Exams / AIF-C01 / Data governance and lineage / Question 1
AIF-C01 practice question: Data governance and lineage (1 of 2)
Security, Compliance, and Governance for AI Solutions A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
During an audit, a regulator asks an insurer exactly which dataset, parameters and processing steps produced the pricing model now in production. Which AWS capability is designed to answer this?
Choose one answer.
- AA. Amazon SageMaker ML Lineage Tracking
- BB. Amazon Bedrock Prompt Management
- CC. Amazon Transcribe
- DD. Amazon Inspector
Show the answer and explanation
Answer: A
- A. Right: Correct. It records the steps of an ML workflow from data preparation to deployment, so you can trace a model back to its data.
- B. Wrong: Prompt Management stores and versions prompts. It does not track how an ML model was built.
- C. Wrong: Transcribe converts speech to text. It does not record model history.
- D. Wrong: Inspector scans workloads for software vulnerabilities. It does not track data or model lineage.
Explanation
Data and model lineage records where data came from and how a model was produced. SageMaker ML Lineage Tracking stores this for each workflow step, so teams can reproduce a model, find the exact artefacts used, and support audit and compliance. Data catalogues and Model Cards complement it.
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