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Crucial Exams

CompTIA Data+ DA0-002 (V2) Practice Question

While building a marketing dashboard, you receive newline-delimited JSON files where each record contains a nested "events" list and a "device" dictionary. You need to convert these nested structures into one flat, tabular DataFrame so the results can be loaded directly into a relational table-without writing custom loops or manual parsing code. Which pandas function provides the most straightforward way to perform this flattening step in Python?

  • pandas.json_normalize()

  • pandas.melt()

  • pandas.pivot_table()

  • pandas.read_html()

CompTIA Data+ DA0-002 (V2)
Data Concepts and Environments
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