- A
The prompt is allowed because the severity is below the threshold.
The hate filter blocks only at high severity.
- B
The prompt is blocked because hate content is detected.
Why wrong: Only high severity hate is blocked; medium is allowed.
- C
The prompt is blocked because the severity is medium.
Why wrong: Block action is only for high severity.
- D
The prompt is allowed because the hate filter is not configured for medium.
Why wrong: The filter is configured but with a higher threshold.
Quick Answer
The answer is that the prompt is allowed because the severity rating of "medium" for hate content falls below the configured threshold of "high." This occurs because Azure OpenAI content filter severity thresholds operate on a "block at or above" logic, meaning the filter only triggers an action when the detected severity matches or exceeds the defined level. In your configuration, the hate filter is set to block only at severity "high," so a "medium" rating passes through without interruption. On the AI-102 exam, this scenario tests your understanding of how severity levels—low, medium, and high—map to filter actions, a common trap being that candidates assume any non-zero severity triggers a block. Remember the mnemonic "Block at the Top": the action only applies when the severity is at or above the threshold you set, not below it.
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.
Refer to the exhibit.
{
"content_filters": [
{
"type": "hate",
"action": "block",
"severity": "high"
},
{
"type": "sexual",
"action": "block",
"severity": "medium"
},
{
"type": "self_harm",
"action": "block",
"severity": "low"
}
]
}You deploy an Azure OpenAI model with the above content filter configuration. A user submits a prompt that the system rates as "hate" at severity level "medium". What happens?
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
The prompt is allowed because the severity is below the threshold.
Option C is correct because the filter for hate blocks only at severity 'high', so a 'medium' severity hate message is allowed. Options A and B are wrong because the action is block only for high severity. Option D is wrong because the filter is not skipped entirely.
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.
- ✓
The prompt is allowed because the severity is below the threshold.
Why this is correct
The hate filter blocks only at high severity.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The prompt is blocked because hate content is detected.
Why it's wrong here
Only high severity hate is blocked; medium is allowed.
- ✗
The prompt is blocked because the severity is medium.
Why it's wrong here
Block action is only for high severity.
- ✗
The prompt is allowed because the hate filter is not configured for medium.
Why it's wrong here
The filter is configured but with a higher threshold.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The prompt is allowed because the severity is below the threshold. — Option C is correct because the filter for hate blocks only at severity 'high', so a 'medium' severity hate message is allowed. Options A and B are wrong because the action is block only for high severity. Option D is wrong because the filter is not skipped entirely.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on AI-102
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO statements about Azure OpenAI Service content filters are true?
easy- ✓ A.They can be configured with severity levels (low, medium, high)
- B.They only filter the output of the model
- C.They cannot be customized for specific use cases
- D.They are bypassed when using PTU deployments
- ✓ E.They include categories such as hate, sexual, violence, and self-harm
Why A: Option A is correct because Azure OpenAI Service content filters can be configured with severity levels (low, medium, high) to control the strictness of filtering for each content category. This allows administrators to fine-tune the filter sensitivity based on their application's risk tolerance and compliance requirements.
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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