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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 250 discussion

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?

  • A. Amazon S3
  • B. Amazon Elastic Block Store (Amazon EBS)
  • C. AWS CloudTrail
  • D. Amazon CloudWatch
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Suggested Answer: D 🗳️

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JonSno
6 months ago
d - Cloudwatch - no brainer for diagnostics logs
upvoted 1 times
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vkbajoria
7 months ago
Selected Answer: D
CloudWatch
upvoted 1 times
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loict
1 year, 1 month ago
Selected Answer: 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
upvoted 2 times
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Mickey321
1 year, 2 months ago
Selected Answer: D
Agree D for logging cloud watch
upvoted 1 times
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kaike_reis
1 year, 2 months ago
Selected Answer: D
Letter D is correct. Service for Logging (Cloudwatch), Service for Auditing and Access (CloudTrail), and Service for Storage (S3 and EBS).
upvoted 1 times
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kukreti18
1 year, 3 months ago
D is correct.
upvoted 1 times
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SandeepGun
1 year, 4 months ago
Selected Answer: 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
upvoted 2 times
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Mickey321
1 year, 4 months ago
Selected Answer: 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.
upvoted 2 times
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