AWS Certified Cloud Practitioner
Get started today
Ultimate access to all questions.
Deep dive into the quiz with AI chat providers.
We prepare a focused prompt with your quiz and certificate details so each AI can offer a more tailored, in-depth explanation.
What is the primary purpose of Amazon SageMaker Inference Endpoints?
Real Exam
Community
RRitesh
A
To visualize predictions made by machine learning models
B
To provide secure, scalable real-time model hosting for inference
C
To clean and preprocess raw datasets
D
To automate Jupyter notebook creation
Explanation:
Amazon SageMaker Inference Endpoints are designed to provide secure, scalable real-time model hosting for inference. This allows machine learning models to be deployed as endpoints that can serve predictions in real-time to applications. The other options describe different functionalities:
-
Option A: Visualization is typically handled by other tools or SageMaker Studio
-
Option C: Data cleaning and preprocessing are part of the data preparation phase, not inference endpoints
-
Option D: Jupyter notebook automation is part of SageMaker Studio or notebook instances, not inference endpoints
Comments
Loading comments...