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Amazon CLF-C02 Exam - Topic 3 Question 62 Discussion

Which benefit does Amazon Rekognition provide?
B) The ability to detect objects that appear in pictures
A) The ability to place watermarks on images
C) The ability to resize millions of images automatically
D) The ability to bid on object detection jobs

Amazon CLF-C02 Exam - Topic 3 Question 62 Discussion

Actual exam question for Amazon's CLF-C02 exam
Question #: 62
Topic #: 3
[All CLF-C02 Questions]

Which benefit does Amazon Rekognition provide?

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Suggested Answer: B

Amazon Rekognition is a service that provides deep learning-based image and video analysis. One of the benefits of Amazon Rekognition is the ability to detect objects that appear in pictures, such as faces, landmarks, animals, text, and scenes. This can enable applications to perform tasks such as face recognition, face verification, face comparison, face search, celebrity recognition, emotion detection, age range estimation, gender identification, facial analysis, facial expression recognition, and more.Amazon Rekognition OverviewAWS Certified Cloud Practitioner - aws.amazon.com


by Brent at Jul 20, 2026, 03:50 PM

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Roselle
3 days ago
A is interesting, but I don't think Rekognition does watermarks.
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Mariann
8 days ago
Not sure about B, I heard it can do facial recognition too.
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Douglass
13 days ago
Wait, I thought it could do more than just object detection?
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Launa
19 days ago
Totally agree, B is definitely what Rekognition does.
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Estrella
24 days ago
B is the right answer! It detects objects in images.
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Aliza
29 days ago
I’m pretty certain that Rekognition focuses on recognizing and analyzing images, so B sounds like the best choice here.
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Johnetta
1 month ago
I’m a bit confused because I thought Rekognition could do more than just detect objects. Could it also do something like resizing images?
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Lourdes
1 month ago
I remember practicing a question about image processing, and I think it mentioned object detection too. B seems right to me.
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Benton
1 month ago
I think Amazon Rekognition is mainly about image analysis, so I’m leaning towards option B, but I’m not completely sure.
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