MLS-C01 · Question #278
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…
The correct answer is D. Amazon CloudWatch. 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…
Question
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?
Options
- AAmazon S3
- BAmazon Elastic Block Store (Amazon EBS)
- CAWS CloudTrail
- DAmazon CloudWatch
How the community answered
(49 responses)- B4% (2)
- C2% (1)
- D94% (46)
Explanation
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.
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