MLS-C01 · Question #395
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…
The correct answer is D. Use the Amazon SageMaker Canvas scatter plot visualization Use scatter point size and color to. A scatter plot is an ideal visualization for representing data with four dimensions as follows: 1. First two dimensions: Represented as X and Y coordinates (the primary purpose of a scatter 2. Third dimension: Represented by color, allowing differentiation across categories or…
Question
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?
Options
- AUse the Amazon SageMaker Data Wrangler bar chart feature. Use Group By to represent the third
- BUse the Amazon SageMaker Canvas box plot visualization Use color and fill pattern to represent
- CUse the Amazon SageMaker Data Wrangler histogram feature Use color and fill pattern to
- DUse the Amazon SageMaker Canvas scatter plot visualization Use scatter point size and color to
How the community answered
(31 responses)- A3% (1)
- B3% (1)
- C10% (3)
- D84% (26)
Explanation
A scatter plot is an ideal visualization for representing data with four dimensions as follows: 1. First two dimensions: Represented as X and Y coordinates (the primary purpose of a scatter 2. Third dimension: Represented by color, allowing differentiation across categories or ranges. 3. Fourth dimension: Represented by the size of the scatter points, adding another layer of quantitative data visualization. Amazon SageMaker Canvas provides scatter plot capabilities that can utilize size and color for additional data dimensions. This meets the ML specialist's requirements.
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