DP-900 Describe core data concepts Practice Question
This DP-900 practice question tests your understanding of describe core data concepts. 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 logistics company collects sensor data from delivery trucks. Each sensor sends a JSON message that includes a fixed set of core fields (truck ID, timestamp) but also includes optional fields such as temperature, humidity, and engine diagnostics depending on the sensor type. The JSON structure varies between messages. How should this data be classified?
Why wrong: Structured data has a fixed schema with rows and columns. The JSON here has varying fields, so it is not strictly structured.
B
Semi-structured data
Correct. Semi-structured data does not have a rigid schema but has some organizational properties (tags, markers) to separate data elements. JSON with optional fields is a classic example.
C
Unstructured data
Why wrong: Unstructured data has no inherent structure, like plain text or images. JSON has structure (key-value pairs), so it is not unstructured.
D
Relational data
Why wrong: Relational data is structured and stored in tables with predefined relationships. The data here is not relational.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Semi-structured data
The JSON messages contain a fixed set of core fields (truck ID, timestamp) but also include optional fields that vary per message, meaning the data has a flexible schema. This mixture of structured fields and variable attributes is the defining characteristic of semi-structured data, which does not require a rigid schema like a relational table but still has organizational properties (e.g., key-value pairs). In Azure, this type of data is commonly stored in services like Azure Cosmos DB or Azure Blob Storage with JSON format.
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.
✗
Structured data
Why it's wrong here
Structured data has a fixed schema with rows and columns. The JSON here has varying fields, so it is not strictly structured.
✓
Semi-structured data
Why this is correct
Correct. Semi-structured data does not have a rigid schema but has some organizational properties (tags, markers) to separate data elements. JSON with optional fields is a classic example.
Related concept
Read the scenario before looking for a memorised answer.
✗
Unstructured data
Why it's wrong here
Unstructured data has no inherent structure, like plain text or images. JSON has structure (key-value pairs), so it is not unstructured.
✗
Relational data
Why it's wrong here
Relational data is structured and stored in tables with predefined relationships. The data here is not relational.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often mistake any data with a consistent core set of fields as 'structured data', overlooking that the presence of optional, varying fields makes it semi-structured.
Detailed technical explanation
How to think about this question
Semi-structured data like JSON uses self-describing schemas, where each message carries its own metadata (field names) alongside the values, allowing schema-on-read rather than schema-on-write. In practice, this enables the logistics company to ingest sensor data from different truck models without modifying the database schema, but it requires query engines (e.g., Azure Synapse Serverless SQL) to parse the JSON at query time, which can introduce performance overhead compared to structured data. A subtle behavior is that JSON fields can be nested or contain arrays, further blurring the line between structured and unstructured data.
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-900 question in full detail.
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Semi-structured data — The JSON messages contain a fixed set of core fields (truck ID, timestamp) but also include optional fields that vary per message, meaning the data has a flexible schema. This mixture of structured fields and variable attributes is the defining characteristic of semi-structured data, which does not require a rigid schema like a relational table but still has organizational properties (e.g., key-value pairs). In Azure, this type of data is commonly stored in services like Azure Cosmos DB or Azure Blob Storage with JSON format.
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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