The correct choice is hash distribution on the date column. This strategy works by applying a hash function to the date value, which distributes rows evenly across all distributions while ensuring that rows with the same date—or adjacent dates in a range—land on the same distribution. For date-range queries, this minimizes data movement because the dedicated SQL pool can perform partition elimination and collocated joins directly on the relevant distributions, dramatically improving query performance. On the DP-203 exam, this scenario tests your understanding of how distribution choices impact query patterns; a common trap is selecting round-robin (which scatters data randomly, causing heavy data shuffling for range scans) or replicating the table (impractical for 500 million rows). Remember the memory tip: “Hash the date, keep the range straight”—hash distribution aligns date-range filters with physical data locality, making it the optimal choice for large fact tables queried by time windows.
DP-203 Design and implement data storage Practice Question
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.
You are migrating an on-premises SQL Server database to Azure Synapse Analytics dedicated SQL pool. The database includes a table with 500 million rows that is frequently queried by date range. Which distribution strategy should you use for this table?
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 date column.
Hash distribution on the date column is correct because it distributes rows evenly across distributions based on a hash of the date value, enabling partition elimination and collocated joins when queries filter by date range. This strategy optimizes performance for the frequent date-range queries by ensuring that data for a specific date range is likely stored on the same distribution, minimizing data movement.
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.
✓
Hash distribution on the date column.
Why this is correct
Hash distribution on the date column allows partition elimination and efficient querying by date range.
Related concept
Read the scenario before looking for a memorised answer.
✗
Hash distribution on an identity column.
Why it's wrong here
Hash on identity column distributes evenly but does not help date range queries.
✗
Replicated distribution.
Why it's wrong here
Replicated tables are for small tables; 500 million rows is too large.
✗
Round-robin distribution.
Why it's wrong here
Round-robin leads to data shuffling on queries, impacting performance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose round-robin distribution for large tables thinking it is simple and balanced, but they overlook that frequent date-range queries require data collocation and partition elimination, which only hash distribution on the query filter column can provide.
Detailed technical explanation
How to think about this question
In Azure Synapse dedicated SQL pool, hash distribution uses a deterministic hash function (e.g., BINARY_CHECKSUM) on the distribution column to assign rows to one of 60 distributions. For date-range queries, hash distribution on the date column allows the query optimizer to prune distributions that do not contain the requested date range, reducing the number of distributions scanned. However, if the date column has low cardinality (e.g., only a few distinct dates), hash distribution may cause data skew, so consider using a composite key or date-based partitioning alongside hash distribution.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Hash distribution on the date column. — Hash distribution on the date column is correct because it distributes rows evenly across distributions based on a hash of the date value, enabling partition elimination and collocated joins when queries filter by date range. This strategy optimizes performance for the frequent date-range queries by ensuring that data for a specific date range is likely stored on the same distribution, minimizing data movement.
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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Question Discussion
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