DP-203 Develop data processing Practice Question
A manufacturing company uses Azure Data Lake Storage Gen2 to store IoT sensor data. The data arrives in JSON format with a nested structure. You need to transform the data into a tabular format for downstream analytics using Azure Synapse Pipelines. Which data flow transformation should you use?
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 in mapping data flows unpacks nested arrays into rows. Option A is wrong because the Aggregate transformation groups data but does not flatten nested structures. Option C is wrong because the Window transformation calculates aggregated values over a range of rows. Option D is wrong because the Pivot transformation rotates rows to columns.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Aggregate transformation
Why it's wrong here
The Aggregate transformation groups data but does not flatten nested structures.
- ✓
Flatten transformation
Why this is correct
The Flatten transformation in mapping data flows unpacks nested arrays into rows.
- ✗
Window transformation
Why it's wrong here
The Window transformation calculates aggregated values over a range of rows, but does not flatten nested structures.
- ✗
Pivot transformation
Why it's wrong here
The Pivot transformation rotates rows to columns, but does not flatten nested structures.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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