DP-203 Design and implement data storage 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 are designing a solution for a social media company that needs to store user profile data with strong consistency and low latency (under 10 ms) for reads and writes. The data model is simple key-value with occasional queries on secondary attributes. Which Azure data store meets these requirements?
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 with session consistency and secondary indexes
Azure Cosmos DB with session consistency and secondary indexes meets the requirements because it provides single-digit-millisecond latency for both reads and writes, supports strong consistency (session consistency offers monotonic reads and writes), and allows efficient queries on secondary attributes via indexing. This makes it ideal for a key-value store with occasional secondary attribute queries, unlike simpler stores that lack indexing or consistency guarantees.
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 Table Storage
Why it's wrong here
Table Storage has higher latency (10-20 ms) and limited secondary indexing.
✗
Azure SQL Database with clustered index on user ID
Why it's wrong here
SQL Database is relational and adds overhead for simple key-value operations.
✗
Azure Cache for Redis with persistence
Why it's wrong here
Redis is a cache, not designed for durable, consistent storage.
✓
Azure Cosmos DB with session consistency and secondary indexes
Why this is correct
Cosmos DB provides <10 ms latency, strong consistency, and indexing on any attribute.
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 C) for low latency, overlooking that it lacks secondary indexes for attribute queries and does not provide strong consistency for writes, which are critical for profile data with occasional secondary lookups.
Detailed technical explanation
How to think about this question
Azure Cosmos DB uses a multi-master replication model with tunable consistency levels; session consistency uses a session token to ensure monotonic reads and writes within a client session, avoiding stale reads. Secondary indexes in Cosmos DB are automatically maintained and can be composite or single-property, enabling efficient queries on attributes like email or location without requiring a separate index store. The under-10-ms latency is achieved through direct TCP connections and partitioning, with reads typically served from the nearest replica.
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.
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: Azure Cosmos DB with session consistency and secondary indexes — Azure Cosmos DB with session consistency and secondary indexes meets the requirements because it provides single-digit-millisecond latency for both reads and writes, supports strong consistency (session consistency offers monotonic reads and writes), and allows efficient queries on secondary attributes via indexing. This makes it ideal for a key-value store with occasional secondary attribute queries, unlike simpler stores that lack indexing or consistency guarantees.
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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