This certification validates practical skills in artificial intelligence and machine learning, including data preparation, analysis, governance, and communicating reliable insights. It is intended for professionals who build or operate data-driven solutions.
A Machine Learning Engineer wants to use on-demand features to train a model. They have a Python UDF, which relies on data fetched from a FeatureLookup. However...
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Get Started FreeA Machine Learning Engineer is working with a Spark DataFrame containing 100 million rows of retail transactions across thousands of stores. Each store requires...
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Get Started FreeA Machine Learning Engineer has previously built a feature table for model training and inference using a batch mode approach: They have been informed that they...
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Get Started FreeA Machine Learning Engineer needs to develop a custom anomaly detection model that monitors the internal IT infrastructure of their company. The model takes in...
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Get Started FreeA Data Scientist is training a binary classification model using LogisticRegression in SparkML on a large dataset stored in a Delta table. After fitting the pip...
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