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Exam AWS Certified Machine Learning - Specialty topic 1 question 350 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 350
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A company’s machine learning (ML) team needs to build a system that can detect whether people in a collection of images are wearing the company’s logo. The company has a set of labeled training data.

Which algorithm should the ML team use to meet this requirement?

  • A. Principal component analysis (PCA)
  • B. Recurrent neural network (RNN)
  • C. К-nearest neighbors (k-NN)
  • D. Convolutional neural network (CNN)
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Suggested Answer: D 🗳️
by MultiCloudIronMan at Sept. 22, 2024, 6:36 p.m.
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italiancloud2025
2 months, 1 week ago
Selected Answer: D
A. PCA: No, it's for dimensionality reduction, not image classification. B. RNN: No, it's designed for sequential data, not for images. C. k-NN: No, it's a basic classifier that doesn't effectively extract image features. D. CNN: Sí, because Convolutional Neural Networks are designed to extract spatial features from images for classification tasks.
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MultiCloudIronMan
7 months, 1 week ago
Selected Answer: D
from copilot- The correct answer is D. Convolutional neural network (CNN). CNNs are highly effective for image recognition tasks, including detecting logos in images. They can automatically learn and extract features from images, making them well-suited for identifying specific patterns, such as logo
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