- A
Structured data
Why wrong: Structured data requires a fixed schema with consistent fields. The JSON messages here have varying fields, so this is incorrect.
- B
Semi-structured data
Correct. JSON data with optional fields and varying structure is a classic example of semi-structured data, which uses tags or keys to organize data without a rigid schema.
- C
Unstructured data
Why wrong: Unstructured data has no identifiable structure (e.g., video, audio). The JSON messages have some organization, so they are not unstructured.
- D
Relational data
Why wrong: Relational data is structured into tables with predefined schemas. The flexible nature of JSON does not fit the relational model.
DP-900 Describe core data concepts Practice Question
This DP-900 practice question tests your understanding of describe core data concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 data from fleet sensors. Each sensor sends a JSON message containing the vehicle ID, timestamp, and a variable set of measurements such as engine temperature, tire pressure, and fuel level. The structure of the JSON message differs between sensor types and sometimes includes optional fields. How should this data be classified?
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
Semi-structured data
The data is semi-structured because it conforms to a schema (JSON format with fields like vehicle ID and timestamp) but allows variability in structure, such as optional fields and different sets of measurements per sensor type. This flexibility is a hallmark of semi-structured data, which does not require a rigid tabular schema like structured data but still contains tags or markers to separate data elements.
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 requires a fixed schema with consistent fields. The JSON messages here have varying fields, so this is incorrect.
- ✓
Semi-structured data
Why this is correct
Correct. JSON data with optional fields and varying structure is a classic example of semi-structured data, which uses tags or keys to organize data without a rigid schema.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Unstructured data
Why it's wrong here
Unstructured data has no identifiable structure (e.g., video, audio). The JSON messages have some organization, so they are not unstructured.
- ✗
Relational data
Why it's wrong here
Relational data is structured into tables with predefined schemas. The flexible nature of JSON does not fit the relational model.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates see 'JSON' and assume it is structured data because JSON has keys and values, but they miss that the variable and optional fields make it semi-structured, not strictly structured.
Detailed technical explanation
How to think about this question
JSON (RFC 8259) is a common format for semi-structured data because it uses key-value pairs and arrays to represent hierarchical or nested data without enforcing a fixed schema. In real-world IoT scenarios, sensors may emit JSON payloads where fields like 'tire_pressure' are omitted for certain sensor types, and this schema-on-read approach allows applications to parse only the relevant fields. This contrasts with structured data in Azure SQL Database, where every row in a table must have the same columns defined in the schema.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DP-900 question test?
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 data is semi-structured because it conforms to a schema (JSON format with fields like vehicle ID and timestamp) but allows variability in structure, such as optional fields and different sets of measurements per sensor type. This flexibility is a hallmark of semi-structured data, which does not require a rigid tabular schema like structured data but still contains tags or markers to separate data elements.
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
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