Microsoft
DP-700 · Question #110
Your organization is tasked with transforming a dataset containing semi-structured JSON data into a structured tabular format. The workflow includes: - Parsing the nested JSON data into individual col
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Design and implement data ingestion and transformation
Question
Your organization is tasked with transforming a dataset containing semi-structured JSON data into a structured tabular format. The workflow includes: - Parsing the nested JSON data into individual columns. - Applying advanced transformations such as pivoting rows into columns and calculating aggregated metrics. - Writing custom Python logic to handle outliers and fill missing values. Which tool in Microsoft Fabric would be the most appropriate for this transformation task?
Exhibit
Options
- ADataflows
- BNotebooks
- CData Pipeline
- DT-SQL
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Topics
#Data Transformation#Notebooks#Spark#JSON Processing
