Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 38 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty

Question #: 38
Topic #: 1

[All AWS Certified Machine Learning - Specialty Questions]

A company is observing low accuracy while training on the default built-in image classification algorithm in Amazon SageMaker. The Data Science team wants to use an Inception neural network architecture instead of a ResNet architecture.
Which of the following will accomplish this? (Choose two.)

A. Customize the built-in image classification algorithm to use Inception and use this for model training.
B. Create a support case with the SageMaker team to change the default image classification algorithm to Inception.
C. Bundle a Docker container with TensorFlow Estimator loaded with an Inception network and use this for model training.
D. Use custom code in Amazon SageMaker with TensorFlow Estimator to load the model with an Inception network, and use this for model training.
E. Download and apt-get install the inception network code into an Amazon EC2 instance and use this instance as a Jupyter notebook in Amazon SageMaker.

Show Suggested Answer

Suggested Answer: CD 🗳️

by DonaldCMLIN at Nov. 16, 2019, 8:57 a.m.

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DonaldCMLIN

Highly Voted 2 years, 4 months ago

You might be spent a lot of money for ask AWS A.CHANGE built-in image OR B.Create a support case. The effectial way BOTH RELATIVE TO SageMaker Estimator C.DOCKER OR BRING YOUR CODE BY D.SageMaker with TensorFlow Estimator THE BEAUTYFUL ANSWER ARE C AND D

upvoted 33 times

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Phong

Highly Voted 2 years, 3 months ago

I will go for C & D

upvoted 10 times

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hug_c0sm0s

Most Recent 11 months, 1 week ago

Selected Answer: CD

Option A is not possible because the built-in image classification algorithm cannot be customized. Option B is not feasible because it is not possible to change the default image classification algorithm through a support case. Option E is also not a recommended approach because it involves manually installing software on an EC2 instance rather than using the managed services provided by SageMaker.

upvoted 4 times

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sqavi

11 months, 3 weeks ago

Selected Answer: CD

The effectial way BOTH RELATIVE TO SageMaker Estimator C.DOCKER OR BRING YOUR CODE BY D.SageMaker with TensorFlow Estimator

upvoted 2 times

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Huy

2 years, 3 months ago

This question ask for 2 ways not a set of actions. So may be confused.

upvoted 1 times

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ahquiceno

2 years, 3 months ago

Anwers AD go to: https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers.html

upvoted 2 times

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ybad

2 years, 3 months ago

CD and also A says it but in a more general term....

upvoted 1 times

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jaydec

2 years, 3 months ago

https://aws.amazon.com/blogs/machine-learning/transfer-learning-for-custom-labels-using-a-tensorflow-container-and-bring-your-own-algorithm-in-amazon-sagemaker/

upvoted 3 times

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Antriksh

2 years, 3 months ago

C and D are correct

upvoted 5 times

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DonaldCMLIN

2 years, 4 months ago

https://docs.aws.amazon.com/zh_tw/sagemaker/latest/dg/your-algorithms.html https://aws.amazon.com/tw/blogs/machine-learning/transfer-learning-for-custom-labels-using-a-tensorflow-container-and-bring-your-own-algorithm-in-amazon-sagemaker/ https://docs.aws.amazon.com/zh_tw/sagemaker/latest/dg/tf.html

upvoted 1 times

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