Quick Answer
The answer is the Derived Column transformation. This is the correct choice because it enables you to create new columns by writing expressions that leverage built-in string functions like split(), which can parse the 'FullName' column in the 'LastName, FirstName' format into separate 'LastName' and 'FirstName' columns within a Mapping Data Flow. On the Microsoft Azure Data Engineer Associate DP-203 exam, this question tests your ability to distinguish between data flow transformations for row-level string manipulation versus those for reshaping or joining data—a common trap is confusing Derived Column with the Pivot or Aggregate transformations, which handle grouping or pivoting, not splitting. Remember the memory tip: "Derived is for derived fields; split your strings here, not in a pivot or aggregate."
This DP-203 practice question tests your understanding of develop data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are tasked with transforming data in an Azure Synapse Analytics pipeline using a mapping data flow. The source data contains a column 'FullName' in the format 'LastName, FirstName'. You need to split this into two separate columns: 'LastName' and 'FirstName'. Which transformation should you use?
Pivot transformation
Why wrong: Pivot rotates data, not splits columns.
Aggregate transformation
Why wrong: Aggregate is for grouping and aggregations.
Lookup transformation
Why wrong: Lookup joins data from another source.
Derived Column transformation
Derived column can use expressions to split strings.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Derived Column transformation
Option B is correct because the Derived Column transformation allows you to create new columns using expressions, including string functions like split(). Option A is wrong because Aggregate is for grouping and aggregations, not string manipulation. Option C is wrong because Pivot rotates data from rows to columns. Option D is wrong because Lookup is for joining data from another source.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Pivot transformation
Why it's wrong here
Pivot rotates data, not splits columns.
Aggregate transformation
Why it's wrong here
Aggregate is for grouping and aggregations.
Lookup transformation
Why it's wrong here
Lookup joins data from another source.
Derived Column transformation
Why this is correct
Derived column can use expressions to split strings.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
The correct answer is: Derived Column transformation — Option B is correct because the Derived Column transformation allows you to create new columns using expressions, including string functions like split(). Option A is wrong because Aggregate is for grouping and aggregations, not string manipulation. Option C is wrong because Pivot rotates data from rows to columns. Option D is wrong because Lookup is for joining data from another source.
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 2026
This DP-203 practice question is part of Courseiva's free Microsoft 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 DP-203 exam.
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