Quick Answer
The answer is the Notebook activity configured to use a Python kernel. This is the correct choice because a Notebook activity in Azure Synapse Analytics natively supports Python execution, allowing you to run a Python script directly within the pipeline before the Data Flow activity. The key technical concept here is that Synapse pipelines orchestrate activities sequentially, and the Notebook activity can be set to a Python kernel to execute arbitrary Python code, while a Data Flow activity handles transformations at scale. On the DP-203 exam, this scenario tests your understanding of pipeline orchestration activities—specifically, that a Notebook activity is the only native way to run custom Python code before a Data Flow, as opposed to a Stored Procedure or Web activity, which do not support Python kernels. A common trap is choosing a Python Script activity, which does not exist in Synapse pipelines; instead, remember that “Notebook” is the container for Python execution. Memory tip: “Notebook before Data Flow—Python’s the go.”
This DP-203 practice question tests your understanding of develop data processing. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 need to orchestrate a data pipeline that includes a Python script and a Data Flow in Azure Synapse Analytics. The Python script must run before the Data Flow. Which activity should you use to run the Python script?
Notebook activity configured to use a Python kernel
A Notebook activity can run Python code in Synapse Spark notebooks.
Web activity
Why wrong: Web activity makes HTTP requests, not for running Python scripts.
Stored Procedure activity
Why wrong: Stored Procedure activity runs SQL stored procedures, not Python.
HDInsight Hive activity
Why wrong: HDInsight Hive activity runs Hive queries, not Python.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Notebook activity configured to use a Python kernel
A Notebook activity in Azure Synapse Analytics can be configured to use a Python kernel, allowing you to run a Python script directly within the pipeline. This is the correct choice because the requirement is to execute a Python script before a Data Flow, and the Notebook activity supports Python execution natively in Synapse pipelines.
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.
Notebook activity configured to use a Python kernel
Why this is correct
A Notebook activity can run Python code in Synapse Spark notebooks.
Related concept
Read the scenario before looking for a memorised answer.
Web activity
Why it's wrong here
Web activity makes HTTP requests, not for running Python scripts.
Stored Procedure activity
Why it's wrong here
Stored Procedure activity runs SQL stored procedures, not Python.
HDInsight Hive activity
Why it's wrong here
HDInsight Hive activity runs Hive queries, not Python.
Common exam traps
The trap here is that candidates may confuse a Notebook activity with a Web activity or a Stored Procedure activity, thinking they can execute arbitrary code, but only the Notebook activity supports Python execution natively in Synapse pipelines.
Detailed technical explanation
The Notebook activity in Azure Synapse pipelines leverages Apache Spark pools or serverless Spark compute, and when configured with a Python kernel, it executes Python code in a Jupyter notebook environment. This is particularly useful for complex data transformations or machine learning preprocessing that must run before a Data Flow, ensuring sequential execution via pipeline dependencies. Under the hood, the Notebook activity submits a Spark job to the Synapse Spark runtime, and the pipeline waits for its completion before triggering the next activity.
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.
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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: Notebook activity configured to use a Python kernel — A Notebook activity in Azure Synapse Analytics can be configured to use a Python kernel, allowing you to run a Python script directly within the pipeline. This is the correct choice because the requirement is to execute a Python script before a Data Flow, and the Notebook activity supports Python execution natively in Synapse pipelines.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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