MLS-C01 · Question #59
An agency collects census information within a country to determine healthcare and social program needs by province and city. The census form collects responses for approximately 500 questions from…
The correct answer is C. The principal component analysis (PCA) algorithm D. The k-means algorithm. The PCA and K-means algorithms are useful in collection of data using census form. https://aws.amazon.com/blogs/machine-learning/analyze-us-census-data-for-population- segmentation-using-amazon-sagemaker/
Question
An agency collects census information within a country to determine healthcare and social program needs by province and city. The census form collects responses for approximately 500 questions from each citizen. Which combination of algorithms would provide the appropriate insights? (Select TWO.)
Options
- AThe factorization machines (FM) algorithm
- BThe Latent Dirichlet Allocation (LDA) algorithm
- CThe principal component analysis (PCA) algorithm
- DThe k-means algorithm
- EThe Random Cut Forest (RCF) algorithm
How the community answered
(34 responses)- A9% (3)
- B3% (1)
- C85% (29)
- E3% (1)
Explanation
The PCA and K-means algorithms are useful in collection of data using census form. https://aws.amazon.com/blogs/machine-learning/analyze-us-census-data-for-population- segmentation-using-amazon-sagemaker/
Topics
Community Discussion
No community discussion yet for this question.