You work as a machine learning specialist for the infectious disease testing department of a national government agency. Your machine learning team is responsible for creating a machine learning model that analyzes the daily test datasets for your country and produces daily predictions of trends of disease contraction and death rates. These projections are used throughout national and international news agencies to report on the daily projections of infectious disease progression. Since your model works on huge datasets on a daily basis, which of the following statements gives an accurate description of your inference processing?

Answer options:

A.You have set up a persistent endpoint to get predictions from your model using SageMaker batch transform.
B.You have set up a persistent endpoint to get predictions from your model using SageMaker hosting services.
C.You don`t need a persistent endpoint. You use SageMaker batch transform to get inferences from your large datasets.
D.You don`t need a persistent endpoint. You use SageMaker hosting services to get inferences from your large datasets.

Correct Answer: C
Option A is incorrect. SageMaker batch transform does not use a persistent endpoint. You use SageMaker batch transform to get inferences from large datasets. Also, your process runs one per day, so a persistent endpoint does not make sense.
Option B is incorrect. You are processing large datasets on a daily basis. Therefore you should use SageMaker batch transform, not SageMaker hosting services. SageMaker hosting services are used for real-time inference requests, not daily batch requests.
Option C is correct. Since you are using your endpoint to get inferences one per day from a large dataset, you don`t need a persistent endpoint. Also, SageMaker batch transform is the best deployment option when getting inferences from an entire dataset.
Option D is incorrect. SageMaker hosting services need a persistent endpoint. Also, since you are processing large datasets on a daily basis, you should use SageMaker batch transform, not SageMaker hosting services.
References:
Please see the AWS SageMaker developer guide titled Use Batch Transform (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform.html),
The AWS SageMaker developer guide titled Deploy Models for Inference (https://docs.aws.amazon.com/sagemaker/latest/dg/deploy-model.html)