A legal research company is using a generative AI model to draft summaries of court cases. A lawyer using the tool reports that the AI generated a summary that cites a court case that does not exist. The lawyer is concerned about the reliability of the tool for legal work. Which legal risk does this scenario primarily illustrate, and what is the most appropriate mitigation?

End-user risk; implement a content moderation system to block harmful legal advice

Hallucination; implement a verification step that checks all cited cases against a trusted legal database

Loss of customer trust; implement a feedback mechanism for lawyers to report inaccurate summaries

Intellectual property infringement; implement a filter to block content that resembles existing legal documents

AWSCertified AI Practitioner

Domain 4Objective 1

Task Statement 4.1: Explain the Development of AI Systems That Are Responsible. AIF-C01 Practice Questions (Page 1)

Part of the Content Domain 4: Guidelines for Responsible AI domain, which makes up ~11% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~4–7 in this domain), expect 2–4 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)

24questions here

5free pages

7concepts

Questions 1–5

1application · medium
A legal research company is using a generative AI model to draft summaries of court cases. A lawyer using the tool reports that the AI generated a summary that cites a court case that does not exist. The lawyer is concerned about the reliability of the tool for legal work. Which legal risk does this scenario primarily illustrate, and what is the most appropriate mitigation?
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2foundation · easy
A team is using Amazon Bedrock Guardrails to enforce responsible AI features in their application. Which feature of Bedrock Guardrails is specifically designed to detect and filter hallucinations by checking that the model's response is grounded in a source document?
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3foundation · easy
A data scientist is reviewing a dataset for a responsible AI project. The dataset has equal numbers of examples from each demographic group. Which characteristic of a responsible dataset does this specifically demonstrate?
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4foundation · easy
A data team is building a dataset to train a facial recognition model. Which characteristic of the dataset is most important to ensure the model works well for people of all skin tones?
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5foundation · easy
A model performs very well on the training data but poorly on new, unseen data. Which issue is the model most likely experiencing?
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Task Statement 4.1: Explain the Development of AI Systems That Are Responsible. AIF-C01 Practice Questions (Page 1)

Questions 1–5

A team is using Amazon Bedrock Guardrails to enforce responsible AI features in their application. Which feature of Bedrock Guardrails is specifically designed to detect and filter hallucinations by checking that the model's response is grounded in a source document?

A data scientist is reviewing a dataset for a responsible AI project. The dataset has equal numbers of examples from each demographic group. Which characteristic of a responsible dataset does this specifically demonstrate?

A data team is building a dataset to train a facial recognition model. Which characteristic of the dataset is most important to ensure the model works well for people of all skin tones?

A model performs very well on the training data but poorly on new, unseen data. Which issue is the model most likely experiencing?

Keep studying — Content Domain 4: Guidelines for Responsible AI