The correct answer is to use `CREATE PARTITION FUNCTION myDateRange (datetime2) AS RANGE RIGHT FOR VALUES ('2023-01-01', '2023-02-01', ...)`. This is the standard approach for date partitioning because `RANGE RIGHT` assigns each boundary value to the right partition, meaning values less than '2023-01-01' fall into the first partition, values from '2023-01-01' up to but not including '2023-02-01' go into the second, and so on. This aligns perfectly with typical date range queries and simplifies partition management tasks like switching out old partitions. On the DP-203 exam, this concept tests your understanding of how partition functions map data to partitions, and a common trap is choosing `RANGE LEFT`, which would place boundary dates into the left partition, breaking the logical date order and complicating maintenance. Remember the memory tip: "RIGHT is RIGHT for dates" — boundary dates always belong to the partition on the right, keeping your date ranges clean and contiguous.
DP-203 Partition table by date in Azure SQL 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 need to partition a large Azure SQL Database table by date to improve query performance and manageability. Which partitioning strategy should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
CREATE PARTITION FUNCTION myDateRange (datetime2) AS RANGE RIGHT FOR VALUES ('2023-01-01', '2023-02-01', ...)
Option A is correct because `RANGE RIGHT` ensures that each boundary value belongs to the right partition, which is the standard approach for date-based partitioning. This means values less than '2023-01-01' go into the first partition, values >= '2023-01-01' and < '2023-02-01' go into the second, and so on, aligning with typical date range queries and simplifying partition management (e.g., switching out old partitions).
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.
✗
CREATE PARTITION FUNCTION myDateRange (datetime2) AS RANGE LEFT FOR VALUES ('2023-01-01', '2023-02-01', ...)
Why it's wrong here
RANGE LEFT includes the boundary value in the left partition, which can lead to uneven data distribution.
✗
Use Azure SQL Database automatic partitioning feature
Why it's wrong here
Azure SQL Database does not have automatic partitioning; you must create it manually.
✗
Apply a clustered columnstore index with partitioning
Why it's wrong here
Columnstore indexes are for analytics, not the primary partitioning mechanism.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The DP-203 exam frequently reuses these exact scenarios with slightly different constraints.
✓CREATE PARTITION FUNCTION myDateRange (datetime2) AS RANGE RIGHT FOR VALUES ('2023-01-01', '2023-02-01', ...)Correct answer▾✗CREATE PARTITION FUNCTION myDateRange (datetime2) AS RANGE LEFT FOR VALUES ('2023-01-01', '2023-02-01', ...)Wrong answer — click to see why▾
Why this is wrong here
RANGE LEFT includes the boundary value in the left partition, which can lead to uneven data distribution.
✗Use Azure SQL Database automatic partitioning featureWrong answer — click to see why▾
Why this is wrong here
Azure SQL Database does not have automatic partitioning; you must create it manually.
✗Apply a clustered columnstore index with partitioningWrong answer — click to see why▾
Why this is wrong here
Columnstore indexes are for analytics, not the primary partitioning mechanism.
Analysis generated from the official DP-203blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse `RANGE LEFT` and `RANGE RIGHT`, mistakenly thinking `LEFT` is the default or more natural for date ranges, when in fact `RANGE RIGHT` is the standard for non-overlapping, sliding-window date partitions.
Detailed technical explanation
How to think about this question
Under the hood, SQL Server (and Azure SQL Database) uses partition functions to map rows to partitions based on a partitioning column. `RANGE RIGHT` is preferred for date ranges because it aligns with the common pattern of sliding window partitions, where you can easily `SWITCH` out the oldest partition (e.g., for archiving) without data movement. A subtle behavior: with `RANGE RIGHT`, the boundary value itself is the lower bound of the next partition, so `SWITCH` operations on the leftmost partition are cleaner.
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.
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: CREATE PARTITION FUNCTION myDateRange (datetime2) AS RANGE RIGHT FOR VALUES ('2023-01-01', '2023-02-01', ...) — Option A is correct because `RANGE RIGHT` ensures that each boundary value belongs to the right partition, which is the standard approach for date-based partitioning. This means values less than '2023-01-01' go into the first partition, values >= '2023-01-01' and < '2023-02-01' go into the second, and so on, aligning with typical date range queries and simplifying partition management (e.g., switching out old partitions).
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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