The correct classification is structured data because the inventory table uses a fixed schema with predefined columns like ProductID, ProductName, QuantityInStock, and ReorderLevel, each enforcing specific data types and relationships. This rigid organization makes the data highly predictable, easily queryable via SQL, and ideal for relational database storage—hallmarks of structured data. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your ability to distinguish structured, semi-structured, and unstructured data, often using real-world scenarios like inventory or customer records. A common trap is confusing structured data with semi-structured formats like JSON or XML, which allow flexible schemas. Remember the mnemonic “Fixed Fields, Fast Filters” to recall that structured data relies on fixed columns and supports efficient filtering and aggregation.
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 retail company stores product inventory data in a fixed-schema table with columns for ProductID, ProductName, QuantityInStock, and ReorderLevel. How should this data be classified?
Correct - The data has a fixed schema organized in rows and columns, which is the definition of structured data.
B
Semi-structured data
Why wrong: Incorrect - Semi-structured data, like JSON or XML, has some organizational properties but does not require a rigid schema. The inventory data has a fixed schema.
C
Unstructured data
Why wrong: Incorrect - Unstructured data refers to data that has no predefined data model, such as video files or emails. The inventory data is clearly organized.
D
Streaming data
Why wrong: Incorrect - Streaming data refers to data that is continuously generated from sources like IoT devices, not the classification of the data at rest.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Structured data
This data is classified as structured data because it conforms to a fixed schema with clearly defined columns (ProductID, ProductName, QuantityInStock, ReorderLevel) and data types, stored in a relational table. Structured data is highly organized, easily queryable via SQL, and follows a rigid schema, which matches the description of the inventory table.
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 this is correct
Correct - The data has a fixed schema organized in rows and columns, which is the definition of structured data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Semi-structured data
Why it's wrong here
Incorrect - Semi-structured data, like JSON or XML, has some organizational properties but does not require a rigid schema. The inventory data has a fixed schema.
✗
Unstructured data
Why it's wrong here
Incorrect - Unstructured data refers to data that has no predefined data model, such as video files or emails. The inventory data is clearly organized.
✗
Streaming data
Why it's wrong here
Incorrect - Streaming data refers to data that is continuously generated from sources like IoT devices, not the classification of the data at rest.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse structured data with semi-structured data because both involve some organization, but the key distinction is that structured data requires a rigid, predefined schema (like a fixed-schema table), while semi-structured data allows schema flexibility (e.g., JSON with optional fields).
Detailed technical explanation
How to think about this question
Structured data is typically stored in relational database management systems (RDBMS) like Azure SQL Database or SQL Server, where schema enforcement ensures data integrity through constraints such as primary keys and foreign keys. Under the hood, this data is stored in fixed-length or variable-length rows on disk, enabling efficient indexing and ACID-compliant transactions. A real-world scenario: a retail company using this table for inventory management can quickly run queries like 'SELECT * FROM Inventory WHERE QuantityInStock < ReorderLevel' to trigger automated restocking alerts.
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.
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: Structured data — This data is classified as structured data because it conforms to a fixed schema with clearly defined columns (ProductID, ProductName, QuantityInStock, ReorderLevel) and data types, stored in a relational table. Structured data is highly organized, easily queryable via SQL, and follows a rigid schema, which matches the description of the inventory table.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company receives data from a point-of-sale system. Each row contains TransactionID, ProductID, Quantity, and Price. The data has a fixed schema and is stored in a table. How should this data be classified?
easy
✓ A.Structured data
B.Semi-structured data
C.Unstructured data
D.Transactional data
Why A: The data has a fixed schema with clearly defined columns (TransactionID, ProductID, Quantity, Price) and each row follows the same structure, which is the definition of structured data. In Azure, this would map directly to a table in Azure SQL Database or a fixed-schema table in Azure Synapse Analytics. The rigid schema and consistent data types make it ideal for relational storage and querying.
Last reviewed: Jun 11, 2026
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