AWS Certified AI Practitioner AIF-C01 Practice Question
A team stores customer purchase records in a relational database with fixed columns and data types, then exports the table to train an ML model. According to AI data classifications, what type of data are these records?
Relational tables contain highly organized information arranged in rows and columns with predefined data types. Such well-defined schema makes the content readily searchable and machine-readable, so it is classified as structured data. Unstructured data refers to free-form content like raw text, images, or audio that lacks a fixed schema. Semi-structured data (for example, JSON or XML) has some organizational tags but is not as rigid as a relational table. Time-series image data would be unstructured visual content collected over time, not a tabular dataset.
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What is structured data?
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How does structured data differ from unstructured data?
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Can JSON or XML data be considered structured?
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What is structured data in ML?
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How does structured data differ from unstructured data?
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Why is structured data preferred for ML models?
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AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
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