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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 61 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 61
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A company has historical data that shows whether customers needed long-term support from company staff. The company needs to develop an ML model to predict whether new customers will require long-term support.
Which modeling approach should the company use to meet this requirement?

  • A. Anomaly detection
  • B. Linear regression
  • C. Logistic regression
  • D. Semantic segmentation
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Suggested Answer: C 🗳️
by GiorgioGss at Nov. 28, 2024, 7:08 a.m.
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Saransundar
1 month ago
Selected Answer: C
A. Anomaly detection: For rare events, not binary classification. B. Linear regression: For predicting continuous numbers, not Yes/No. C. Logistic regression: Perfect for Yes/No predictions (binary classification). --> RIGHT D. Semantic segmentation: For images, not customer prediction.
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GiorgioGss
1 month, 1 week ago
Selected Answer: C
https://aws.amazon.com/what-is/logistic-regression/
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