Developing generative AI solutionsFull notesSummaryRingkasanStoriesPracticeDeploying the Application6 exam-style questions on this lesson.Question 1 of 6A team plans to deploy an Amazon Bedrock application in a new AWS Region. What must it check first?AThat the Region uses a different APIBThat the models it needs are available in that RegionCThat the Region has a data center in every countryDThat the Region has no quotasCheck answerQuestion 2 of 6A launch is expected to bring a large spike in traffic. What should the team check to avoid throttling?AThe ROUGE scoreBThe model's temperatureCService quotas for the accountDThe number of training epochsCheck answerQuestion 3 of 6How does pricing typically work for managed generative AI services like Amazon Bedrock on demand?AA one-time license for unlimited useBA large minimum monthly feeCFree for all usageDPay for what you use, with no minimum feesCheck answerQuestion 4 of 6Under the shared responsibility model, who is responsible for security when deploying a generative AI app on AWS?ABoth AWS and the customer, each for their own partBAWS alone, since the model runs on AWSCThe customer alone, since it owns the appDThe model provider alone, since it built the FMCheck answerQuestion 5 of 6A company plans to call a foundation model hosted outside AWS from its AWS application. What should it evaluate?AOnly the model's logoBThe risk of data leaving its AWS accountCOnly the model's latencyDNothing, since data stays private automaticallyCheck answerQuestion 6 of 6. Select two.Which TWO areas should the team consider when deploying the application? (Select TWO.)AScalabilityBUser experienceCRemoving security controls for speedDDeleting monitoringESkipping evaluationCheck answer0 of 2 selectedEvaluating an FM11 exam-style questions on this lesson.Business Case5 exam-style questions on this lesson.