Topic 1 Question 284
2 つ選択A company is building custom deep learning models in Amazon SageMaker by using training and inference containers that run on Amazon EC2 instances. The company wants to reduce training costs but does not want to change the current architecture. The SageMaker training job can finish after interruptions. The company can wait days for the results.
Which combination of resources should the company use to meet these requirements MOST cost-effectively?
On-Demand Instances
Checkpoints
Reserved Instances
Incremental training
Spot instances
ユーザの投票
コメント(3)
- 正解だと思う選択肢: BE
To meet the requirements of reducing training costs and being cost-effective in an Amazon SageMaker environment, the company should consider the following combination of resources:
E. Spot Instances: Spot Instances are spare EC2 instances that are available at a lower cost compared to On-Demand Instances. By using Spot Instances for training, the company can significantly reduce the cost of running SageMaker training jobs. B. Checkpoints: Checkpoints allow the model training process to save the model's current state during training. If the training job is interrupted (e.g., due to a Spot Instance termination), the model can resume from the last saved checkpoint rather than starting from scratch.
👍 1aquanaveen2023/12/17 - 正解だと思う選択肢: BE
Spot Instance are cheapest and can be used with Checkpoints.
👍 1taustin22023/12/19 - 正解だと思う選択肢: BE
Spot instances and checkpoints.
👍 1taustin22023/12/23
シャッフルモード