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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 86 discussion

A company needs to develop an ML model. The model must identify an item in an image and must provide the location of the item.

Which Amazon SageMaker algorithm will meet these requirements?

  • A. Image classification
  • B. XGBoost
  • C. Object detection
  • D. K-nearest neighbors (k-NN)
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Suggested Answer: C 🗳️

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aws_Tamilan
2 weeks, 5 days ago
Selected Answer: C
🔑 Keyword: Identify an item in an image and provide its location ✅ Correct Answer: C. Object detection Why? Object detection algorithms detect and localize objects within images (bounding boxes). SageMaker supports built-in object detection using SSD (Single Shot Multibox Detector) and Faster R-CNN. Why Others Are Wrong? ❌ A. Image classification only identifies the object but does not provide its location. ❌ B. XGBoost is a gradient boosting algorithm for structured/tabular data, not images. ❌ D. k-NN is for classification/regression, not object localization.
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trongod05
1 month ago
Selected Answer: C
https://docs.aws.amazon.com/sagemaker/latest/dg/algo-object-detection-tech-notes.html
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