AZ-305 Design data storage solutions Practice Question
This AZ-305 practice question tests your understanding of design data storage solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 global company stores customer profile data in JSON format. The application requires low-latency writes and reads from multiple regions. The solution must support multi-region writes with automatic conflict resolution and provide high availability. Which Azure Cosmos DB configuration should they choose?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
SQL API with eventual consistency and multi-region writes enabled
The scenario demands low-latency multi-region writes with automatic conflict resolution and high availability. Azure Cosmos DB's SQL API supports multi-region writes with eventual consistency, which is the only consistency level that allows multi-region writes. Eventual consistency provides the lowest latency and highest availability, and Cosmos DB's automatic conflict resolution handles concurrent writes across regions using last-writer-wins (LWW) or custom conflict resolution policies.
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.
✓
SQL API with eventual consistency and multi-region writes enabled
Why this is correct
SQL API handles JSON, eventual consistency supports multi-region writes, and conflict resolution is automatic.
Related concept
Read the scenario before looking for a memorised answer.
✗
MongoDB API with strong consistency and multi-region writes enabled
Why it's wrong here
Strong consistency is not compatible with multi-region writes; this configuration is invalid.
✗
Table API with consistent prefix consistency and single-region writes
Why it's wrong here
Table API stores key-value data, not JSON; single-region writes do not meet the multi-region write requirement.
✗
Gremlin API with session consistency and multi-region writes enabled
Why it's wrong here
Gremlin API is for graph databases, not suitable for JSON document storage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume strong consistency is required for data integrity, but Azure Cosmos DB enforces that multi-region writes only work with eventual consistency, and automatic conflict resolution handles the trade-off between consistency and availability.
Detailed technical explanation
How to think about this question
Cosmos DB's multi-region writes rely on a multi-master replication model where each region can accept writes independently. Eventual consistency ensures that updates propagate asynchronously, and conflict resolution policies (e.g., last-writer-wins using a timestamp or custom stored procedures) resolve concurrent modifications. This design is critical for global applications like e-commerce or social media where write latency must be under 10 ms regardless of user location.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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: SQL API with eventual consistency and multi-region writes enabled — The scenario demands low-latency multi-region writes with automatic conflict resolution and high availability. Azure Cosmos DB's SQL API supports multi-region writes with eventual consistency, which is the only consistency level that allows multi-region writes. Eventual consistency provides the lowest latency and highest availability, and Cosmos DB's automatic conflict resolution handles concurrent writes across regions using last-writer-wins (LWW) or custom conflict resolution policies.
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.
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Question Discussion
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