AWS Certified Machine Learning – Specialty — Question 61

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? (Choose two.)

Answer options

• A. The factorization machines (FM) algorithm
• B. The Latent Dirichlet Allocation (LDA) algorithm
• C. The principal component analysis (PCA) algorithm
• D. The k-means algorithm
• E. The Random Cut Forest (RCF) algorithm

Correct answer: C, D

Explanation

The principal component analysis (PCA) algorithm is effective for reducing dimensionality and identifying patterns in high-dimensional data, which is useful for analyzing the extensive responses. The k-means algorithm is suitable for clustering citizens based on their answers, allowing for the identification of groups with similar healthcare and social needs. The other options, while valuable in different contexts, do not specifically address the requirements of clustering and dimensionality reduction in this scenario.