MLS-C01 Web TestEngine Demo

Q20 Single choice

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.

MLS-C01 Web TestEngine demo