You work as a machine learning specialist for a financial services firm that specializes in risk analysis for other financial services firms. Your machine learning team has been tasked with building a model that categorizes a firm’s foreign exchange risk for each of their portfolios. You have begun building your model using SageMaker Studio, and you are at the point in your data exploration where you need to know the importance of each of the features in your training dataset. Which option gives you the most efficient view of this feature comparison?

Answer options:

A.Use the SageMaker Data Wrangler target leakage visualization to show the importance score of each feature in a bar chart.
B.Use the SageMaker Clarify bias visualization to show the importance score of each feature in a table.
C.Use the SageMaker Data Wrangler bias visualization to show the importance score of each feature in a scatter chart.
D.Use the SageMaker Data Wrangler quick model visualization to show the importance score of each feature in a bar chart.

Correct Answer: D
Option A is incorrect. The SageMaker Data Wrangler target leakage visualization shows when there is data in a machine learning training dataset that is strongly correlated with the target label. This visualization will not give you the importance score of each feature.
Option B is incorrect. The SageMaker Clarify bias visualization helps you identify bias during data preparation. This visualization will not give you the importance score of each feature.
Option C is incorrect. The SageMaker Data Wrangler bias visualization helps you uncover potential biases in your data. This visualization will not give you the importance score of each feature.
Option D is correct. The SageMaker Data Wrangler target leakage visualization helps you evaluate your data by producing importance scores for each feature in your dataset.
References:
Please see the Amazon SageMaker developer guide titled Analyze and Visualize (https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-analyses.html),
The Amazon SageMaker developer guide titled Generate Reports for Bias in Pretraining Data in SageMaker Studio (https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-data-bias-reports-ui.html)