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

▤ 68 Questions◷ 120 Minutes✓ 70% Passing Score▣ Updated: Sep 2026

Question 58 of 68

Single answer
CertylQ An ML engineer trained an ML model on Amazon SageMaker to detect automobile accidents from dosed-circuit TV footage. The ML engineer used SageMaker Data Wrangler to create a training dataset of images of accidents and non-accidents. because of variations in the quality of the images from various cameras. Which solution will improve the model's accuracy in the LEAST amount of time?
ACollect more images from all the cameras. Use Data Wrangler to prepare a new training dataset.
BRecreate the training dataset by using the Data Wrangler corrupt image transform. Specify the impulse noise option.
✓CRecreate the training dataset by using the Data Wrangler enhance image contrast transform. Specify the Gamma contrast option.
DRecreate the training dataset by using the Data Wrangler resize image transform. Crop all images to the same size.
✓
Correct Answer: C

Recreate the training dataset by using the Data Wrangler enhance image contrast transform. Specify the Gamma contrast option.

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Explanation

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