- A
Use a 'Validation' activity before the copy to check source availability
Why wrong: Does not handle transient errors during copy.
- B
Create a custom .NET activity to handle retries
Why wrong: Overly complex; built-in retry is sufficient.
- C
Add a 'Until' loop with a wait activity in the pipeline
Why wrong: Possible but less efficient than built-in retry.
- D
Configure the 'Retry' property on the copy activity with a count and exponential backoff interval
Built-in retry with exponential backoff.
Quick Answer
The answer is to configure the 'Retry' property on the copy activity with a count and exponential backoff interval. This is correct because Azure Data Factory’s native retry policy automatically handles transient errors by doubling the wait time between each attempt, reducing load on the source system while maximizing recovery chances. On the Microsoft Azure Data Engineer Associate DP-203 exam, this question tests your understanding of built-in activity settings versus custom logic—a common trap is overcomplicating the solution with external triggers or Azure Functions when the platform already provides the mechanism. Remember the memory tip: “Retry with backoff, not a hack-off”—the simplest, most efficient path is always the native configuration.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. 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.
A data engineering team uses Azure Data Factory to load data from Azure SQL Database to Azure Data Lake Storage Gen2. They notice that the pipeline runs fail intermittently due to transient errors. They need to implement a retry policy with exponential backoff. What is the most efficient way to achieve this?
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
Configure the 'Retry' property on the copy activity with a count and exponential backoff interval
Option D is correct because Azure Data Factory natively supports configuring a 'Retry' property on activities, including Copy activities, with an exponential backoff interval. This built-in mechanism automatically retries the activity upon transient failures without requiring custom logic, making it the most efficient and maintainable approach for handling intermittent errors.
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.
- ✗
Use a 'Validation' activity before the copy to check source availability
Why it's wrong here
Does not handle transient errors during copy.
- ✗
Create a custom .NET activity to handle retries
Why it's wrong here
Overly complex; built-in retry is sufficient.
- ✗
Add a 'Until' loop with a wait activity in the pipeline
Why it's wrong here
Possible but less efficient than built-in retry.
- ✓
Configure the 'Retry' property on the copy activity with a count and exponential backoff interval
Why this is correct
Built-in retry with exponential backoff.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may overcomplicate the solution by choosing a custom loop or validation activity, overlooking that Azure Data Factory's native 'Retry' property with exponential backoff is the simplest and most efficient built-in mechanism for handling transient errors.
Detailed technical explanation
How to think about this question
The 'Retry' property in Azure Data Factory allows you to set a retry count (e.g., 3) and an exponential backoff interval (e.g., 60 seconds), meaning the wait time doubles after each retry (60s, 120s, 240s). This aligns with best practices for handling transient faults in cloud services, such as throttling or network blips, and avoids overloading the source or sink with immediate retries. Under the hood, ADF uses the Azure SDK's built-in retry policies, which respect service-level throttling responses (HTTP 429) and other transient error codes.
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.
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Design and implement data storage — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure the 'Retry' property on the copy activity with a count and exponential backoff interval — Option D is correct because Azure Data Factory natively supports configuring a 'Retry' property on activities, including Copy activities, with an exponential backoff interval. This built-in mechanism automatically retries the activity upon transient failures without requiring custom logic, making it the most efficient and maintainable approach for handling intermittent errors.
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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