53. A company needs a database in which data is stored in a plain text document and is separated by delimiters, such as commas. Which type of database is needed?
Answer: D
A flat-file database is needed.
A flat-file database is the appropriate choice for a situation where data is stored in a plain text document and separated by delimiters, such as commas. This type of database is characterized by its simplicity and ease of use for straightforward data storage.
A) Cloud
A cloud database refers to a database that is hosted on a cloud computing platform, allowing for remote access and scalability. While cloud databases can store data in various formats, they do not specifically utilize plain text documents with delimiters, making this option incorrect for the given scenario.
B) Distributed
A distributed database is one that is spread across multiple locations or systems, which can provide redundancy and improved performance. This type of database is more complex than a flat-file database and typically involves multiple data storage structures, thus not fitting the requirement for a simple plain text document with delimiters.
C) Hierarchical
A hierarchical database organizes data in a tree-like structure, with parent-child relationships. This model is not suitable for data that is stored in plain text documents separated by delimiters, as it requires a more structured format rather than the flat structure provided by a flat-file database.
D) Flat-file
A flat-file database stores data in a single table or file, typically in a plain text format, where records are separated by delimiters such as commas. This method is ideal for simple data storage needs, thus making it the correct choice for the scenario described.
Conclusion
The flat-file database is definitively the right answer as it directly addresses the requirement for storing data in a plain text document with delimiters. All other options fail to meet the criteria due to their complexity or different structural requirements, underscoring the simplicity and effectiveness of flat-file databases for straightforward data management.