AI-102 Implement generative AI solutions Practice Question
You are using Azure OpenAI Service to generate marketing copy. You notice that the output sometimes contains factual inaccuracies about your company's products. Which action can you take to improve factual accuracy?
⚠ Common exam trap
A common mix-up: candidates assume lowering temperature or increasing maxTokens will fix factual accuracy, when in reality these parameters control randomness and output length, not the correctness of the underlying information.
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
✓
Include relevant product information in the system message.
Including relevant product information in the system message provides the model with authoritative context that grounds its responses in factual data. The system message acts as a persistent instruction set that the model uses to shape its outputs, reducing reliance on its internal training data which may be outdated or incomplete. This technique, known as 'grounding,' directly improves factual accuracy by supplying the model with the specific facts it needs to generate correct marketing copy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Lower the temperature to 0.
Why it's wrong here
Temperature affects randomness, not factual accuracy.
- ✓
Include relevant product information in the system message.
Why this is correct
Providing accurate context in the prompt helps the model generate factual responses.
- ✗
Increase the maxTokens to 4000.
Why it's wrong here
maxTokens limits length, not accuracy.
- ✗
Add a stop sequence to limit output.
Why it's wrong here
Stop sequences control when generation stops, not accuracy.
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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.