AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 331

Question

A company maintains a 2 TB dataset that contains information about customer behaviors. The company stores the dataset in Amazon S3. The company stores a trained model container in Amazon Elastic Container Registry (Amazon ECR). A machine learning (ML) specialist needs to score a batch model for the dataset to predict customer behavior. The ML specialist must select a scalable approach to score the model. Which solution will meet these requirements MOST cost-effectively?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Score the model by using AWS Batch managed Amazon EC2 Spot Instances. Create an Amazon FSx for Lustre volume and mount it to the Spot Instances. EC2 Spot Instances use spare capacity at a large discount, ideal for fault-tolerant or flexible workloads. Spot Instances use spare capacity at a large discount, ideal for fault-tolerant or interruptible workloads. Amazon EC2 provides resizable virtual servers when you need full control of the operating system. This option delivers the requirement at the lowest cost.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 331