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AWS Certified Generative AI Developer - Professional (AIP-C01) (AIP-C01) Practice Test

169 questions with instant explanations, domain breakdown, and wrong-answer analysis. Built for the real exam.

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Real exam: 180 min

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Q1AI Safety Security And Governancemedium
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You are deploying a Generative AI application using Amazon SageMaker JumpStart. You need to ensure that the model endpoint is protected against prompt injection attacks. Which approach is most effective?

AEncrypt the model weights with a CMK
BEnable Amazon Inspector on the endpoint
Use a prompt-based filter system that detects malicious intent via a secondary validation modelCorrect
DDisable the API Gateway execute-api method

A prompt-based filter system that uses a secondary validation model to detect malicious intent is the most effective approach because prompt injection is a semantic/behavioral attack that must be detected by analyzing the input and output content, not by infrastructure controls. …Read full explanation

Q2AI Safety Security And Governanceeasy
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A developer wants to prevent the Generative AI application from producing content related to hate speech or violence. What is the most efficient configuration in Amazon Bedrock?

ACreate a custom fine-tuned model
Implement Amazon Bedrock Guardrails with content filtersCorrect
CUse AWS Config rules to monitor the model
DAdd a system prompt to the application code

Amazon Bedrock Guardrails provides configurable content filters that can block hate speech, violence, sexual content, insults, and misconduct, with adjustable strength levels per category. It is the most efficient configuration because it is a managed, no-code policy layer applie…Read full explanation

Q3AI Safety Security And Governancehard
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A company is using RAG with Amazon Bedrock Knowledge Bases. They need to ensure that users can only retrieve documents they are authorized to see. How should this be implemented?

AEncrypt the documents with different KMS keys
BCreate separate Knowledge Bases for every user
CApply IAM policies to the S3 bucket
Use the filters attribute in the Retrieve API call based on document metadataCorrect

Amazon Bedrock Knowledge Bases support metadata filtering on the Retrieve and RetrieveAndGenerate APIs. By attaching authorization metadata (e.g., department, clearance level) to documents during ingestion and passing a filters attribute in the Retrieve call based on the user's i…Read full explanation

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