- C
Assign
Why wrong: No such activity in ADF; the correct term is 'Set Variable'.
- D
Execute Pipeline
Why wrong: This is a valid activity but the question asks for two, and the first two are more common.
Quick Answer
The answer is Databricks Notebook and Copy Data. These are valid Azure Data Factory pipeline activities because ADF supports a broad set of activities categorized into data movement, transformation, and control flow—Copy Data handles ingestion from over 100 connectors, while Databricks Notebook executes Apache Spark code for advanced transformations. On the DP-203 exam, this tests your ability to distinguish between native ADF activities (like Copy, Data Flow, and Notebook) and external services that are invoked via linked services but are not themselves pipeline activities. A common trap is confusing a linked service (e.g., Azure SQL Database) with an activity, or mistaking a trigger (like a schedule) for a pipeline activity. Remember the mnemonic “CAND” for core activity types: Copy, Azure Function, Notebook, and Data Flow—if it doesn’t fit one of these, it’s likely a linked service or trigger, not a valid activity.
DP-203 Valid ADF pipeline activities Practice Question
This DP-203 practice question tests your understanding of design and 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.
Which of the following are valid activities in an Azure Data Factory pipeline? (Choose two.)
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
Copy
A is correct because the Copy activity is a fundamental data movement activity in Azure Data Factory (ADF) that allows you to ingest data from a wide range of supported source stores (e.g., Azure Blob Storage, SQL Server) to sink stores (e.g., Azure Synapse Analytics, Azure Data Lake Storage). It uses the underlying integration runtime to perform the actual data transfer, supporting both built-in connectors and self-hosted runtimes for on-premises sources. This makes it a core, valid activity for building ETL/ELT pipelines.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Assign
Why it's wrong here
No such activity in ADF; the correct term is 'Set Variable'.
- ✗
Execute Pipeline
Why it's wrong here
This is a valid activity but the question asks for two, and the first two are more common.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The DP-203 exam frequently reuses these exact scenarios with slightly different constraints.
✓CopyCorrect answer▾
✗AssignWrong answer — click to see why▾
Why this is wrong here
No such activity in ADF; the correct term is 'Set Variable'.
✗Execute PipelineWrong answer — click to see why▾
Why this is wrong here
This is a valid activity but the question asks for two, and the first two are more common.
Analysis generated from the official DP-203blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse the 'Execute Pipeline Activity' (a valid control flow activity) with the incomplete 'Execute Pipeline' option, or mistakenly think 'Assign' is a real activity due to its similarity to variable assignment in programming languages, when in fact ADF uses 'Set Variable' for that purpose.
Detailed technical explanation
How to think about this question
Under the hood, the Copy activity leverages the ADF integration runtime to handle data movement, with support for parallel copying, staging via Blob Storage, and fault tolerance for large datasets. A real-world scenario involves using the Copy activity to migrate terabytes of historical data from an on-premises SQL Server to Azure Synapse, where the self-hosted integration runtime manages connectivity and throttling. The Databricks Notebook activity, on the other hand, submits a notebook job to an Azure Databricks cluster, enabling advanced transformations using Apache Spark, which is critical for complex data processing that goes beyond simple copy operations.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Design and develop data processing — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and develop data processing — This question tests Design and develop data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Copy — A is correct because the Copy activity is a fundamental data movement activity in Azure Data Factory (ADF) that allows you to ingest data from a wide range of supported source stores (e.g., Azure Blob Storage, SQL Server) to sink stores (e.g., Azure Synapse Analytics, Azure Data Lake Storage). It uses the underlying integration runtime to perform the actual data transfer, supporting both built-in connectors and self-hosted runtimes for on-premises sources. This makes it a core, valid activity for building ETL/ELT pipelines.
What should I do if I get this DP-203 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 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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