AWS Certified Machine Learning – Specialty — Question 344
A company is using a machine learning (ML) model to recommend products to customers. An ML specialist wants to analyze the data for the most popular recommendations in four dimensions.
The ML specialist will visualize the first two dimensions as coordinates. The third dimension will be visualized as color. The ML specialist will use size to represent the fourth dimension in the visualization
Which solution will meet these requirements?
Answer options
- A. Use the Amazon SageMaker Data Wrangler bar chart feature. Use Group By to represent the third and fourth dimensions.
- B. Use the Amazon SageMaker Canvas box plot visualization Use color and fill pattern to represent the third and fourth dimensions
- C. Use the Amazon SageMaker Data Wrangler histogram feature Use color and fill pattern to represent the third and fourth dimensions
- D. Use the Amazon SageMaker Canvas scatter plot visualization Use scatter point size and color to represent the third and fourth dimensions
Correct answer: D
Explanation
A scatter plot is the ideal visualization for representing four dimensions simultaneously, as the X and Y coordinates map the first two dimensions, while the color and size of the individual scatter points represent the third and fourth dimensions. Amazon SageMaker Canvas supports scatter plots with these visual encodings. Other chart types like histograms, box plots, and bar charts are not designed to natively represent four dimensions using coordinate space, color, and size in this manner.