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?

A. Deploy multiple instances for each endpoint in a VPC that spans at least two Regions.

B. Use the SageMaker auto scaling feature for the hosted recommendation models.

C. Deploy multiple instances for each production endpoint in a VPC that spans least two subnets that are in a second Availability Zone.

D. Frequently generate backups of the production recommendation model. Deploy the backups in a second Region.








 

Suggested Answer: C

Community Answer: C




This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


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