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.
Exhibit
Refer to the exhibit.
{
"role": "system",
"content": "You are a helpful assistant that provides information about company policies. Only answer questions based on the provided context. If the answer is not in the context, say 'I do not know.'"
}
You are using Azure OpenAI Service with the system message shown in the exhibit. The model sometimes answers questions using general knowledge even when the context does not contain the answer. Which modification should you make to enforce the behavior?
Refer to the exhibit.
{
"role": "system",
"content": "You are a helpful assistant that provides information about company policies. Only answer questions based on the provided context. If the answer is not in the context, say 'I do not know.'"
}
A
Add a user message repeating the instruction
Why wrong: Repetition may not be enforced; model can still ignore.
B
Reduce the temperature to 0
Why wrong: Temperature affects randomness, not adherence to context.
C
Fine-tune the model with examples of refusing to answer
Why wrong: Fine-tuning is not required; the feature exists in Azure OpenAI On Your Data.
D
Set the 'strict' parameter to true in Azure OpenAI On Your Data configuration
The strict setting forces the model to use only the provided context.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Set the 'strict' parameter to true in Azure OpenAI On Your Data configuration
Option D is correct because the 'strict' parameter in Azure OpenAI On Your Data configuration forces the model to rely exclusively on the provided data sources and refuse to answer when the context lacks the information. This directly enforces the desired behavior of not falling back on general knowledge.
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.
✗
Add a user message repeating the instruction
Why it's wrong here
Repetition may not be enforced; model can still ignore.
✗
Reduce the temperature to 0
Why it's wrong here
Temperature affects randomness, not adherence to context.
✗
Fine-tune the model with examples of refusing to answer
Why it's wrong here
Fine-tuning is not required; the feature exists in Azure OpenAI On Your Data.
✓
Set the 'strict' parameter to true in Azure OpenAI On Your Data configuration
Why this is correct
The strict setting forces the model to use only the provided context.
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 prompt engineering (like repeating instructions) or temperature adjustments can enforce strict data-only behavior, when in reality the 'strict' parameter in Azure OpenAI On Your Data is the specific mechanism designed for this purpose.
Detailed technical explanation
How to think about this question
The 'strict' parameter in Azure OpenAI On Your Data is part of the retrieval-augmented generation (RAG) configuration that controls how the model handles queries when the indexed data does not contain a relevant answer. When set to true, the model will output a refusal message (e.g., 'I cannot answer based on the provided data') instead of generating a response from its general knowledge. This is critical in enterprise scenarios where data compliance and accuracy are paramount, such as in legal or medical document Q&A systems.
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: Set the 'strict' parameter to true in Azure OpenAI On Your Data configuration — Option D is correct because the 'strict' parameter in Azure OpenAI On Your Data configuration forces the model to rely exclusively on the provided data sources and refuse to answer when the context lacks the information. This directly enforces the desired behavior of not falling back on general knowledge.
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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