AI-102 Implement generative AI solutions Practice Question
This AI-102 practice question tests your understanding of implement generative ai solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You are building a generative AI application that uses Azure OpenAI Service. The application must access data from an Azure SQL database to answer user questions. You need to implement a solution that retrieves the most relevant data without exposing the database schema to the model. Which approach should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a middle-tier service to query the database, then pass results to the model via Azure OpenAI On Your Data
Option B is correct because it uses a middle-tier service to query the Azure SQL database and then passes only the relevant results to the Azure OpenAI model via the 'On Your Data' feature. This approach ensures the model never sees the database schema, protecting sensitive structural details while still providing the necessary context for answering user questions. It also allows the middle-tier to handle authentication, query optimization, and data filtering securely.
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.
✗
Configure the model to generate SQL queries and execute them against the database
Why it's wrong here
The model should not execute SQL directly due to security and reliability concerns.
✓
Use a middle-tier service to query the database, then pass results to the model via Azure OpenAI On Your Data
Why this is correct
This isolates the database and provides relevant context to the model.
Related concept
Read the scenario before looking for a memorised answer.
✗
Embed the entire database schema in the system prompt
Why it's wrong here
Exposing schema is a security risk and inefficient.
✗
Fine-tune the model with historical query results from the database
Why it's wrong here
Fine-tuning does not enable real-time data retrieval.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume the model can safely generate SQL queries (Option A) because it seems efficient, but they overlook the security and schema exposure risks, as well as the fact that Azure OpenAI On Your Data is the designed pattern for this exact use case.
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 middle-tier service indexes or queries the database, converts results into embeddings or plain text chunks, and injects them into the model's context window at inference time. This approach leverages vector search or keyword search to find the most relevant data without the model ever interacting with the database directly. In a real-world scenario, this is critical for compliance with data privacy regulations like GDPR, where exposing database schema could leak sensitive table or column names.
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 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.
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: Use a middle-tier service to query the database, then pass results to the model via Azure OpenAI On Your Data — Option B is correct because it uses a middle-tier service to query the Azure SQL database and then passes only the relevant results to the Azure OpenAI model via the 'On Your Data' feature. This approach ensures the model never sees the database schema, protecting sensitive structural details while still providing the necessary context for answering user questions. It also allows the middle-tier to handle authentication, query optimization, and data filtering securely.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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