You are working on a Linear Learner algorithm-based model to predict the quarterly sales for each region of your company’s global sales force. The model needs to use data from your sales team’s past sales performance, such as the quantity of products sold, revenue generated, expenses incurred, sales force size, etc.
You and your team are in the process of training the model based on the SageMaker built-in Linear Learner algorithm. You want to track and monitor metrics, such as test objective loss and test precision, as the model trains. Which AWS service(s) would you use to track and monitor these metrics? (Select THREE)

Answer options:

A.Specify the metrics you want to track using the AWS Management Dashboard for SageMaker.
B.Specify the metrics you want to track using the AWS Management Console for SageMaker.
C.Specify the metrics you want to track using the SageMaker Javascript SDK APIs.
D.Specify the metrics you want to track using the SageMaker Python SDK APIs.
E.Use the CloudWatch console for visualizing time-series curves of your metrics.
F.Use the SageMaker Javascript SDK APIs to visualize your metrics programmatically.

Answers: B, D, E,
Option A is incorrect. You can specify the metrics you want to track using the AWS Management Console for SageMaker, not the AWS Management Dashboard for SageMaker.
Option B is correct. To specify the metrics you want to track, you use the AWS Management Console for SageMaker or the SageMaker Python SDK APIs.
Option C is incorrect.To specify the metrics you want to track, you use the AWS Management Console for SageMaker or the SageMaker Python SDK APIs, not the SageMaker Javascript SDK APIs.
Option D is correct. To specify the metrics you want to track, you use the AWS Management Console for SageMaker or the SageMaker Python SDK APIs.
Option E is correct. Once the model training starts, SageMaker streams the metrics you specified to CloudWatch, where you can visualize the time-series curves of your metrics.
Option F is incorrect. You can visualize your metrics either via the CloudWatch console or the SageMaker Python SDK APIs, not the SageMaker Javascript SDK APIs.
Reference:
Please see the AWS Machine Learning Blog titled Easily monitor and visualize metrics while training models on Amazon SageMaker.