- A
Azure Cache for Redis
Why wrong: Caching layer, not a persistent data store.
- B
Azure Blob Storage
Why wrong: Not optimized for low-latency queries.
- C
Azure SQL Database
Why wrong: Higher latency for global reads without geo-replication.
- D
Azure Cosmos DB
Globally distributed, low-latency, multi-region reads.
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.
A company is designing a data storage solution for a global e-commerce platform that requires low-latency access to product catalog data from multiple Azure regions. The data is read-heavy, with occasional updates. Which Azure data store should they recommend?
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
Azure Cosmos DB
Azure Cosmos DB is the correct choice because it provides globally distributed, multi-region writes with tunable consistency levels and single-digit-millisecond latency for read-heavy workloads. Its ability to replicate data across Azure regions and serve reads from the nearest region directly addresses the requirement for low-latency global access to product catalog data with occasional updates.
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.
- ✗
Azure Cache for Redis
Why it's wrong here
Caching layer, not a persistent data store.
- ✗
Azure Blob Storage
Why it's wrong here
Not optimized for low-latency queries.
- ✗
Azure SQL Database
Why it's wrong here
Higher latency for global reads without geo-replication.
- ✓
Azure Cosmos DB
Why this is correct
Globally distributed, low-latency, multi-region reads.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Azure Cache for Redis (Option A) because they associate low-latency with caching, but fail to recognize that the question requires a durable, globally distributed primary data store, not a cache layer that depends on an underlying database.
Detailed technical explanation
How to think about this question
Azure Cosmos DB achieves global low-latency reads through its multi-homing API and automatic replication across any number of Azure regions, using a write-optimized, log-structured index tree (LSM) and a quorum-based replication protocol. The consistency level can be tuned from strong to eventual, allowing trade-offs between latency and staleness; for a read-heavy catalog, 'bounded staleness' or 'session' consistency often provides the best balance. In a real-world scenario, a global e-commerce platform would configure Cosmos DB with multiple read regions and use the SDK's direct connectivity mode to route queries to the nearest endpoint, achieving p99 latencies under 10 ms.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Design data storage solutions — study guide chapter
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FAQ
Questions learners often ask
What does this AZ-305 question test?
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: Azure Cosmos DB — Azure Cosmos DB is the correct choice because it provides globally distributed, multi-region writes with tunable consistency levels and single-digit-millisecond latency for read-heavy workloads. Its ability to replicate data across Azure regions and serve reads from the nearest region directly addresses the requirement for low-latency global access to product catalog data with occasional updates.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 24, 2026
This AZ-305 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-305 exam.
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