AIF-C01 Practice Question: A company uses a generative AI model to create…

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

• ✗

  Implement AWS CloudTrail to log all model inference calls

  Why it's wrong here

  CloudTrail records API activity for auditing and security forensics; those logs are visible to the company, not to customers, so no disclosure reaches the reader. It is tempting because CloudTrail is the standard AWS mechanism for tracing who invoked a model, and would be correct when the requirement is an audit trail of inference calls.

• ✓

  Add a watermark or disclaimer stating 'This content was generated by AI'

  Why this is correct

  A visible watermark or disclaimer explicitly labels the marketing copy as AI-generated, so customers immediately recognise its origin. This directly satisfies the transparency requirement, whereas internal documentation or model selection does not inform the audience viewing the published content.

• ✗

  Store all generated content in Amazon S3 with versioning enabled

  Why it's wrong here

  S3 versioning preserves and recovers object revisions; it stores content without adding any customer-facing disclosure that the text is AI-generated. It is tempting because versioning is the standard control for durability and rollback of generated assets, and would be correct when the requirement is retaining or restoring previous versions of stored content.

• ✗

  Use a more powerful model to generate more natural-sounding text

  Why it's wrong here

  A more powerful model changes only the fluency of the output; it adds no label, disclosure or metadata, so customers still cannot tell the copy is AI-generated. It is tempting because stronger models are the usual fix for poor-quality output, and would be the right choice when the requirement is natural-sounding text rather than transparency.

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