File organization terminology A data file in which all records share the same layout (field names, lengths, and data types) is commonly called a:

Introduction / Context:
Early information systems often used simple files that stored records with identical structures. Understanding this term helps contrast traditional file processing with relational databases, where tables are managed by a DBMS and accompanied by metadata, constraints, and query capabilities.

Given Data / Assumptions:

• The file holds records with the same fields and types.
• No complex relationships, constraints, or DBMS-managed metadata are implied.
• We are naming the common concept used in computing and data processing.

Concept / Approach:
A flat file stores data in a plain, uniform structure—examples include CSV files or fixed-length record files. All records follow the same layout, which applications must know. In contrast, a database is a managed collection with schemas, indexes, and transactions; a table is a database object within a DBMS, not just a raw file on disk.

Step-by-Step Solution:

Identify the defining trait: identical record format for all entries.Map that trait to the standard term “flat file.”Exclude “database” and “table,” which imply DBMS context.Choose “Flat file.”

Verification / Alternative check:
Texts on file organization categorize sequential, indexed-sequential, and direct access files—flat files typically underpin these structures when each record shares the same layout.

Why Other Options Are Wrong:
Database: broader system, not a single uniform file.

Table: DBMS construct, although similar visually, carries DBMS semantics.

Data structure: overly generic; could be any organization of data in memory or storage.

Common Pitfalls:
Equating a CSV table with a database table; a flat file lacks constraints, indexes, and transactional guarantees.

Final Answer:
Flat file