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MLA-C01 · Question #224
MLA-C01 Question #224: Real Exam Question with Answer & Explanation
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Deployment and Orchestration of ML Workflows
Question
A company needs to deploy a custom-trained classification ML model on AWS. The model must make near real-time predictions with low latency and must handle variable request volumes. Which solution will meet these requirements?
Options
- ACreate an Amazon SageMaker AI batch transform job to process inference requests in batches.
- BUse Amazon API Gateway to receive prediction requests. Use an Amazon S3 bucket to host and
- CDeploy an Amazon SageMaker AI endpoint. Configure auto scaling for the endpoint.
- DLaunch AWS Deep Learning AMIs (DLAMI) on two Amazon EC2 instances. Run the instances
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Topics
#SageMaker Endpoints#Real-time Inference#Auto Scaling#Model Deployment