The answer is implementing read replicas for read-heavy workloads, along with appropriate indexing and partitioning strategies. Read replicas offload read traffic from the primary database, reducing contention and improving overall throughput for read-intensive applications, which is a core tenet of Azure SQL Database performance and scalability best practices. On the AZ-305 exam, this concept tests your ability to design a data platform that meets both performance and high-availability requirements, often appearing in scenario-based questions where you must choose between scaling up, scaling out, or using read-only replicas. A common trap is confusing read replicas with geo-replication for disaster recovery—while both use replicas, the primary purpose here is performance, not failover. For indexing, remember that clustered indexes physically order data, while nonclustered indexes speed up lookups; together they minimize I/O by reducing data page scans. A useful memory tip is “Replicas for reads, indexes for speed, partitions for scale.”
AZ-305 Design data storage solutions Practice Question
This AZ-305 practice question tests your understanding of design data storage solutions. 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.
Which THREE of the following are best practices for designing an Azure SQL Database solution for performance and scalability?
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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use appropriate indexes to optimize query performance
Option A is correct because appropriate indexes, such as clustered and nonclustered indexes, reduce the number of data pages scanned during query execution, directly improving query performance. In Azure SQL Database, index tuning is critical for minimizing I/O and CPU overhead, especially for large tables or complex joins.
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.
✓
Use appropriate indexes to optimize query performance
Why this is correct
Indexes improve query speed.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✓
Use elastic pools to manage multiple databases with variable workloads
Why this is correct
Elastic pools provide cost-effective scaling.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✓
Implement read replicas for read-heavy workloads
Why this is correct
Read replicas offload read traffic.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Avoid using stored procedures to reduce complexity
Why it's wrong here
Stored procedures can enhance performance and security.
✗
Disable automatic tuning to maintain consistent performance
Why it's wrong here
Automatic tuning helps optimize performance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may mistakenly think stored procedures add complexity or that disabling automatic tuning ensures consistency, when in fact both practices hinder scalability and performance in Azure SQL Database's managed environment.
Detailed technical explanation
How to think about this question
Azure SQL Database's automatic tuning leverages machine learning to identify and apply index recommendations (CREATE INDEX, DROP INDEX) and force plan corrections when query performance regresses. Under the hood, the Query Store captures runtime statistics, and the tuning engine analyzes wait stats and resource consumption to make real-time adjustments, which is especially valuable in elastic pool scenarios where workload patterns vary unpredictably.
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 AZ-305 question in full detail.
Design data storage solutions — This question tests Design data storage solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use appropriate indexes to optimize query performance — Option A is correct because appropriate indexes, such as clustered and nonclustered indexes, reduce the number of data pages scanned during query execution, directly improving query performance. In Azure SQL Database, index tuning is critical for minimizing I/O and CPU overhead, especially for large tables or complex joins.
What should I do if I get this AZ-305 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". 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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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