CREST Cyber Olympiad Class 10 Sample Paper

Prepare your child for the CREST Cyber Olympiad (CCO) with expertly crafted sample papers for Grade 10. These free PDF downloads, along with detailed solutions, are designed to help students grasp advanced cyber and computer science concepts and perform confidently in the exam.

Why Practise CREST Cyber Olympiad Sample Papers for Grade 10?

• Gain a thorough understanding of the exam format and question types.
• Sharpen problem-solving skills and improve time management.
• Identify weak areas and focus on strategic revision for better results.

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Syllabus:

Section 1: Computer & IT

1. Advanced Networking & Internet Concepts
   • Ports and Protocols – e.g., port 80 for HTTP, port 443 for HTTPS
   • Public vs Private IP addresses (IPv4 basics)
   • Static vs Dynamic IP allocation (DHCP)
   • Web hosting basics – Domain, web server, hosting providers, uptime
   • Packet switching, Packet loss, Routers, Throughput
2. Algorithms and Flowcharts
   • Algorithm Design: nested conditions, designing modular algorithms using sub-processes
   • Flowchart Techniques: loops, nested conditions (if-else, switch)
   • Iteration: using loops in algorithms (for, while)
   • Problem-Solving Activities (Algorithms): LCM & GCD, palindrome check, count vowels
   • Problem-Solving Activities (Flowcharts): simulate calculator, sort array
   • Integration with Programming Languages: convert flowcharts into working code
   • Logical Operators in Conditions (AND, OR, NOT)
3. Computer Fundamentals
   • Operating System
   • Number System
   • User Interface
   • Memory
   • Task Management
4. Cybersecurity and Digital Forensics
   • Digital Forensics: investigating computers, mobile phones, networks to uncover evidence
   • Digital Evidence: deleted files, emails, messages, browser history, photos/videos, network/server logs
   • Types of Digital Forensics: computer, mobile, network, cloud, memory forensics
   • Process of Digital Forensics: identification, preservation, analysis, reporting, presentation
   • Relationship Between Cybersecurity and Digital Forensics
5. Data Management and E-commerce
   • Key Components of Data Management: collection, storage, organization, quality, security, analytics
   • Types of E-Commerce Models: B2C, B2B, C2C, C2B
   • Key Features of E-Commerce: online stores, payment systems, shopping cart, reviews, order management
   • Challenges of Data Management: privacy, security, data overload, integration, accuracy
   • Technologies Supporting Data Management: Cloud Computing, Big Data, Machine Learning & AI, DBMS
6. Latest Developments in the Field of IT
   • Machine Learning (ML) – difference from AI, usage in prediction and personalisation
   • Green Computing – energy-efficient devices, e-waste reduction
7. MS Office
   • MS Word
   • MS PowerPoint
   • MS Excel
   • MS Access
8. Python Programming (Text-Based Coding)
   • Use of Python Modules: math, random, datetime, statistics
   • Data Validation and Error Handling
   • List & Dictionary: nested lists, list comprehensions, dictionary methods (update(), pop(), items(), etc.)
   • Functions: default and keyword arguments, return vs print, lambda functions
   • File Handling – text files: read, write, append, using with, line-by-line reading, writing logs/reports
9. Web Development
   • Types: front-end (client-side), back-end (server-side), full-stack development
   • Web Design
   • Web Hosting & Deployment
   • Web Development Tools
   • Web Security
   • Web Performance Optimization
10. Working with Databases using MS Access / DBMS
    • Querying: set conditions using relational/logical operators, multiple conditions
    • Working with Multiple Databases: relationships (1-1, 1-many, many-1, many-many)
    • Object Linking & Embedding: linking vs embedding, inserting/linking external objects

Section 2: Achievers Section

• Higher Order Thinking Questions – Syllabus as per Section 1.
• Questions are based on Windows 11 and MS Office 2016.

Sample Paper Previous Year Paper Marking Scheme

Sample Questions

Q.1

Q.2

Q.3

Q.4

Q.5

Q.6

Q.7

Q.8

Q.9

Q.10

Q.1	What is the hexadecimal value of the color red?
	a) #FF0000		b) #00FF00
	c) #0000FF		d) #00CBF0

Q.2	How does a for loop differ from a while loop in algorithms?
	a) A for loop runs with a known count; a while loop runs till a condition.		b) A for loop repeats endlessly; a while loop ends at a fixed count.
	c) A for loop cannot use logic; a while loop can use logical checks.		d) A for loop is always slower; a while loop is faster in all cases.

Q.3	Fill in the blanks in context to DBMS: (i) A database stores and processes data in the form of ___________. (ii) A primary key should never contain ____________ values.
	a) (i) Rows (ii) Incomplete		b) (i) Columns (ii) Composite
	c) (i) Tables (ii) NULL		d) (i) Cells (ii) Unique

Q.4	Fill in the blanks: With _______ only one process can execute at a time; meanwhile all other process are waiting for the processor. With _______ more than one process can be running simultaneously each on a different processor.
	a) Multiprocessing, Multiprogramming		b) Multiprogramming, Uniprocessing
	c) Multiprogramming, Multiprocessing		d) Uniprogramming, Multiprocessing

Q.5	What type of evidence can be retrieved from call logs during a forensic investigation?
	a) IP address of the attacker		b) Phone numbers, time, and duration of calls
	c) Detailed social media activity		d) Payment details

Q.6	Which of these algorithms is used to find the GCD (Greatest Common Divisor) of two numbers?
	a) Vowel counting method		b) LCM calculation
	c) String reversal method		d) Euclidean algorithm

Q.7	The image below displays a common MS PowerPoint SmartArt. Identify which of the following categories of Smart Art does this fall under.
	a) List		b) Process
	c) Relationship		d) Pyramid

Q.8	Which of the following database language allows you to access or maintain data in a database?
	a) DCL		b) DML
	c) DDL		d) DAL

Q.9	Which of the following would most likely require embedding instead of linking in a database?
	a) A video file that needs to be accessed offline		b) A database entry that references a customer’s social media profile
	c) A frequently updated spreadsheet		d) A document with frequently changing content

Q.10	When using Machine Learning for prediction in healthcare, what type of data might be used?
	a) Clinic schedule		b) Machine learning algorithms themselves
	c) System hardware logs		d) Patient medical history

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