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.
Network Topology
Refer to the exhibit. You submit a Spark job in Azure Synapse Analytics using the Azure CLI. The job runs slowly during the shuffle phase. The input data is about 200 GB. Which configuration change would best improve performance for this shuffle-heavy workload?
Network Topology
A
Increase the number of executors to 4.
Why wrong: More executors help, but partition count is the primary issue for shuffle.
B
Change executor size to 'Large' to increase memory per executor.
Why wrong: Memory might help but shuffle performance is more affected by partition count.
C
Increase spark.sql.shuffle.partitions to 800.
More partitions reduce the size of each partition, speeding up shuffle.
D
Decrease spark.sql.shuffle.partitions to 200 to reduce overhead.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase spark.sql.shuffle.partitions to 800.
Increasing spark.sql.shuffle.partitions to 800 improves parallelism for a 200 GB shuffle-heavy workload, reducing partition sizes and shuffle time. Option A is incorrect because executor count alone does not directly address shuffle partitioning. Option B may help but is less impactful than partition tuning. Option D would worsen the problem by making partitions larger.
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.
✗
Increase the number of executors to 4.
Why it's wrong here
More executors help, but partition count is the primary issue for shuffle.
✗
Change executor size to 'Large' to increase memory per executor.
Why it's wrong here
Memory might help but shuffle performance is more affected by partition count.
✓
Increase spark.sql.shuffle.partitions to 800.
Why this is correct
More partitions reduce the size of each partition, speeding up shuffle.
Related concept
Read the scenario before looking for a memorised answer.
✗
Decrease spark.sql.shuffle.partitions to 200 to reduce overhead.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
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.
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 spark.sql.shuffle.partitions to 800. — Increasing spark.sql.shuffle.partitions to 800 improves parallelism for a 200 GB shuffle-heavy workload, reducing partition sizes and shuffle time. Option A is incorrect because executor count alone does not directly address shuffle partitioning. Option B may help but is less impactful than partition tuning. Option D would worsen the problem by making partitions larger.
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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Question Discussion
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