MLA-C01 Question 422
Select 3You are a Machine Learning Engineer managing several ML training jobs on Amazon SageMaker. Your team has noticed an unexpected increase in costs, and you are tasked with identifying and optimizing these costs. Which tools and strategies can help you identify the root cause of the cost increase?
- A
Use AWS Cost Explorer to analyze historical spending patterns and filter costs based on SageMaker-specific services.
- B
Utilize AWS Trusted Advisor to identify underutilized SageMaker training jobs and suggest cost-saving recommendations.
- C
Enable detailed billing reports in AWS Billing and Cost Management to analyze the cost breakdown of SageMaker resources.
- D
Use Amazon SageMaker Model Monitor to track and reduce cost spikes in training jobs.
- E
Activate cost allocation tags for SageMaker resources to identify costs associated with specific projects or users.
Show answer and explanation
Correct answers: A, C, E
Explanation
To identify and optimize costs for SageMaker training jobs, you can use AWS Cost Explorer to analyze historical spending, AWS Billing and Cost Management for detailed insights, and cost allocation tags to categorize expenses. These tools provide a comprehensive view of cost drivers and allow for targeted optimizations. AWS Trusted Advisor and SageMaker Model Monitor, while valuable for other purposes, are not designed for cost analysis specific to SageMaker usage.
- A. Correct.
Correct: AWS Cost Explorer provides historical cost and usage data and allows filtering by specific services like SageMaker, helping to identify trends and anomalies in spending.
- B. Incorrect.
Incorrect: AWS Trusted Advisor focuses on providing recommendations for cost optimization, security, fault tolerance, and performance, but it does not directly identify underutilized SageMaker training jobs.
- C. Correct.
Correct: AWS Billing and Cost Management with detailed billing reports provides a granular view of resource usage and cost, which is essential for understanding SageMaker-related spending.
- D. Incorrect.
Incorrect: Amazon SageMaker Model Monitor is used to monitor model performance and data drift, not cost optimization or spending analysis.
- E. Correct.
Correct: Activating cost allocation tags helps track and categorize costs for specific SageMaker projects or teams, making it easier to pinpoint cost drivers.