ExamPark
Course menuAIF-C01

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.

Last verified against current AWS documentation ·How we write our questions

During an audit, a regulator asks a car insurer to show exactly which dataset version, hyperparameters and processing steps produced the pricing model now in production, and to reproduce that model.

The data team retrains weekly from one shared dataset, and the record must be kept for seven years.

Which capability BEST provides this?

Choose one answer.

  1. A. SageMaker ML Lineage Tracking, which records the datasets, training job parameters and pipeline steps behind each model.
  2. B. AWS CloudTrail logs, which record who called the training APIs and when each call was made.
  3. C. AWS Config history of the training instances, which shows how their configuration settings changed over time.
  4. D. S3 Versioning on the training bucket, which keeps every earlier version of each object in the bucket.
Show the answer and explanation

Answer: A

  • A. Right: Correct. Lineage Tracking creates and stores information about each stage of an ML workflow, so the artifacts behind a model can be queried and the model reproduced. Learn more: Amazon SageMaker ML Lineage Tracking (opens in a new tab)
  • B. Wrong: CloudTrail records API activity for auditing. It shows who called an action and when, but not which dataset and hyperparameters produced a model.
  • C. Wrong: Config tracks resource configurations, such as instance settings. It does not link a model to the datasets and parameters used to train it.
  • D. Wrong: Versioning keeps old copies of the data, which helps. It does not record the training job, its parameters or the steps that connected the data to the model.

Explanation

SageMaker ML Lineage Tracking records the steps and artifacts of an ML workflow, from data preparation to deployment, so a team can trace and reproduce a model. Audit logs, configuration history and object versions each answer a different question. This question tests choosing lineage over general audit tools.

Study

Keep practicing

Answer questions with a score at the end, or practice just this topic with the explanation after each one. No sign-up needed.

Take the free AIF-C01 practice examPractice Data governance and lineageAll Data governance and lineage questions

Want more on Data governance and lineage? The 5 full-length practice sets have 13 more Data governance and lineage questions, 325 in all, none of them in the free exam. One payment of $14.99, no subscription. See the practice sets