Security, compliance, and governanceFull notesSummaryRingkasanStoriesPracticeBest Practices for Secure Data Engineering8 exam-style questions on this lesson.Question 1 of 8In the Generative AI Security Scoping Matrix, who controls user data (end users' inputs)?AThe customer, in every scopeBAWS aloneCNobodyDThe model provider in every scopeCheck answerQuestion 2 of 8A company fine-tunes an existing FM with its own data (Scope 4). Who controls the fine-tuning data?AThe end usersBThe customerCAWSDThe model providerCheck answerQuestion 3 of 8In which scope does the customer control the training data used to pre-train the model?AScope 1BScope 4CScope 5DScope 3Check answerQuestion 4 of 8. Select two.Which TWO AWS services can collect data in the data engineering lifecycle? (Select TWO.)AAmazon LexBAmazon KinesisCAWS GlueDAWS ShieldEAmazon PollyCheck answer0 of 2 selectedQuestion 5 of 8. Select two.Which TWO are secure data engineering practices? (Select TWO.)ARaise the learning rateBUse privacy-enhancing technologiesCSplit data into training and test setsDRemove duplicate rowsEControl data accessCheck answer0 of 2 selectedQuestion 6 of 8. Select two.Which TWO measures help ensure data integrity? (Select TWO.)ADeleting audit trailsBValidation checks for schema, referential integrity, and business rulesCTransaction atomicityDSkipping backupsESharing data publiclyCheck answer0 of 2 selectedQuestion 7 of 8Which AWS resource provides guidelines for designing privacy controls on AWS?AAWS Trusted AdvisorBAmazon DetectiveCSageMaker Model CardsDAWS Privacy Reference Architecture (AWS PRA)Check answerQuestion 8 of 8What is the data engineering lifecycle?AAn iterative cycle of collecting, preparing, and analyzing dataBA model deployment option for SageMaker endpointsCA billing process for data transfer costsDA one-time import of data before trainingCheck answerUnderstanding Data and Model Lineage7 exam-style questions on this lesson.Introduction3 exam-style questions on this lesson.