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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 60 discussion

A Machine Learning Specialist is assigned a TensorFlow project using Amazon SageMaker for training, and needs to continue working for an extended period with no Wi-Fi access.
Which approach should the Specialist use to continue working?

  • A. Install Python 3 and boto3 on their laptop and continue the code development using that environment.
  • B. Download the TensorFlow Docker container used in Amazon SageMaker from GitHub to their local environment, and use the Amazon SageMaker Python SDK to test the code.
  • C. Download TensorFlow from tensorflow.org to emulate the TensorFlow kernel in the SageMaker environment.
  • D. Download the SageMaker notebook to their local environment, then install Jupyter Notebooks on their laptop and continue the development in a local notebook.
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Suggested Answer: B 🗳️

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DonaldCMLIN
Highly Voted 3 years ago
ANSWER B. YOU COULD INSTALL DOCKER-COMPOSE (AND NVIDIA-DOCKER IF TRAINING WITH A GPU) FOR LOCAL TRAINING HTTPS://SAGEMAKER.READTHEDOCS.IO/EN/STABLE/OVERVIEW.HTML#LOCAL-MODE HTTPS://GITHUB.COM/AWSLABS/AMAZON-SAGEMAKER-EXAMPLES/BLOB/MASTER/SAGEMAKER-PYTHON-SDK/TENSORFLOW_DISTRIBUTED_MNIST/TENSORFLOW_LOCAL_MODE_MNIST.IPYNB
upvoted 42 times
sqavi
1 year, 8 months ago
None of these links are working
upvoted 3 times
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VB
Highly Voted 2 years, 11 months ago
https://aws.amazon.com/blogs/machine-learning/use-the-amazon-sagemaker-local-mode-to-train-on-your-notebook-instance/ B
upvoted 10 times
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ef12052
Most Recent 2 weeks, 4 days ago
Selected Answer: B
https://aws.amazon.com/blogs/machine-learning/use-the-amazon-sagemaker-local-mode-to-train-on-your-notebook-instance/ stop using gpt....
upvoted 1 times
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sfwewv
2 months ago
Selected Answer: D
GPT said SageMaker Python SDK is less suitable for offline
upvoted 1 times
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rookiee1111
5 months, 2 weeks ago
Selected Answer: B
Correction it will be B, while D is possible, it cannot exactly mimic the sagemaker env, with docker all the configuration and libs will be available to the user which would be an ideal working setup for the DS to work with.
upvoted 1 times
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rookiee1111
5 months, 2 weeks ago
Selected Answer: D
You can easily download the notebook instance, and work locally using jupyter notebook configured on your laptop which is one the advantages of using sagemaker, and that is what Amazon also promotes imo.
upvoted 2 times
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ArchMelody
7 months, 4 weeks ago
Selected Answer: D
Both Amazon Q (AWS Expert) and ChatGPT insist on D. Plus all the links that I see here about Docker/Git and stuff, they either not working or deprecated so far. Not to mention their complexity to my eyes. Thus, I will go for D.
upvoted 2 times
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rav009
1 year ago
Selected Answer: B
the local mode of sagemaker SDK: https://sagemaker.readthedocs.io/en/stable/overview.html#local-mode B
upvoted 2 times
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Mickey321
1 year, 1 month ago
Selected Answer: B
Option B
upvoted 1 times
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ADVIT
1 year, 3 months ago
B, https://github.com/aws/sagemaker-tensorflow-serving-container
upvoted 1 times
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Valcilio
1 year, 7 months ago
Selected Answer: B
It's B
upvoted 1 times
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SriAkula
2 years, 7 months ago
Answer : D
upvoted 2 times
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noblate
2 years, 9 months ago
why not D?
upvoted 1 times
AddiWei
2 years, 7 months ago
My assumption is that D there is no way to test the code. You need the Sagemaker SDK in order to utilize dockerized container of Tensorflow from Sagemaker is my best guess.
upvoted 2 times
Tomatoteacher
1 year, 9 months ago
Cannot be D. If you used Jupyter notebook, you are unable to use it without internet access.
upvoted 1 times
rookiee1111
5 months, 2 weeks ago
That is incorrect, once jupyter notebook is configured you can use it offline.
upvoted 1 times
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CMMC
2 years, 11 months ago
Agreed for B
upvoted 4 times
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