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Data Ingestion and TransformationmediumMultiple ChoiceObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

A data engineer needs to transform JSON data into Parquet format using AWS Glue. The input data has nested fields. Which Glue feature should be used to flatten the nested structure?

⚠ Common exam trap

Candidates often confuse the Map transform (which can flatten JSON with custom code) with a built-in flattening feature, but AWS Glue's Relationalize is the dedicated, no-code solution for this specific task, and the exam expects you to know the exact purpose of each transform.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Relationalize transform

The Relationalize transform is the correct choice because it is specifically designed to flatten nested JSON structures (such as arrays and structs) into a set of related tables (DataFrames) that can be written as Parquet. This transform recursively extracts nested fields, creating separate DataFrames for each level of nesting, which is essential for converting complex JSON into a flat, columnar Parquet format suitable for analytics.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Relationalize transform

    Why this is correct

    Relationalize transforms nested JSON into flat tables.

  • DropNullFields transform

    Why it's wrong here

    DropNullFields removes null fields, not flatten.

  • FindMatches transform

    Why it's wrong here

    FindMatches is for machine learning-based matching.

  • Map transform

    Why it's wrong here

    Map is for simple field transformations.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.