This DP-203 practice question tests your understanding of design and implement data storage. 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.
Your team is migrating an on-premises SQL Server data warehouse to Azure Synapse Analytics. The source has a fact table with 500 million rows and several dimension tables. You need to choose the best distribution strategy for the fact table to minimize data movement during joins. Which distribution type should you use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Hash distribution on the foreign key column used in joins
Hash distribution on the join key ensures rows with the same key are on the same distribution.
No distribution (single distribution)
Why wrong: Single distribution would not scale.
Replicated distribution
Why wrong: Replicated is only for small dimension tables, not large fact tables.
Round-robin distribution
Why wrong: Round-robin does not collocate data, causing data movement.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Hash distribution on the foreign key column used in joins
Hash distribution on the foreign key column used in joins ensures that rows with the same join key are co-located on the same distribution node. This minimizes data movement because the join can be performed locally on each node without shuffling data across the compute nodes, which is critical for a 500-million-row fact table.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Hash distribution on the foreign key column used in joins
Why this is correct
Hash distribution on the join key ensures rows with the same key are on the same distribution.
Clue confirmation
The clue words "best", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
No distribution (single distribution)
Why it's wrong here
Single distribution would not scale.
Replicated distribution
Why it's wrong here
Replicated is only for small dimension tables, not large fact tables.
Round-robin distribution
Why it's wrong here
Round-robin does not collocate data, causing data movement.
Common exam traps
The trap here is that candidates often confuse replicated distribution as a general performance booster, but they fail to recognize that replicating a large fact table is impractical and that hash distribution on the join key is the correct strategy to minimize data movement for large fact tables.
Detailed technical explanation
Hash distribution uses a hash function (e.g., BINARY_CHECKSUM) on the distribution column to deterministically assign rows to one of 60 distributions in Azure Synapse. During a hash join, if both tables are distributed on the same join key, the join is processed locally on each distribution node, eliminating the need for data movement. In real-world scenarios, choosing the wrong distribution column (e.g., a low-cardinality column) can cause data skew, where some distributions hold far more rows than others, degrading performance.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
The correct answer is: Hash distribution on the foreign key column used in joins — Hash distribution on the foreign key column used in joins ensures that rows with the same join key are co-located on the same distribution node. This minimizes data movement because the join can be performed locally on each node without shuffling data across the compute nodes, which is critical for a 500-million-row fact table.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best", "minimum / minimize". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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