The answer is that the index in Azure Cognitive Search has not been refreshed. This is the most likely cause because when you configure Azure OpenAI on your data, the service does not store or cache your dataset internally; instead, it queries an Azure Cognitive Search index at runtime to retrieve relevant content for generating responses. If the underlying data source has been updated but the index remains stale, the model will continue to return outdated information, as it has no access to the new data until the index is re-indexed or refreshed. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding of the retrieval-augmented generation pipeline and the critical role of the search index as the live data layer. A common trap is assuming the model itself caches data or that updating the source automatically updates responses. Remember the memory tip: “Index first, answer last”—if the index is old, the answer is cold.
AI-102 Implement generative AI solutions Practice Question
This AI-102 practice question tests your understanding of implement generative ai solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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 You notice that the responses include outdated information even though the underlying data source has been updated.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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
Prompt caching is not a feature of Azure OpenAI on your data.
✓
The index in Azure Cognitive Search has not been refreshed
Why this is correct
The search index must be re-indexed to reflect data changes.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The data source is configured to sync only daily
Why it's wrong here
Even with sync, the index may not update automatically.
✗
The Azure CDN is caching the responses
Why it's wrong here
CDN caching is not typically used for this scenario.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may 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.
Trap categories for this question
Scenario analysis trap
CDN caching is not typically used for this scenario.
Detailed technical explanation
How to think about this question
Under the hood, Azure OpenAI on your data uses a retrieval-augmented generation (RAG) pattern where the user query is sent to Azure Cognitive Search to retrieve relevant chunks from the index, which are then injected into the prompt sent to the model. The index must be explicitly refreshed or reindexed to reflect changes in the underlying data source (e.g., via an indexer with a schedule or on-demand). A common real-world scenario is when data is updated in Azure Blob Storage or Cosmos DB but the indexer is not triggered, leading to stale search results and outdated model responses.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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