retrieval engine, enabling the solution to scale, perform semantic ranking, and return relevant answers from the knowledge base. Together, they form a complete custom Q&A pipeline: Custom Question Answering for authoring and orchestration, and Azure AI Search for indexing and retrieval.
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 (Custom Question Answering)
Why this is correct
Custom Question Answering builds a knowledge base from documents.
- ✗
Azure AI Computer Vision
Why it's wrong here
Computer Vision analyzes images.
- ✗
Azure AI Speech
Why it's wrong here
Speech is for audio processing, not Q&A.
- ✓
Azure AI Search
Why this is correct
Azure AI Search indexes the Q&A content for fast retrieval.
- ✗
Azure AI Translator
Why it's wrong here
Translator handles language translation.
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