- A
Use Azure API Management to log requests and responses.
Why wrong: API Management can log, but it is not the primary solution for OpenAI logging; OpenAI's diagnostic settings are more straightforward.
- B
Store logs in Azure Key Vault.
Why wrong: Key Vault is for managing secrets, not for storing logs.
- C
Enable diagnostic settings in Azure OpenAI Service to send logs to a Log Analytics workspace.
Diagnostic settings capture API call logs including prompts and completions for auditing.
- D
Use Azure AI Search to index the prompts and responses.
Why wrong: Azure AI Search is for search indexing, not logging.
Quick Answer
The answer is to enable diagnostic settings in Azure OpenAI Service to send logs to a Log Analytics workspace. This configuration captures all user prompts and model responses for auditing, as diagnostic settings stream telemetry data—including content filtering results and API call details—directly to Azure Monitor, storage, or Log Analytics. On the AI-102 exam, this scenario tests your understanding of Azure OpenAI’s logging capabilities versus other services; a common trap is confusing Azure API Management, which only proxies traffic without native response logging, or Azure AI Search, which indexes data but does not audit prompts. Remember that diagnostic settings are the standard Azure mechanism for operational auditing, not a specialized AI tool. A useful memory tip: “Diagnostics log the dialog” — if you need to audit prompts and responses, think of the diagnostic settings blade first.
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 to generate code snippets. You want to log all user prompts and model responses for auditing purposes. What should you configure?
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
Enable diagnostic settings in Azure OpenAI Service to send logs to a Log Analytics workspace.
Option A is correct because Azure OpenAI Service supports content filtering and logging via diagnostic settings; you can send logs to Azure Monitor or storage. Option B is wrong because Azure AI Search is not for logging. Option C is wrong because Azure API Management proxies but does not natively log model responses. Option D is wrong because Azure Key Vault is for secrets management.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure API Management to log requests and responses.
Why it's wrong here
API Management can log, but it is not the primary solution for OpenAI logging; OpenAI's diagnostic settings are more straightforward.
- ✗
Store logs in Azure Key Vault.
Why it's wrong here
Key Vault is for managing secrets, not for storing logs.
- ✓
Enable diagnostic settings in Azure OpenAI Service to send logs to a Log Analytics workspace.
Why this is correct
Diagnostic settings capture API call logs including prompts and completions for auditing.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Use Azure AI Search to index the prompts and responses.
Why it's wrong here
Azure AI Search is for search indexing, not logging.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
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Implement generative AI solutions — study guide chapter
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement generative AI solutions — This question tests Implement generative AI solutions — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Enable diagnostic settings in Azure OpenAI Service to send logs to a Log Analytics workspace. — Option A is correct because Azure OpenAI Service supports content filtering and logging via diagnostic settings; you can send logs to Azure Monitor or storage. Option B is wrong because Azure AI Search is not for logging. Option C is wrong because Azure API Management proxies but does not natively log model responses. Option D is wrong because Azure Key Vault is for secrets management.
What should I do if I get this AI-102 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
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Last reviewed: Jun 20, 2026
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.
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