Question 598 of 846
Develop data processingmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is ROUND_ROBIN distribution for mixed workloads in a dedicated SQL pool. This is correct because ROUND_ROBIN distributes data evenly across all distributions without relying on a hash key, making it ideal for tables used in both point-of-sale lookups and large aggregation queries—since no single distribution key can optimize both patterns simultaneously. It avoids data skew and enables parallel processing for aggregations, while efficient lookups are still possible when combined with appropriate indexes like a clustered columnstore index. On the Microsoft Azure Data Engineer Associate DP-203 exam, this scenario tests your understanding of how distribution strategies affect query performance under mixed workloads; a common trap is choosing HASH distribution for lookups alone, which can cause skew or poor aggregation performance. Remember the memory tip: “Round Robin for mixed, no key to fix—balanced for both, no skew tricks.”

DP-203 Develop data processing Practice Question

This DP-203 practice question tests your understanding of develop data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 building a data processing solution in Azure Synapse Analytics. The solution requires creating a table that stores sales transactions. The table will be used for both point-of-sale lookups and large aggregation queries. The data is not updated frequently. Which table distribution should you recommend?

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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

ROUND_ROBIN

ROUND_ROBIN is the correct choice because the table is used for both point-of-sale lookups (single-row queries) and large aggregation queries, and the data is not updated frequently. ROUND_ROBIN distributes data evenly across all distributions without a hash key, which provides the best overall performance for mixed workloads where no single distribution key optimizes both lookup and aggregation patterns. It avoids data skew and allows parallel processing for aggregations while still supporting efficient lookups when combined with appropriate indexes.

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.

  • ROUND_ROBIN

    Why this is correct

    ROUND_ROBIN evenly distributes data and works well for mixed workloads.

    Related concept

    Read the scenario before looking for a memorised answer.

  • HASH on TransactionID

    Why it's wrong here

    TransactionID may be unique but could cause skew if not evenly distributed.

  • HASH on SalesDate

    Why it's wrong here

    SalesDate may cause hot spots if many transactions occur on the same date.

  • REPLICATE

    Why it's wrong here

    REPLICATE is for small tables, not large fact tables.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose HASH distribution thinking it always improves query performance, but they overlook that without a clear join or grouping column that matches the hash key, HASH can cause data skew and actually degrade mixed workload performance compared to ROUND_ROBIN.

Detailed technical explanation

How to think about this question

In Azure Synapse dedicated SQL pools, ROUND_ROBIN is the default distribution when no distribution key is specified, and it ensures that data is spread evenly across all 60 distributions using a round-robin algorithm. For point-of-sale lookups, you can complement ROUND_ROBIN with a clustered index (e.g., on TransactionID) to enable fast single-row retrieval, while large aggregations benefit from full parallel scans across all distributions. A real-world scenario is a retail system where sales data is ingested in real-time and queried both for individual receipts and daily revenue reports—ROUND_ROBIN avoids the performance pitfalls of skewed hash distributions.

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 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.

What to study next

Got this wrong? Here's your next step.

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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: ROUND_ROBIN — ROUND_ROBIN is the correct choice because the table is used for both point-of-sale lookups (single-row queries) and large aggregation queries, and the data is not updated frequently. ROUND_ROBIN distributes data evenly across all distributions without a hash key, which provides the best overall performance for mixed workloads where no single distribution key optimizes both lookup and aggregation patterns. It avoids data skew and allows parallel processing for aggregations while still supporting efficient lookups when combined with appropriate indexes.

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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