DP-203 Develop data processing Practice Question
You need to transform data in Azure Synapse Analytics using a language that supports procedural logic and error handling. Which option should you use?
⚠ Common exam trap
It's easy for candidates to confuse PolyBase's ability to query external data with the ability to perform procedural transformations, overlooking that PolyBase is a query engine, not a programming construct for logic and error handling.
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
✓
T-SQL stored procedures
T-SQL stored procedures are the correct choice because they support procedural logic (e.g., IF/ELSE, loops, TRY/CATCH) and error handling within Azure Synapse Analytics dedicated SQL pools. This allows you to encapsulate complex data transformation logic, handle runtime errors gracefully, and manage transactions, which is not possible with declarative objects like views or external tables.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
T-SQL stored procedures
Why this is correct
Supports procedural logic and error handling.
- ✗
CREATE VIEW
Why it's wrong here
Provides a virtual table, no procedural logic.
- ✗
PolyBase
Why it's wrong here
Used for querying external data sources.
- ✗
CREATE EXTERNAL TABLE
Why it's wrong here
Defines table schema for external data.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Data Transformation Pipelines
Data transformation pipelines are automated sequences of steps that take raw data from a source, clean and reshape it into a usable format, and then load it into a destination for analysis or storage.
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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