CUET CS Entrance Preparation MCQ's Practice for B. Tech, BSC, Bsc IT, BCA Python

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Welcome to the CUET MCQ Course. In this course, you will be able to do more than 1000+ MCQ for CUET CS Exam 2025. All the MCQ's arce.e n important and crafted specially for CUET Entrance Preparation.

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Syllabus

Section A 

1: Database Concepts  Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key.  Relational algebra: selection, projection, union, set difference and cartesian product. 

2: Structured Query Language - I  Advantages of using Structured Query Language, Data Definition Language, Data Query Language  and Data Manipulation Language, Introduction to MySQL, Creating a database using MySQL, Data Types  Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, Data Query: SELECT, FROM, WHERE  Data Manipulation: INSERT, UPDATE, DELETE Math functions: POWER (), ROUND (), MOD ().Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().

3: Structured Query Language - II   Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().  Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*). Querying and manipulating data using Group by, Having, Order by.  Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN 

4: Computer Networks  Introduction to computer networks, Evolution of networking,  Network types: LAN, WAN, MAN  Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies.  Basic concept of MAC and IP Address Difference  between Internet and web.

Section B1: Computer Science

1: Exception and File Handling in Python    Exception Handling: syntax errors, exceptions, need of exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else clause, Try - finally clause, recovering and continuing with finally, built-in exception classes.  File Handling: text file and binary file, file types, open and close files, reading and writing text files, reading and writing binary files using pickle module, file access modes.   

2: Stack    Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack (PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix notations, evaluating arithmetic expressions using stack, conversion of Infix expression to postfix expression     

3: Queue   Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and DELETE) and its implementation in Python.  Introduction to DQueue and its implementation in Python.     

4: Searching    Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to identify best, worst and average cases. Implementation of searching techniques in Python.   

5: Sorting    Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to identify best, worst and average cases. Implementation of sorting techniques in Python.  Hashing: Hash Functions, Collision Resolution.   

6: Understanding Data    Data and its purpose, collection and organization; understanding data using statistical methods: mean, median, standard deviation, variance; data interpretation.     

7: Database Concepts   Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key;   Relational algebra: selection, projection, union, set difference and cartesian product. 

8: Structured Query Language    Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, Creating a database using MySQL, Data Types  Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,   Data Query: SELECT, FROM, WHERE  Data Manipulation: INSERT, UPDATE, DELETE   Math functions: POWER (), ROUND (), MOD ().  Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),     LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().  Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ()  Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT(*).     Querying and manipulating data using Group by, Having, Order by.  Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN         

9: Computer Networks    Introduction to computer networks, Evolution of networking,   Network types: LAN, WAN, MAN  Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies   Basic concept of MAC and IP Address.   Difference between Internet and web 

10: Data Communication   Concept of communication, Types of Data Communication, switching techniques  Communication Media: Wired Technologies – Twisted pair cable, Co-axial cable, Ethernet Cable, Optical Fibre;  Introduction to mobile telecommunication technologies  Wireless Technologies – Bluetooth, WLAN, Infrared, Microwave  Network Protocol: Need for Protocol, Categorization and Examples of protocol, HTTP, FTP, IP, PPP; electronic mail protocol  Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data Transfer rate (bps, Kbps, Mbps, Gbps, Tbps)    Threats and prevention: Viruses, Worms, Trojan horse, Spam, Cookies, Adware, Firewall, http vs https.  Network Security Concepts: Firewall, Cookies, Hackers and Crackers  Antivirus and their workings  Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping.