Question 2 of 68
Single answerCertylQ Case Study- A company is building a web-based Al application by using Amazon SageMaker.The application will provide the following capabilities and features: ML experimentation, training, a central model registry, model deployment, and model monitoring. The application must ensure secure and isolated use of training data during the ML lifecycle. The training data is stored in Amazon S3. The company is experimenting with consecutive training jobs. How can the company MINiMIZE infrastructure startup times for these jobs?
AUse Managed Spot Training.
✓BUse SageMaker managed warm pools.
CUse SageMaker Training Compiler.
DUse the SageMaker distributed data parallelism (SMDDP) library.
✓
Correct Answer: B
Use SageMaker managed warm pools.
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Explanation
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