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Exam AWS Certified Machine Learning - Specialty topic 1 question 368 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 368
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

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?

  • 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
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Suggested Answer: D 🗳️
by italiancloud2025 at Feb. 18, 2025, 5:39 p.m.
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italiancloud2025
2 months, 1 week ago
Selected Answer: D
A. No, porque el gráfico de barras no permite trazar coordenadas y representar dimensiones adicionales con color y tamaño. B. No, porque el diagrama de caja muestra distribuciones, no coordenadas con atributos visuales extra. C. No, porque el histograma no permite asignar valores a ejes, color y tamaño simultáneamente. D. Sí, porque el gráfico de dispersión en SageMaker Canvas permite mapear dos ejes (coordenadas) y usar color y tamaño para representar dos dimensiones adicionales.
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