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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 34 discussion

How can companies use large language models (LLMs) securely on Amazon Bedrock?

  • A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
  • B. Enable AWS Audit Manager for automatic model evaluation jobs.
  • C. Enable Amazon Bedrock automatic model evaluation jobs.
  • D. Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.
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Suggested Answer: A 🗳️

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85b5b55
1 week ago
Selected Answer: A
Using IAM with least privilege will secure the LLM on the Amazon Bedrock.
upvoted 1 times
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eesa
1 month, 4 weeks ago
Selected Answer: A
A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access. This option addresses two key aspects of secure LLM usage on Amazon Bedrock: Prompt Engineering: Clear and specific prompts reduce the risk of unintended or harmful outputs. Well-defined prompts help guide the model's responses and minimize the potential for bias or misinformation. IAM Access Control: Implementing strong access controls is crucial to protect sensitive data and prevent unauthorized access to the LLM. By using IAM roles and policies with least privilege access, you can limit permissions to only the necessary actions, reducing the risk of security breaches.
upvoted 1 times
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jove
3 months ago
Selected Answer: A
A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access is the best approach for companies to securely use large language models on Amazon Bedrock, as it emphasizes both prompt clarity and access control.
upvoted 2 times
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