- A
Structured data
Structured data has a fixed schema, like a table with defined columns.
- B
Semi-structured data
Why wrong: Semi-structured data uses tags or markers but doesn't have a rigid schema, e.g., JSON or XML.
- C
Unstructured data
Why wrong: Unstructured data has no predefined format, such as images or videos.
- D
Relational data
Why wrong: Relational data is a specific storage model; the data itself is structured, not a data type classification.
Quick Answer
The answer is structured data. This is correct because structured data conforms to a fixed schema where every record, such as each customer entry with CustomerID, Name, Address, and Phone, follows the same fields and data types, making it perfectly suited for storage in a relational database. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your ability to distinguish structured data from semi-structured or unstructured formats, often appearing in scenarios involving SQL-based tables or Azure SQL Database. A common trap is confusing structured data with semi-structured data like JSON, which allows flexible schemas. Remember the memory tip: think of a rigid spreadsheet or a table with columns—if every row has the exact same columns and data types, it’s structured data, ideal for efficient querying and consistency enforcement.
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 maintains a database of customer information including CustomerID, Name, Address, and Phone. Each record follows the same fixed schema. This type of data is best described as:
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Structured data
Structured data conforms to a fixed schema where each record has the same fields (CustomerID, Name, Address, Phone) and data types, making it ideal for relational database storage. This rigid, tabular format allows efficient querying using SQL and enforces consistency across all rows.
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
Structured data has a fixed schema, like a table with defined columns.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Semi-structured data
Why it's wrong here
Semi-structured data uses tags or markers but doesn't have a rigid schema, e.g., JSON or XML.
- ✗
Unstructured data
Why it's wrong here
Unstructured data has no predefined format, such as images or videos.
- ✗
Relational data
Why it's wrong here
Relational data is a specific storage model; the data itself is structured, not a data type classification.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'relational data' (a storage model) with 'structured data' (a data type), leading them to select Option D, but the DP-900 exam categorizes data by its structure, not by the database system used to store it.
Detailed technical explanation
How to think about this question
Structured data is typically stored in tables with rows and columns, where each column has a specific data type (e.g., INT for CustomerID, VARCHAR for Name). This schema-on-write approach ensures data integrity and supports ACID transactions, which is critical for OLTP systems like retail customer databases. In contrast, semi-structured data uses schema-on-read, allowing flexibility but requiring parsing logic at query time.
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.
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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Describe core data concepts — study guide chapter
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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: Structured data — Structured data conforms to a fixed schema where each record has the same fields (CustomerID, Name, Address, Phone) and data types, making it ideal for relational database storage. This rigid, tabular format allows efficient querying using SQL and enforces consistency across all rows.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 →
Same concept, more angles
4 more ways this is tested on DP-900
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 retail company stores customer transaction data in a relational database. Each transaction is recorded with a fixed schema including TransactionID, CustomerID, ProductID, Quantity, and TotalAmount. Which type of data does this represent?
easy- A.Unstructured data
- B.Semi-structured data
- ✓ C.Structured data
- D.Binary data
Why C: Option C is correct because the data conforms to a fixed schema with defined columns (TransactionID, CustomerID, ProductID, Quantity, TotalAmount) and data types, which is the defining characteristic of structured data. In a relational database, this schema enforces consistency and allows for efficient querying using SQL, making it a classic example of structured data.
Variation 2. A company stores customer data in a SQL Server database table with columns: CustomerID (integer), Name (varchar), Email (varchar), SignupDate (date). All rows adhere to this schema. Which type of data does this represent?
easy- ✓ A.Structured data
- B.Unstructured data
- C.Semi-structured data
- D.Transactional data
Why A: This data is structured because it conforms to a fixed schema with clearly defined columns (CustomerID, Name, Email, SignupDate) and data types (integer, varchar, date). In SQL Server, structured data is stored in tables with rows and columns, enabling efficient querying via T-SQL and indexing. The consistent adherence to the schema across all rows is the hallmark of structured data.
Variation 3. A company stores customer data in a SQL Server table with fixed columns (CustomerID, Name, Email, SignupDate). The company also stores application logs as JSON documents and marketing images as JPEG files. Which data type describes the customer data?
easy- ✓ A.Structured data
- B.Semi-structured data
- C.Unstructured data
- D.Relational data
Why A: Customer data stored in a SQL Server table with fixed columns (CustomerID, Name, Email, SignupDate) follows a rigid schema where each row has the same set of columns with defined data types. This conforms to the relational model, making it structured data. Structured data is organized into rows and columns with a fixed schema, enabling efficient querying via SQL.
Variation 4. A company receives customer order data from its online store in a CSV file. Each line contains fields like OrderID, CustomerName, Product, Quantity, and OrderDate. This data is best described as:
easy- ✓ A.Structured data
- B.Semi-structured data
- C.Unstructured data
- D.Transactional data
Why A: A is correct because the CSV file contains data that conforms to a strict tabular schema with predefined columns (OrderID, CustomerName, Product, Quantity, OrderDate) and consistent data types per column. This rigid, row-and-column format with a fixed schema is the defining characteristic of structured data, which can be directly loaded into a relational database or Azure SQL Database without transformation.
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Last reviewed: Jun 11, 2026
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