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.
A developer uses the Azure OpenAI SDK to generate code snippets. The generated code sometimes contains security vulnerabilities. What is the most effective way to mitigate this risk?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Include a system message that instructs the model to avoid insecure coding patterns.
Option D is correct because a system message sets the behavioral context for the model at inference time, instructing it to avoid insecure coding patterns without requiring retraining. This is the most direct and effective mitigation as it leverages the model's instruction-following capability to reduce vulnerabilities in generated code, aligning with Azure OpenAI's content filtering and safety system guidance.
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.
✗
Set the temperature parameter to 0 to make the output deterministic.
Why it's wrong here
Deterministic output does not ensure security.
✗
Post-process the generated code using a static code analysis tool.
Why it's wrong here
Post-processing is valuable but not the most effective upfront mitigation.
✗
Fine-tune the model on a dataset of secure code examples.
Why it's wrong here
Fine-tuning is resource-intensive and may not cover all vulnerability types.
✓
Include a system message that instructs the model to avoid insecure coding patterns.
Why this is correct
System messages can guide the model to produce safer code.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the misconception that fine-tuning is the only way to customize model behavior, but the trap here is that a system message is a simpler, more flexible, and equally effective method for guiding output without the overhead of retraining.
Trap categories for this question
Command / output trap
Deterministic output does not ensure security.
Detailed technical explanation
How to think about this question
System messages in Azure OpenAI are part of the chat completion API's messages array, acting as a persistent instruction that influences the model's behavior across the entire conversation. Unlike fine-tuning, which modifies model weights, system messages are a zero-shot approach that can be dynamically adjusted per request, making them ideal for enforcing security policies without retraining. In practice, combining a system message with Azure's content filters and prompt engineering (e.g., few-shot examples) provides layered defense against vulnerabilities like injection attacks.
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: Include a system message that instructs the model to avoid insecure coding patterns. — Option D is correct because a system message sets the behavioral context for the model at inference time, instructing it to avoid insecure coding patterns without requiring retraining. This is the most direct and effective mitigation as it leverages the model's instruction-following capability to reduce vulnerabilities in generated code, aligning with Azure OpenAI's content filtering and safety system guidance.
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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