Q: Can I use my own dataset?
Yes. By default, the solution is configured to analyze a publicly available turbofan degradation simulation dataset from NASA. But, you can customize the solution to use your own dataset.
Q: Can I change the default instance types?
Yes. By default, the solution uses an ml.t2.medium Amazon SageMaker notebook instance to orchestrate the model, and it uses an ml.p3.2xlarge Amazon SageMaker training instance to perform the training. But, you can modify the solution to use different instance types.
Q: Can I deploy this solution in any Amazon Web Services Region?
Predictive Maintenance Using Machine Learning uses Amazon SageMaker which is currently available in specific Amazon Web Services Regions only. Therefore, you must launch this solution in a region where Amazon SageMaker is available.
Training and Certification
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Getting into the Serverless Mindset
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This exam tests your technical expertise in designing and implementing Amazon Web Services and hybrid IT architectures at scale. This is for anyone who performs complex networking tasks.
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