Question 292 of 846
Develop data processingmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is to increase the dedicated SQL pool’s DWU from DW500c to a higher tier like DW1000c. This resolves the out of memory error during the staging step because the DWU setting directly controls the memory and compute resources allocated to the pool; a 500 GB load exceeds the memory ceiling at DW500c, causing the staging process to fail. On the DP-203 exam, this scenario tests your understanding of resource scaling in Synapse dedicated SQL pools, often appearing as a distractor where candidates might incorrectly suggest splitting the data or changing the distribution type. A common trap is to overcomplicate the fix—remember that scaling up DWU is the simplest solution when pipeline logic must remain unchanged. Memory tip: think “DWU = Data Warehouse Units = Memory Units,” so when memory runs out, you simply add more units.

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.

Your organization uses Azure Synapse Analytics to run large-scale ETL jobs. A pipeline that loads data from Azure Data Lake Storage Gen2 into a dedicated SQL pool is failing with 'Out of memory' errors during the staging step. The source data is 500 GB in size, and the SQL pool is currently set to DW500c. What should you do to resolve the issue without changing the pipeline logic?

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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 DWU of the dedicated SQL pool to a higher tier (e.g., DW1000c).

The 'Out of memory' error during the staging step indicates that the dedicated SQL pool lacks sufficient memory resources to handle the 500 GB data load within the current DWU setting. Increasing the DWU (Data Warehouse Units) from DW500c to a higher tier, such as DW1000c, scales up the memory and compute resources available to the pool, resolving the memory pressure without altering the pipeline logic or source data.

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 PolyBase instead of the Copy activity.

    Why it's wrong here

    PolyBase may also cause OOM if memory is insufficient.

  • Switch the source to Azure Data Lake Storage Gen1.

    Why it's wrong here

    Gen1 is legacy and does not resolve memory issues.

  • Increase the DWU of the dedicated SQL pool to a higher tier (e.g., DW1000c).

    Why this is correct

    Higher DWU provides more memory per distribution, resolving OOM errors.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Partition the source data into smaller files.

    Why it's wrong here

    Partitioning does not increase memory available to the staging step.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may assume partitioning the source data is a 'logical' fix without realizing it requires pipeline logic changes, or they may confuse PolyBase as a memory-saving alternative rather than a loading protocol that still relies on the pool's resources.

Detailed technical explanation

How to think about this question

Dedicated SQL pool in Azure Synapse distributes data across 60 distributions, and the DWU setting determines the memory per distribution (e.g., DW500c provides ~10 GB per distribution for staging). A 500 GB load can exceed this memory when staging intermediate results, especially with large row sizes or skewed data. Increasing DWU scales memory linearly, allowing the staging step to accommodate the full dataset without spilling to disk or failing.

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.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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 DWU of the dedicated SQL pool to a higher tier (e.g., DW1000c). — The 'Out of memory' error during the staging step indicates that the dedicated SQL pool lacks sufficient memory resources to handle the 500 GB data load within the current DWU setting. Increasing the DWU (Data Warehouse Units) from DW500c to a higher tier, such as DW1000c, scales up the memory and compute resources available to the pool, resolving the memory pressure without altering the pipeline logic or source data.

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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Last reviewed: Jun 24, 2026

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