一家公司已经开发了一个用于图像分类的机器学习模型。该公司希望将该模型部署到生产环境中,以便一个 Web 应用程序可以使用该模型。该公司需要实施一个解决方案来托管该模型并提供预测结果,同时无需管理任何底层基础设施。
哪种解决方案能够满足这些要求?
A. 使用亚马逊 SageMaker 无服务器推理来部署该模型。
B. 使用亚马逊 CloudFront 来部署该模型。
C. 使用亚马逊 API 网关来托管该模型并提供预测结果。
D. 使用 AWS Batch 来托管该模型并提供预测结果。
A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model.
The company needs to implement a solution to host the model and servepredictions without managing any of the underlying infrastructure.
Which solution will meet these requirements?
A. Use Amazon SageMaker Serverless Inference to deploy the model.
B. Use Amazon CloudFront to deploy the model.
C. Use Amazon API Gateway to host the model and serve predictions.
D. Use AWS Batch to host the model and serve predictions.