- A
Reduce the degree of copy parallelism in the copy activity.
Why wrong: Reducing the degree of copy parallelism may increase the duration of the copy operation, potentially worsening the timeout.
- B
Enable staged copy using Azure Blob Storage as an interim store.
Why wrong: Enabling staged copy using Azure Blob Storage as an interim store adds overhead and does not directly address the batch write timeout issue.
- C
Scale up the Azure SQL Database to a higher DTU tier.
Why wrong: Scaling up the Azure SQL Database to a higher DTU tier increases cost and does not directly fix the batch write timeout, which is more efficiently addressed by adjusting write batch size.
- D
Increase the writeBatchSize in the sink settings to reduce the number of batch inserts.
Increasing the writeBatchSize in the sink settings reduces the number of batch inserts, decreasing round trips and helping to prevent timeouts.
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 are monitoring a production data pipeline in Azure Data Factory that runs hourly. You notice that the pipeline has been failing for the last 3 hours due to a timeout error when writing to the sink Azure SQL Database. The database is a General Purpose tier with 100 DTUs. The pipeline writes approximately 1 million rows per run. What is the most effective way to prevent the timeout?
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
Increase the writeBatchSize in the sink settings to reduce the number of batch inserts.
Option D is correct because increasing the writeBatchSize reduces the number of batch inserts, which decreases round trips and can prevent timeouts. Option A is wrong because reducing copy parallelism increases the time taken per run, worsening timeout. Option B is wrong because using a staged copy with Azure Blob Storage adds additional I/O and does not directly address the timeout issue on the sink side. Option C is wrong because scaling up the DTU tier is more costly and may not be the most effective solution if the issue can be resolved by tuning batch size.
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.
- ✗
Reduce the degree of copy parallelism in the copy activity.
Why it's wrong here
Reducing the degree of copy parallelism may increase the duration of the copy operation, potentially worsening the timeout.
- ✗
Enable staged copy using Azure Blob Storage as an interim store.
Why it's wrong here
Enabling staged copy using Azure Blob Storage as an interim store adds overhead and does not directly address the batch write timeout issue.
- ✗
Scale up the Azure SQL Database to a higher DTU tier.
Why it's wrong here
Scaling up the Azure SQL Database to a higher DTU tier increases cost and does not directly fix the batch write timeout, which is more efficiently addressed by adjusting write batch size.
- ✓
Increase the writeBatchSize in the sink settings to reduce the number of batch inserts.
Why this is correct
Increasing the writeBatchSize in the sink settings reduces the number of batch inserts, decreasing round trips and helping to prevent timeouts.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Visual reference
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
What to study next
Got this wrong? Here's your next step.
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this DP-203 question test?
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: Increase the writeBatchSize in the sink settings to reduce the number of batch inserts. — Option D is correct because increasing the writeBatchSize reduces the number of batch inserts, which decreases round trips and can prevent timeouts. Option A is wrong because reducing copy parallelism increases the time taken per run, worsening timeout. Option B is wrong because using a staged copy with Azure Blob Storage adds additional I/O and does not directly address the timeout issue on the sink side. Option C is wrong because scaling up the DTU tier is more costly and may not be the most effective solution if the issue can be resolved by tuning batch size.
What should I do if I get this DP-203 question wrong?
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 2026
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