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 readings from thousands of IoT devices. Each reading consists of a device ID, a timestamp, and a numeric value. The data is stored as key-value pairs and must support low-latency reads and writes at a global scale. The company also needs to query the data by device ID and time range. Which Azure Cosmos DB API should they choose?
Why wrong: The Core API supports SQL-like queries and is ideal for JSON documents with varying structure, but it is not optimized for simple key-value access patterns.
B
MongoDB API
Why wrong: The MongoDB API is for document-oriented data and supports a rich query model, but the data here is a simple key-value pair, not a document.
C
Table API
The Table API is built for key-value workloads and stores data as items with a partition key and row key. It allows efficient point reads and range queries, making it ideal for IoT sensor data.
D
Gremlin API
Why wrong: The Gremlin API is used for graph data and traversing relationships between nodes, which is not applicable for key-value sensor readings.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Table API
The Table API is the correct choice because it is designed for key-value workloads with a schema-less design, supporting low-latency reads and writes at global scale. It allows querying by partition key (device ID) and row key (timestamp) to efficiently retrieve data by device ID and time range, matching the IoT sensor data requirements.
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.
✗
Core (SQL) API
Why it's wrong here
The Core API supports SQL-like queries and is ideal for JSON documents with varying structure, but it is not optimized for simple key-value access patterns.
✗
MongoDB API
Why it's wrong here
The MongoDB API is for document-oriented data and supports a rich query model, but the data here is a simple key-value pair, not a document.
✓
Table API
Why this is correct
The Table API is built for key-value workloads and stores data as items with a partition key and row key. It allows efficient point reads and range queries, making it ideal for IoT sensor data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Gremlin API
Why it's wrong here
The Gremlin API is used for graph data and traversing relationships between nodes, which is not applicable for key-value sensor readings.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose the Core (SQL) API because they associate SQL with querying, but the Table API is specifically built for key-value and time-series workloads with composite key queries, which is the exact pattern described.
Detailed technical explanation
How to think about this question
The Table API uses a flat, schema-less design where each entity is a row with a partition key and row key, enabling fast point reads and range queries via the row key. Under the hood, Azure Cosmos DB indexes the partition and row keys automatically, allowing O(1) lookup for key-value pairs and efficient time-range scans without scanning the entire dataset. In real-world IoT scenarios, this API can handle millions of writes per second with consistent single-digit millisecond latency when configured for multi-region writes.
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 DP-900 question in full detail.
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: Table API — The Table API is the correct choice because it is designed for key-value workloads with a schema-less design, supporting low-latency reads and writes at global scale. It allows querying by partition key (device ID) and row key (timestamp) to efficiently retrieve data by device ID and time range, matching the IoT sensor data requirements.
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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Question Discussion
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