Comprehensive and Detailed Explanation From Exact AWS AI documents:
When a foundation model is customized directly in Amazon Bedrock, the correct way to use the customized model for inference is to purchase Provisioned Throughput.
Provisioned Throughput:
Enables consistent performance and predictable latency
Allows production use of customized Bedrock models
Is the required deployment mechanism for custom FMs in Bedrock
Why the other options are incorrect:
SageMaker endpoints (B) are not used for Bedrock-native custom models.
Model Registry (C) applies to SageMaker models.
Approval status (D) does not deploy or enable usage.
AWS AI document references:
Amazon Bedrock Custom Model Deployment
Provisioned Throughput for Foundation Models
Using Customized Models in Amazon Bedrock