Question 57 of 68
Single answerCertylQ A company has an ML model that needs to run one time each night to predict stock values. The model input is 3 MB of data that is collected during the current day. The model produces the predictions for the next day. The prediction process takes less than 1 minute to finish running. How should the company deploy the model on Amazon SageMaker to meet these requirements?
AUse a multi-model serverless endpoint. Enable caching.
BUse an asynchronous inference endpoint. Set the InitiallnstanceCount parameter to 0.
CUse a real-time endpoint. Configure an auto scaling policy to scale the model to O when the model is not in use.
✓DUse a serverless inference endpoint. Set the MaxConcurrency parameter to 1.
✓
Correct Answer: D
Use a serverless inference endpoint. Set the MaxConcurrency parameter to 1.
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of AWS certification topics.