Security, compliance, and governanceFull notesSummaryRingkasanStoriesPracticeUnderstanding Data and Model Lineage7 exam-style questions on this lesson.Question 1 of 7What is data and model lineage?AThe record of where data and models came from and how they changedBThe cost history of the data and models in an AWS accountCThe list of users and roles with access to a modelDThe model's inference latency over timeCheck answerQuestion 2 of 7. Select two.Which TWO does documenting data origins support? (Select TWO.)AAccountabilityBTraceabilityCLower latencyDSmaller modelsEHigher temperatureCheck answer0 of 2 selectedQuestion 3 of 7. Select two.Which TWO should be recorded when documenting the origins of a dataset? (Select TWO.)AThe inference endpoint's instance typeBThe number of API calls per dayCHow the data was collectedDWhat preprocessing or transformations were appliedEThe team's lunch scheduleCheck answer0 of 2 selectedQuestion 4 of 7A company wants an inventory of all its datasets and their metadata. Which technique fits?AGuardrailsBCatalogingCModel cardsDData lineageCheck answerQuestion 5 of 7A team wants standardized documentation of a model's intended use, performance, limits, datasets, licenses, and known biases. Which tool fits?AAmazon MacieBA vector databaseCModel cardsDAWS CloudTrailCheck answerQuestion 6 of 7. Select two.Which TWO items does Amazon SageMaker Model Cards record? (Select TWO.)ARisk ratingBEvaluation resultsCEncryption keysDNetwork firewall rulesECustomer credit card numbersCheck answer0 of 2 selectedQuestion 7 of 7Why are SageMaker Model Cards useful for governance?AThey encrypt the model and its training dataBThey block harmful prompts at runtimeCThey speed up inference on SageMaker endpointsDThey guide correct use and support auditsCheck answerAWS Services and Features for Securing AI Systems14 exam-style questions on this lesson.Best Practices for Secure Data Engineering8 exam-style questions on this lesson.