The exam tests your knowledge and skills in five key domains: Data Engineering (20%): This includes the ability to design and implement data architectures and data processing workflows. Exploratory Data Analysis (24%): It evaluates your ability to analyze and prepare data for ML models. Modeling (36%): This domain covers selecting appropriate ML algorithms, training models, and optimizing them for deployment.

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