AWS Certified Cloud Practitioner
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A marketing agency using Bedrock wants to ensure that AI-generated campaign content does not include competitor brand names or offensive language. Which strategy should the team use?
Real Exam
Community
RRitesh
0
A
Zero-shot prompting
B
Negative prompting and content filtering
C
Reinforcement learning
D
Hyperparameter tuning
Explanation:
Explanation
Negative prompting and content filtering is the correct strategy because:
- Negative prompting allows the model to explicitly avoid generating specific content (like competitor brand names)
- Content filtering can be applied to detect and block offensive language or unwanted brand mentions
- This approach directly addresses the requirement to exclude specific content types
Why other options are incorrect:
- A) Zero-shot prompting: This refers to providing examples without training, but doesn't specifically address content exclusion
- C) Reinforcement learning: This is a training methodology, not a content filtering strategy
- D) Hyperparameter tuning: This optimizes model performance but doesn't directly control content generation
Amazon Bedrock provides built-in content filtering capabilities and supports negative prompting techniques to help ensure generated content meets safety and compliance requirements.
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