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Microsoft AI-102 Exam - Topic 5 Question 88 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 88
Topic #: 5
[All AI-102 Questions]

You have an Azure subscription that contains an Azure OpenAI resource named AM.

You build a chatbot that uses All to provide generative answers to specific questions.

You need to ensure that questions intended to circumvent built-in safety features are blocked.

Which Azure Al Content Safety feature should you implement?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

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Armanda
2 months ago
I heard Moderate text content is also effective.
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Gertude
3 months ago
Definitely agree with that!
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Larue
3 months ago
Wait, are we sure that's the best option?
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Luz
3 months ago
Protected material text detection seems too specific for this.
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Paz
3 months ago
I think Jailbreak risk detection is the way to go.
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Milly
3 months ago
I vaguely remember that "Monitor online activity" was more about tracking usage rather than blocking unsafe questions. So I think it's not the right answer.
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Deeanna
4 months ago
I feel like "Moderate text content" could also be relevant, but I can't recall if it specifically targets safety feature circumvention.
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Nancey
4 months ago
I think "Jailbreak risk detection" sounds familiar from practice questions. It seems like the right choice for blocking attempts to bypass safety.
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Hollis
4 months ago
I remember studying the different content safety features, but I'm not entirely sure which one specifically addresses circumventing safety measures.
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Mabel
4 months ago
I'm a little confused by the wording of this question. Can someone clarify what "circumvent built-in safety features" means exactly? I want to make sure I understand the requirement before selecting an answer.
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Deeanna
5 months ago
Okay, the key is to block questions that try to circumvent the built-in safety features. I'm thinking Jailbreak risk detection might be the way to go, but I'll double-check the descriptions.
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Lonny
5 months ago
Hmm, I'm a bit unsure about the differences between the options here. I'll need to review the details of each feature to determine the best one for this scenario.
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Lynelle
5 months ago
This seems like a straightforward question about Azure AI Content Safety features. I think I can handle this one.
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Tammara
7 months ago
Ooh, I bet the Azure AI team has some juicy behind-the-scenes stories about chatbots trying to break free. 'Jailbreak risk detection' - sounds like a movie title!
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Kara
7 months ago
A) Protected material text detection? Nah, that's for protecting sensitive information, not safety features. I'd go with B) Jailbreak risk detection.
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Louisa
7 months ago
B) Yeah, A) Protected material text detection is more for sensitive information, B) Jailbreak risk detection is the way to go for safety features.
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Denise
7 months ago
A) I agree, B) Jailbreak risk detection sounds like the right choice to block questions intended to circumvent safety features.
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Sheridan
8 months ago
D) Moderate text content seems like the obvious choice here. Gotta keep that chatbot PG-rated, am I right?
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Daniel
7 months ago
User 2: Yeah, we don't want any risky content slipping through. Moderate text content is the way to go.
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Shaquana
7 months ago
User 1: I agree, we definitely need to make sure our chatbot stays appropriate.
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Karon
8 months ago
I'm not sure about that. Maybe we should also consider Moderate text content to filter out inappropriate questions.
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Bulah
8 months ago
B) Jailbreak risk detection sounds like the best option to block questions that try to circumvent safety features. Gotta keep that chatbot in line!
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Larue
7 months ago
User 3: Definitely, safety first when it comes to AI content.
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Alise
7 months ago
User 2: Agreed, we need to make sure the chatbot stays safe.
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Joesph
8 months ago
User 1: I think we should go with Jailbreak risk detection to block those questions.
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Jeff
8 months ago
I agree with Rosalind. Protected material text detection will help ensure the chatbot stays within safe boundaries.
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Rosalind
8 months ago
I think we should implement Protected material text detection to block questions intended to circumvent safety features.
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