AI-102 Implement generative AI solutions Practice Question
Your organization uses Azure OpenAI Service with a data source configured as 'Azure OpenAI on your data'. You notice that the responses include outdated information even though the underlying data source has been updated. What is the most likely cause?
⚠ Common exam trap
Test-takers frequently confuse the model's lack of awareness of data updates with caching mechanisms (like CDN or prompt caching), when the real issue is the decoupled indexing pipeline in Azure Cognitive Search that requires explicit refresh.
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
✓
The index in Azure Cognitive Search has not been refreshed
When using Azure OpenAI Service with 'Azure OpenAI on your data', the responses are generated by querying an Azure Cognitive Search index that contains your data. If the underlying data source has been updated but the responses still include outdated information, the most likely cause is that the index in Azure Cognitive Search has not been refreshed to reflect those updates. The model itself does not store or cache the data; it relies on the index at query time, so an outdated index directly leads to outdated responses.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model is using a cached version of the prompt
Why it's wrong here
Azure OpenAI does not cache prompts; each request is processed against the configured data source. It is tempting because prompt caching exists in some inference stacks to cut latency and cost, where repeated identical prompts would be the correct diagnosis.
- ✓
The index in Azure Cognitive Search has not been refreshed
Why this is correct
Azure OpenAI on your data retrieves grounding content from the Azure Cognitive Search index, not the source directly. If that index is not refreshed after the source changes, stale documents are returned despite the underlying data being current.
- ✗
The data source is configured to sync only daily
Why it's wrong here
Azure OpenAI on your data queries the configured index at request time; there is no daily sync setting governing freshness. It is tempting because scheduled ingestion refreshes are common in search pipelines, where a stale index genuinely causes outdated answers.
- ✗
The Azure CDN is caching the responses
Why it's wrong here
Azure CDN caches HTTP responses at edge locations and is not part of the Azure OpenAI on your data request path. It is tempting because CDN caching genuinely serves stale content for static web assets, where that would be the correct cause.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.