MLS-C01 · Question #350
MLS-C01 Question #350: Real Exam Question with Answer & Explanation
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Question
A growing company has a business-critical key performance indicator (KPI) for the uptime of a machine learning (ML) recommendation system. The company is using Amazon SageMaker hosting services to develop a recommendation model in a single Availability Zone within an AWS Region. A machine learning (ML) specialist must develop a solution to achieve high availability. The solution must have a recovery time objective (RTO) of 5 minutes. Which solution will meet these requirements with the LEAST effort?
Options
- ADeploy multiple instances for each endpoint in a VPC that spans at least two Regions.
- BUse the SageMaker auto scaling feature for the hosted recommendation models.
- CDeploy multiple instances for each production endpoint in a VPC that spans least two subnets
- DFrequently generate backups of the production recommendation model. Deploy the backups in a
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