This certification validates practical ability to design, deploy, and operate scalable cloud services, with emphasis on artificial intelligence and machine learning. It is intended for professionals who manage reliable, secure, and cost-aware environments.
An ML engineer has trained an ML model by using Amazon SageMaker AI. The ML engineer determines that the model is overfitting and that the training data contain...
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Get Started FreeAn ML engineer wants to use Amazon SageMaker Data Wrangler to perform preprocessing on a dataset. The ML engineer wants to use the processed dataset to train a...
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Get Started FreeAn ML engineer is training a text generation model on Amazon SageMaker AI. After several epochs, the loss function does not converge, and the model’s accuracy o...
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Get Started FreeA company uses an NFS-based data store to store data for ML training. Linux-based systems access the data store. The company needs a hybrid system to make the s...
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Get Started FreeA company needs to analyze a large dataset that is stored in Amazon S3 in Apache Parquet format. The company wants to use one-hot encoding for some of the colum...
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