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 are developing a data processing pipeline in Azure Data Factory. The pipeline must copy data from an on-premises SQL Server to Azure Blob Storage. The data volumes are large, and the network connection is unreliable. Which configuration should you use to ensure resilience and resume capability?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure the copy activity with fault tolerance and enable 'Skip incompatible rows'. Use a self-hosted integration runtime for the source.
Option B is correct because using a self-hosted integration runtime enables connectivity to on-premises SQL Server, and enabling fault tolerance with 'Skip incompatible rows' allows the copy activity to continue despite transient failures or data inconsistencies. This configuration ensures resilience by automatically retrying failed operations and skipping rows that cause errors, which is critical for large data volumes over an unreliable network.
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 staging copy with Azure Blob Storage as an intermediate store.
Why it's wrong here
Staging adds overhead but does not inherently provide resume capability.
✓
Configure the copy activity with fault tolerance and enable 'Skip incompatible rows'. Use a self-hosted integration runtime for the source.
Why this is correct
Fault tolerance allows the copy to continue despite errors, and self-hosted IR supports checkpointing for resume.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the 'parallelCopies' setting to 10 and use a staging table.
Why it's wrong here
Parallel copies improve throughput but do not provide resume capability.
✗
Use PolyBase to load data directly into Azure Synapse Analytics.
Why it's wrong here
PolyBase is not applicable for Azure Blob Storage as a sink.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the misconception that staging or parallelization alone provides resilience, but the key is that fault tolerance with row-level skipping is the only option that directly handles data errors and network interruptions without failing the entire copy.
Detailed technical explanation
How to think about this question
Under the hood, the self-hosted integration runtime uses a Windows service that communicates with Azure Data Factory over HTTPS, and the copy activity's fault tolerance mechanism works by catching errors at the row level (e.g., type mismatches, constraint violations) and skipping those rows while logging them. In a real-world scenario with an unreliable network, the copy activity automatically retries up to the default maximum of 3 times (configurable via 'retry' policy), and the 'Skip incompatible rows' setting ensures that a single corrupt or malformed row does not abort the entire pipeline, which is especially important for large datasets where manual restart would be costly.
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: Configure the copy activity with fault tolerance and enable 'Skip incompatible rows'. Use a self-hosted integration runtime for the source. — Option B is correct because using a self-hosted integration runtime enables connectivity to on-premises SQL Server, and enabling fault tolerance with 'Skip incompatible rows' allows the copy activity to continue despite transient failures or data inconsistencies. This configuration ensures resilience by automatically retrying failed operations and skipping rows that cause errors, which is critical for large data volumes over an unreliable network.
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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