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Amazon Exam MLS-C01 Topic 5 Question 73 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 73
Topic #: 5
[All MLS-C01 Questions]

A wildlife research company has a set of images of lions and cheetahs. The company created a dataset of the images. The company labeled each image with a binary label that indicates whether an image contains a lion or cheetah. The company wants to train a model to identify whether new images contain a lion or cheetah.

.... Dh Amazon SageMaker algorithm will meet this requirement?

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Suggested Answer: A

by Maryann at Mar 29, 2023, 12:01 PM

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Rikki
1 months ago
I wonder if the company has considered training the model to identify the animals' species by their roars or purrs. Just a thought - a real 'lion's share' of insight there!
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Donte
1 months ago
Hmm, I'm going to have to go with option C, Object Detection - TensorFlow. Identifying the exact location of the animals in the image could be useful for the research company.
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Cyril
9 days ago
Yes, Object Detection - TensorFlow would definitely help in accurately identifying whether the images contain lions or cheetahs.
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Leatha
11 days ago
Yes, Object Detection - TensorFlow could definitely help in accurately identifying whether an image contains a lion or cheetah.
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Camellia
13 days ago
Agreed, being able to detect the exact location of the animals in the images would be very beneficial for the research company.
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Marta
13 days ago
Agreed, being able to detect the exact location of the animals in the images would be very beneficial.
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Jeffrey
21 days ago
I think option C, Object Detection - TensorFlow, would be the best choice for this task.
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Tien
22 days ago
I think option C, Object Detection - TensorFlow, would be the best choice for this task.
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Lisandra
2 months ago
Semantic segmentation? Seriously, D? We're talking about identifying lions and cheetahs, not pixel-level classification. Let's keep it simple and go with B or C.
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Wei
11 days ago
B) Image Classification - TensorFlow
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Paola
13 days ago
C) Object Detection - TensorFlow
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Louvenia
14 days ago
B) Image Classification - TensorFlow
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Shaquana
15 days ago
B) Image Classification - TensorFlow
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Leonard
21 days ago
C) Object Detection - TensorFlow
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Wei
2 months ago
B) Image Classification - TensorFlow
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Truman
2 months ago
I'm not convinced by the XGBoost option, A. That's more for structured data, not images. I'd stick with the TensorFlow-based solutions, B or C.
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Veronica
2 months ago
This looks like a classic image classification problem, so I'd go with option B, Image Classification - TensorFlow. It's a well-established algorithm for this kind of task.
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Junita
1 months ago
I think XGBoost could also work well for this type of classification problem.
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Lemuel
1 months ago
I agree, Image Classification - TensorFlow is a good choice for this task.
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Trinidad
2 months ago
Semantic segmentation - MXNet might be a good option to precisely outline the boundaries of the animals in the images.
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Viki
2 months ago
I would go with Object Detection - TensorFlow to accurately identify lions and cheetahs in the images.
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Gary
2 months ago
I think XGBoost could also work well for this type of classification problem.
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Ressie
2 months ago
I agree, Image Classification - TensorFlow is a good choice for this task.
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Kayleigh
2 months ago
I think both options B) and C) could work, but it depends on the specific requirements of the project.
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Karol
3 months ago
I disagree, I believe option C) Object Detection - TensorFlow would be more suitable for identifying lions and cheetahs in images.
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Laurel
3 months ago
I think option B) Image Classification - TensorFlow would be the best choice for this task.
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