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.
A company is building an Amazon SageMaker AI pipeline for an ML model. The pipeline uses distributed processing and training. An ML engineer needs to encrypt ne...
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Get Started FreeAn ML model is deployed in production. The model has performed well and has met its metric thresholds for months. An ML engineer who is monitoring the model obs...
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Get Started FreeAn ML engineer is using AWS Glue to transform proprietary data from a third-party vendor to a format that the ML engineer intends to use with the Amazon SageMak...
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Get Started FreeA company has significantly increased the amount of data that is stored as .csv files in an Amazon S3 bucket. Data transformation scripts and queries are now ta...
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Get Started FreeAn ML engineer is analyzing a classification dataset before training a model in Amazon SageMarker AI. The ML engineer suspects that the dataset has a significan...
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