Prepare for NTA UGC NET Computer Science examination with our free mock test question paper.
This NTA UGC NET exam is divided into two parts (i.e) Part I and Part II. You need to qualify in both papers to pass the UGC NET Computer Science exam.
|Test Duration||120 minutes|
|Marks per question||2|
|Software engineering||Development, testing and maintenance of software; Enhancing software life cycle process.|
|Programming (C/C++/JAVA/HTML)||Relations to different languages; early improvements and programming highlights.|
|Study of computer graphics||Two-dimensional and three-dimensional images; computer animation.|
|Computer Networks||Know how PC systems bolster a huge number of applications; kinds of network connections; star topology, bus topology, ring topology; understanding how computing devices exchange data with each other utilizing between hubs; remote technologies.|
|Computer architecture and organization||Functionality, association, and execution of computer systems; portraying the abilities and programming model of a PC; deciding the necessities of the user of a structure and after that outlining to address those issues as adequately as conceivable within mechanical requirements.|
|Operating system||Types of operating systems; Unix and Unix-like operating systems, components of OS; mainframes, microcomputers, understanding how distributed operating system manages a group of distinct computers and makes them appear to be a single computer; understanding how an OS utilizes specialized scheduling algorithms so that a deterministic nature of behavior is accomplished and how event-driven system switches between tasks in light of their needs.|
|Database management system (DBMS)||Classify DBMSs according to the database models that they bolster; advantages of using a DBMS; data definition, update, retrieval, administration, Creation, modification and removal of definitions that define the organization of the data; enforcing data security, monitoring performance, maintaining data integrity; security, and availability; external, conceptual, and inner perspectives; understanding the difference between general-purpose and special-purpose DBMSs; design and modeling.|
|Overview of data structures and algorithm||Understanding various sorts of information structures, generally built upon simpler primitive data types; manage large amounts of data proficiently for uses; activities that can be performed on a data structure; concrete implementation by an ADT; organize the storage and retrieval of information; fetching and storing data at any place in a computer's memory; mechanism that allows data structure implementations to be reused by different programs.|
|Data structures and algorithms||Using an algorithm; creation of models of all kinds in the domain of computer science; formal language theory; deal basically with the question of the degree to which a problem is solvable on a computer.|