Topic 1 Question 250
A healthcare company wants to create a machine learning (ML) model to predict patient outcomes. A data science team developed an ML model by using a custom ML library. The company wants to use Amazon SageMaker to train this model. The data science team creates a custom SageMaker image to train the model. When the team tries to launch the custom image in SageMaker Studio, the data scientists encounter an error within the application.
Which service can the data scientists use to access the logs for this error?
Amazon S3
Amazon Elastic Block Store (Amazon EBS)
AWS CloudTrail
Amazon CloudWatch
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コメント(6)
- 正解だと思う選択肢: D
Amazon CloudWatch is a monitoring and logging service provided by AWS. It collects and stores log files and metrics from various AWS services, including Amazon SageMaker. CloudWatch allows you to gain visibility into your applications and infrastructure by providing a unified view of logs, metrics, and events.
👍 2Mickey3212023/06/09 - 正解だと思う選択肢: D
All logs are captured in CloudWatch by default those can be exported to S3 if needed. https://repost.aws/knowledge-center/sagemaker-studio-custom-container
👍 2SandeepGun2023/06/17 - 正解だと思う選択肢: D
A. NO - Amazon S3 is for SageMaker input B. NO - EBS is for data store C. NO - CloudTrail is for access log/security D. YES - Amazon CloudWatch will grab errors
👍 2loict2023/09/12
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