- A
Azure SQL Database
Why wrong: Azure SQL Database is a relational database that enforces a fixed schema. The varying sensor measurements would require schema changes or sparse columns, making it less suitable for flexible schemas.
- B
Azure Cosmos DB with the NoSQL API
Azure Cosmos DB NoSQL API stores JSON documents with a flexible schema, supports global distribution, and provides low-latency writes, making it ideal for IoT sensor data with variable attributes.
- C
Azure Cache for Redis
Why wrong: Azure Cache for Redis is an in-memory data store primarily used for caching. While it offers low latency, it is not designed for durable storage of large volumes of sensor data with global distribution.
- D
Azure Database for PostgreSQL
Why wrong: Azure Database for PostgreSQL is a relational database that requires a predefined schema. The variable measurements would need to be handled via JSON columns or separate tables, but it lacks native global distribution.
Quick Answer
Azure Cosmos DB with the NoSQL API is the correct choice because it is a globally distributed NoSQL database designed for IoT sensor data with flexible schema, supporting low-latency writes from thousands of devices while automatically indexing variable measurements like temperature and vibration. The key technical concept here is that Cosmos DB’s schemaless nature allows each sensor reading to have a different set of fields, and its multi-region write capability ensures fast, consistent ingestion across geographic locations. On the DP-900 exam, this question tests your understanding of when to choose a NoSQL database over a relational one, often contrasting Cosmos DB with Azure SQL Database or Table Storage. A common trap is selecting Azure Table Storage for its schemaless design, but Table Storage lacks global distribution and low-latency write guarantees at scale. Remember the mnemonic “Cosmos Covers Global NoSQL” to link its global distribution, flexible schema, and low-latency writes for IoT workloads.
DP-900 Practice Question: Describe considerations for working with non-relational data on Azure
This DP-900 practice question tests your understanding of describe considerations for working with non-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 manufacturing company collects sensor data from thousands of IoT devices. Each sensor reading includes a timestamp, device ID, and a variable set of measurements (e.g., temperature, pressure, vibration) that differ by device type. The company needs to store this data in a globally distributed NoSQL database that supports low-latency writes and flexible schema. Which Azure data store should they choose?
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 with the NoSQL API
Azure Cosmos DB with the NoSQL API is the correct choice because it is a globally distributed, multi-model database service that supports low-latency writes at scale, a flexible schema (schemaless), and automatic indexing of variable sensor measurements. Its multi-region write capability and configurable consistency levels meet the requirements of high-throughput IoT ingestion from thousands of devices.
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 SQL Database
Why it's wrong here
Azure SQL Database is a relational database that enforces a fixed schema. The varying sensor measurements would require schema changes or sparse columns, making it less suitable for flexible schemas.
- ✓
Azure Cosmos DB with the NoSQL API
Why this is correct
Azure Cosmos DB NoSQL API stores JSON documents with a flexible schema, supports global distribution, and provides low-latency writes, making it ideal for IoT sensor data with variable attributes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Cache for Redis
Why it's wrong here
Azure Cache for Redis is an in-memory data store primarily used for caching. While it offers low latency, it is not designed for durable storage of large volumes of sensor data with global distribution.
- ✗
Azure Database for PostgreSQL
Why it's wrong here
Azure Database for PostgreSQL is a relational database that requires a predefined schema. The variable measurements would need to be handled via JSON columns or separate tables, but it lacks native global distribution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Cache for Redis as a primary database for IoT data, but it is an in-memory cache without durability guarantees, not a globally distributed NoSQL store for persistent sensor readings.
Detailed technical explanation
How to think about this question
Cosmos DB uses a resource-governed write path with a log-structured merge-tree (LSM) engine to achieve single-digit-millisecond writes at any scale. Its NoSQL API exposes a document model (JSON) that naturally accommodates variable measurement fields per device type, and the database automatically indexes every property without requiring schema definitions. For IoT scenarios, Cosmos DB can be configured with multi-region writes and session or eventual consistency to balance latency and data freshness across globally distributed devices.
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.
What to study next
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FAQ
Questions learners often ask
What does this DP-900 question test?
Describe considerations for working with non-relational data on Azure — This question tests Describe considerations for working with non-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: Azure Cosmos DB with the NoSQL API — Azure Cosmos DB with the NoSQL API is the correct choice because it is a globally distributed, multi-model database service that supports low-latency writes at scale, a flexible schema (schemaless), and automatic indexing of variable sensor measurements. Its multi-region write capability and configurable consistency levels meet the requirements of high-throughput IoT ingestion from thousands of devices.
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
This DP-900 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 DP-900 exam.
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