- A
Create a nonclustered index on (OrderDate, CustomerID)
This covers both the filter (OrderDate) and the sort order (CustomerID), enabling index seek and avoiding a sort operation.
- B
Create a nonclustered index on (CustomerID, OrderDate)
Why wrong: The leading column (CustomerID) does not help filter by OrderDate, so the query cannot perform a seek on OrderDate; it would scan or require sorting.
- C
Change the clustered index to (OrderDate)
Why wrong: Altering the clustered index could slow down inserts and queries that rely on OrderID; indexing strategy should not negatively impact primary key lookups.
- D
Create a filtered index on OrderDate WHERE CustomerID IS NOT NULL
Why wrong: A filtered index is useful for specific subsets, but it still does not provide the sort order needed and may not be used if many queries do not include the filter predicate.
Quick Answer
The answer is to create a nonclustered index on (OrderDate, CustomerID). This strategy most improves performance because it directly supports both the filter and the sort operations: the index’s leading key, OrderDate, enables a precise index seek for the WHERE clause, while the secondary key, CustomerID, provides the data already sorted, eliminating the need for a separate, costly sort step. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your understanding of covering indexes and index key order—a common trap is choosing a single-column index on OrderDate alone, which would still require sorting by CustomerID. Remember the memory tip: “Filter first, then order; put the filter column first in your index key.”
DP-900 Practice Question: Identify considerations for relational data on Azure
This DP-900 practice question tests your understanding of identify considerations for relational data on azure. 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.
A database administrator manages an Azure SQL Database with a table that has a clustered index on OrderID. Frequent queries filter on OrderDate and then sort the results by CustomerID. These queries perform poorly. Which indexing strategy will most improve performance for these specific queries?
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
Create a nonclustered index on (OrderDate, CustomerID)
The query filters on OrderDate and then sorts by CustomerID. A nonclustered index on (OrderDate, CustomerID) supports both the WHERE clause (by OrderDate) and the ORDER BY clause (by CustomerID) as a covering index, allowing the database engine to perform a single index seek or scan without needing a separate sort operation. This directly addresses the performance bottleneck by eliminating the need to sort the results after filtering.
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 a nonclustered index on (OrderDate, CustomerID)
Why this is correct
This covers both the filter (OrderDate) and the sort order (CustomerID), enabling index seek and avoiding a sort operation.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create a nonclustered index on (CustomerID, OrderDate)
Why it's wrong here
The leading column (CustomerID) does not help filter by OrderDate, so the query cannot perform a seek on OrderDate; it would scan or require sorting.
- ✗
Change the clustered index to (OrderDate)
Why it's wrong here
Altering the clustered index could slow down inserts and queries that rely on OrderID; indexing strategy should not negatively impact primary key lookups.
- ✗
Create a filtered index on OrderDate WHERE CustomerID IS NOT NULL
Why it's wrong here
A filtered index is useful for specific subsets, but it still does not provide the sort order needed and may not be used if many queries do not include the filter predicate.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often think a filtered index or changing the clustered index is the best solution, but they overlook that the query requires both filtering and sorting on different columns, and the leading key in a composite index must match the filter column to support both operations efficiently.
Detailed technical explanation
How to think about this question
In SQL Server, a nonclustered index with key columns (OrderDate, CustomerID) creates a B-tree structure where rows are ordered first by OrderDate and then by CustomerID. When the query filters on OrderDate (e.g., WHERE OrderDate = '2023-01-01'), the engine can seek to the exact range in the index, and because the index is already sorted by CustomerID within that range, the ORDER BY CustomerID is satisfied without an additional sort operator in the execution plan. This is a classic covering index scenario that avoids a costly sort operation, which is especially beneficial for large result sets.
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
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FAQ
Questions learners often ask
What does this DP-900 question test?
Identify considerations for relational data on Azure — This question tests Identify considerations for relational data on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a nonclustered index on (OrderDate, CustomerID) — The query filters on OrderDate and then sorts by CustomerID. A nonclustered index on (OrderDate, CustomerID) supports both the WHERE clause (by OrderDate) and the ORDER BY clause (by CustomerID) as a covering index, allowing the database engine to perform a single index seek or scan without needing a separate sort operation. This directly addresses the performance bottleneck by eliminating the need to sort the results after filtering.
What should I do if I get this DP-900 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 11, 2026
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