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Exam AWS Certified Machine Learning - Specialty topic 1 question 346 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 346
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A machine learning (ML) specialist collected daily product usage data for a group of customers. The ML specialist appended customer metadata such as age and gender from an external data source.

The ML specialist wants to understand product usage patterns for each day of the week for customers in specific age groups. The ML specialist creates two categorical features named dayofweek and binned_age, respectively.

Which approach should the ML specialist use discover the relationship between the two new categorical features?

  • A. Create a scatterplot for day_of_week and binned_age.
  • B. Create crosstabs for day_of_week and binned_age.
  • C. Create word clouds for day_of_week and binned_age.
  • D. Create a boxplot for day_of_week and binned_age.
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Suggested Answer: B 🗳️
by MultiCloudIronMan at Sept. 22, 2024, 5:49 p.m.
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italiancloud2025
1 month, 1 week ago
Selected Answer: B
Aunque Data Wrangler puede generar scatterplots for categorical data, they’re not as effective for understanding the relationship between two categorical variables as crosstabs are; crosstabs clearly show frequency counts for each combination.
upvoted 1 times
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aidanvanlatestein
3 months ago
Selected Answer: A
https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-analyses.html (see scatterplot)
upvoted 1 times
ef12052
1 week, 5 days ago
"Both of these columns must be numeric typed columns".... so B.
upvoted 1 times
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MultiCloudIronMan
6 months, 1 week ago
Selected Answer: B
copilot - Crosstabs (cross-tabulation) will allow the ML specialist to observe the frequency distribution of product usage across different days of the week and age groups, making it easier to identify patterns or relationships between these categorical features.
upvoted 1 times
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