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

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Q.2

Q.3

Q.4

Q.5

Q.6

Q.7

Q.8

Q.9

Q.10

Q.1	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

Q.2	What is web performance optimization?
	a) Increasing the quality of the website's design		b) Securing the website from attacks
	c) Adding more features to the website		d) Making the website load faster and more efficiently

Q.3	Which of the following allows a function to be called with parameters in any order?
	a) Positional arguments		b) Nested functions
	c) Anonymous functions		d) Keyword arguments

Q.4	Which of the following best ensures that stored data is not lost in case of hardware failure?
	a) Data mining		b) Data encryption
	c) Regular data backups		d) Data redundancy removal

Q.5	Fill in the blank: _________ is a set of interactive telecommunication technologies which allows two or more location users to interact via two-way video and audio transmissions simultaneously.
	a) Audio conference		b) Video conference
	c) Visual collaboration		d) Both b and c

Q.6	A company collects real-time data from website visits, app usage, and social media. What problem might arise?
	a) Better product photography		b) Data overload without proper filters
	c) Fewer customer sign-ups		d) Reduced shipping fees

Q.7	Which of the following is considered a digital device for forensic investigation?
	a) Television		b) Refrigerator
	c) Mobile phone		d) Microwave

Q.8	Which layer is international standard organisation's OSI model responsible for creating and recognising frame boundaries?
	a) Physical layer		b) Data link layer
	c) Transport layer		d) Network layer

Q.9	What is the purpose of statistics.median()?
	a) Returns the middle value in a dataset		b) It performs string manipulation
	c) It returns a fixed value		d) It provides random access

Q.10	In data organisation, what is the role of database tables and fields?
	a) To secure data from cyberattacks		b) To categorise and structure data for easy access
	c) To analyse data using charts		d) To delete unnecessary data automatically

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