DBMS Architecture and its Classification

This in Oracle architecture is a database management system, which is able to store, manage and manipulate data.

Record management systems can be modeled after various organizational methods. Business forms, handwritten lists, and rolodex card files all represent valid conceptual models for structuring record-keeping systems. Since each option represents a legitimate approach, 'all of the above' is the correct choice.

The hierarchy of data organization progresses from smallest to largest: data field → data record → data file → database. A database is the highest level among the given options as it contains multiple related files. Data bank is not a standard term in the data organization hierarchy.

Multimedia databases are specifically designed to handle diverse data types including text, images, audio, and video. Transaction databases focus on recording transactions, graphics databases on visual data, and video-on-demand databases are specialized for video streaming. Multimedia encompasses all these data types.

  Transaction log is a history of actions executed by a DBMS to guarantee ACID properties over crashes or hardware failures.

Data dictionaries store metadata about data elements including their location, ownership relationships, and usage patterns within the system. They do not contain technical hardware specifications like disk storage device sizes, which are physical storage details outside the scope of data element metadata.

The Network model is a record-based logical data model that organizes data in a graph structure with records as nodes and relationships as edges. The Object-oriented model is object-based, not record-based. The E-R model is a conceptual modeling tool, not a logical model. Object-based is a category, not a specific model.

Data abstraction has three levels: Physical (lowest), Logical (middle), and View (highest). The View level provides the highest level of abstraction by showing users only the data they need without exposing underlying structures. It simplifies data access by hiding complexity.

In physical data independence, the changes done on the physical data independence does not affect the logical data independence.

Internal schema or physical schema define how and where data are stored or organized in a physical data storage.

In file organization systems, a master file contains permanent or semi-permanent data that changes slowly over time. Log files record activities, specialized files serve specific purposes, and update files contain temporary changes. The perpetual file is the master file as it maintains the core persistent data.

This object in distributed database receives a request for information from another node.