- A
Reduce the degree of copy parallelism in the copy activity.
Why wrong: Reducing parallelism may make the copy slower.
- B
Enable staged copy using Azure Blob Storage as an interim store.
Why wrong: Staged copy adds overhead and does not directly address timeout.
- C
Scale up the Azure SQL Database to a higher DTU tier.
Why wrong: Scaling up is an option but may be overkill; better to optimize the copy.
- D
Increase the writeBatchSize in the sink settings to reduce the number of batch inserts.
Larger batch size reduces the number of round trips and can prevent timeout.
Quick Answer
The answer is to increase the writeBatchSize in the sink settings. This is the most effective fix because a larger batch size reduces the number of round trips between Azure Data Factory and Azure SQL Database, allowing the copy activity to commit more rows per transaction and complete within the timeout window. On the DP-203 exam, this scenario tests your understanding of sink performance tuning for Azure SQL Database, often appearing as a trap where candidates mistakenly choose to scale DTUs or reduce parallelism—both of which are less targeted solutions. The key insight is that a General Purpose tier with 100 DTUs can handle larger batches efficiently, so adjusting writeBatchSize directly addresses the timeout without incurring extra cost or complexity. Memory tip: think "bigger batches, fewer trips"—the batch size controls the number of insert statements, not the data volume, so increasing it speeds up writes by minimizing network overhead.
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 batch size reduces the number of round trips, which can speed up the write operation and reduce timeout risk. Option A is wrong because reducing parallelism might increase duration. Option B is wrong because increasing DTUs helps but is more costly and may not be necessary. Option C is wrong because using a staging blob could add overhead and still timeout.
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 parallelism may make the copy slower.
- ✗
Enable staged copy using Azure Blob Storage as an interim store.
Why it's wrong here
Staged copy adds overhead and does not directly address timeout.
- ✗
Scale up the Azure SQL Database to a higher DTU tier.
Why it's wrong here
Scaling up is an option but may be overkill; better to optimize the copy.
- ✓
Increase the writeBatchSize in the sink settings to reduce the number of batch inserts.
Why this is correct
Larger batch size reduces the number of round trips and can prevent timeout.
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.
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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Develop data processing — study guide chapter
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Develop data processing practice questions
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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 batch size reduces the number of round trips, which can speed up the write operation and reduce timeout risk. Option A is wrong because reducing parallelism might increase duration. Option B is wrong because increasing DTUs helps but is more costly and may not be necessary. Option C is wrong because using a staging blob could add overhead and still timeout.
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
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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