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Exam AWS Certified Machine Learning - Specialty topic 1 question 114 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 114
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

The chief editor for a product catalog wants the research and development team to build a machine learning system that can be used to detect whether or not individuals in a collection of images are wearing the company's retail brand. The team has a set of training data.
Which machine learning algorithm should the researchers use that BEST meets their requirements?

  • A. Latent Dirichlet Allocation (LDA)
  • B. Recurrent neural network (RNN)
  • C. K-means
  • D. Convolutional neural network (CNN)
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by SophieSu at Feb. 23, 2021, 3:41 a.m.
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SophieSu
Highly Voted 3 years, 8 months ago
D. CNN - image
upvoted 36 times
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Chiquitabandita
Most Recent 1 year ago
yeah, nothing creepy about a company wanting to do this :)
upvoted 2 times
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Mickey321
1 year, 10 months ago
Selected Answer: D
D - image
upvoted 2 times
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kaike_reis
1 year, 11 months ago
Selected Answer: D
D is the correct Well, I did those exams topics questions for 2 weeks and still easier compared to Maarek exams that simulate AWS MLS. Is that correct? Can I expect the exam to be easier as it's in exams topics?
upvoted 3 times
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ccpmad
1 year, 11 months ago
Selected Answer: D
Convolutional neural networks (CNNs) are specifically designed for image recognition tasks and have been highly successful in detecting patterns and features within images. CNNs are particularly effective in capturing spatial patterns and visual features from images
upvoted 2 times
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ryuhei
2 years, 9 months ago
Selected Answer: D
Answer is "D"
upvoted 1 times
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