The correct configuration is to enable fault tolerance and configure skip incompatible rows within the Copy activity. This works because when a row causes a type conversion or schema mismatch error, the activity would normally retry that row repeatedly, eventually timing out and failing the entire pipeline. By enabling fault tolerance, the Copy activity continues processing subsequent rows while logging the problematic ones, and the skip incompatible rows setting tells it to ignore those specific rows rather than halting. On the DP-203 exam, this scenario tests your understanding of how to handle semi-structured or dirty data during bulk transfers, often appearing as a distractor alongside options like increasing the Data Integration Unit (DIU) or changing the staging setting. A common trap is to assume more resources solve timeouts, but the root cause is often a few bad rows. Remember the memory tip: “Skip the bad apples to keep the pipeline running”—fault tolerance lets the good data through while logging the errors for later review.
DP-203 Develop data processing Practice Question
This DP-203 practice question tests your understanding of develop data processing. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 have an Azure Data Factory pipeline that uses a Copy activity to move data from an on-premises SQL Server to Azure Blob Storage. The pipeline fails intermittently with a timeout error. You need to improve the reliability of the data transfer. Which configuration change should you make?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable fault tolerance and configure skip incompatible rows.
Option C is correct because enabling fault tolerance and configuring 'skip incompatible rows' allows the Copy activity to continue processing even when some rows cause errors (e.g., type conversion failures), which can manifest as timeouts when the activity repeatedly retries the same problematic rows. This setting improves reliability by skipping rows that cannot be copied, preventing the entire pipeline from failing on intermittent data issues.
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 staged copy with an intermediate Azure Blob Storage.
Why it's wrong here
Staged copy is for large data volumes and network efficiency, not for error handling.
✗
Use PolyBase as the sink.
Why it's wrong here
PolyBase is not applicable for copying to Blob Storage.
✓
Enable fault tolerance and configure skip incompatible rows.
Why this is correct
This allows the copy to continue even if some rows fail, improving reliability.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the retry count in the pipeline activity.
Why it's wrong here
Retry may help transient failures but does not address incompatible data errors.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'fault tolerance' with 'retry policy,' assuming that increasing retries is the only way to handle failures, whereas fault tolerance addresses row-level errors that cause timeouts without requiring a full activity restart.
Detailed technical explanation
How to think about this question
Under the hood, the Copy activity's fault tolerance mechanism works by tracking row-level errors during data movement; when 'skip incompatible rows' is enabled, the activity logs the skipped rows and continues with the next batch, using a configurable threshold to avoid infinite loops. In real-world scenarios, this is critical when source data contains unexpected NULLs, data type mismatches, or string truncation issues that cause the sink to reject rows, which can trigger timeouts if the activity repeatedly retries the same batch. The timeout error often stems from the default 7-day timeout for Copy activity, but row-level failures can cause the activity to hang on a single batch, making fault tolerance a more targeted fix than simple retries.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable fault tolerance and configure skip incompatible rows. — Option C is correct because enabling fault tolerance and configuring 'skip incompatible rows' allows the Copy activity to continue processing even when some rows cause errors (e.g., type conversion failures), which can manifest as timeouts when the activity repeatedly retries the same problematic rows. This setting improves reliability by skipping rows that cannot be copied, preventing the entire pipeline from failing on intermittent data issues.
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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Question Discussion
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