DP-203 Develop data processing Practice Question
You need to transform JSON data containing nested arrays into a tabular format for analysis in Azure Synapse Analytics. Which transformation in Azure Data Factory or Synapse Pipelines should you use?
⚠ Common exam trap
Test-takers frequently confuse the Flatten transformation with the Unpivot transformation, which pivots columns into rows but does not handle nested JSON arrays, or they mistakenly think the Derived Column transformation can handle array expansion through expressions.
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
✓
Flatten transformation
The Flatten transformation is specifically designed to denormalize nested JSON arrays into a tabular format by expanding array elements into multiple rows while preserving parent attributes. In Azure Data Factory and Synapse Pipelines, this transformation handles complex hierarchical structures like arrays of objects, making it the correct choice for converting JSON with nested arrays into a row-based dataset suitable for analysis in Azure Synapse 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.
- ✗
Join transformation
Why it's wrong here
Join combines rows from two separate data streams on matching keys; it does not expand an array within a single document. It suits correlating datasets. Flattening nested arrays into tabular rows requires the Flatten transformation, which unrolls array elements into individual rows.
- ✗
Derived Column transformation
Why it's wrong here
Derived Column adds or modifies columns using expressions on existing fields; it cannot unroll an array into multiple rows. It suits computing new calculated values. Converting nested arrays to tabular rows needs the Flatten transformation, which expands array elements.
- ✗
Aggregate transformation
Why it's wrong here
Aggregate computes grouped summaries such as sums or counts, not row expansion. It is the right choice for calculating totals per category. Flattening nested arrays into rows requires the Flatten transformation, which unrolls array elements into separate rows.
- ✓
Flatten transformation
Why this is correct
The Flatten transformation unnests nested arrays and structures, expanding each element into separate rows while preserving parent columns. This satisfies the requirement to convert hierarchical JSON into a tabular shape suitable for downstream analysis in Azure Synapse Analytics.
Go deeper
Related to this question
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Implement Azure Stream Analytics
Key term
Azure Data Factory
Azure Data Factory is a cloud-based data integration service that lets you create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations.
Key term
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based data integration, warehousing, and analytics service that brings together big data and data warehouse capabilities under one platform.
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