CSI106 Pt1 Practice Quiz
Ace your exam with engaging study questions
Editorial: Review CompletedUpdated Aug 25, 2025
This CSI106 PT1 practice quiz helps you review key Grade 11 topics in 20 quick questions. Use it to spot gaps before the next test so you can focus your study time where it counts, then come back to practice again.
Study Outcomes
- Identify fundamental computer science concepts essential for diagnostic assessments.
- Analyze quiz results to uncover and understand knowledge gaps.
- Apply problem-solving strategies to practice questions effectively.
- Evaluate individual performance to guide targeted exam preparation.
CSI106 PT1 Practice Cheat Sheet
- Programming Language Tiers - Think of machine code as the raw instructions your computer eats for breakfast, assembly as the trusty translator, and high‑level languages like Python and Java as the friendly toolkit you actually code in. Each tier unlocks different levels of power and control, so knowing when to dive deep or stay abstract is key.
- Core Data Structures - Arrays, linked lists, stacks, queues, trees, and graphs are like your coding toolbox: each solves a unique organizing or retrieval challenge. Mastering these structures helps you pick the perfect tool to streamline your code and boost performance.
- Essential Software Types - From assemblers and compilers to interpreters, operating systems, and user applications, software comes in many flavors. Understanding how each type transforms code or manages hardware is crucial for building anything from games to enterprise systems.
- Algorithm Fundamentals - An algorithm is just a recipe: a step‑by‑step guide to solve a problem. Grasping design patterns and analyzing their efficiency makes you a coding chef who serves up the fastest, most scalable solutions.
- Computer Hardware 101 - Peek under the hood at the CPU, memory, storage, and I/O devices - these are the physical components powering every app you run. Knowing how they interact lets you optimize performance and troubleshoot like a pro.
- Binary Number System - Computers count in ones and zeros, so converting between binary and decimal is a must‑have skill for any coder. Practice your number flips to decode how data truly lives inside your machine.
- OOP Principles - Encapsulation, inheritance, and polymorphism sound fancy, but they're just ways to organize code into reusable, flexible building blocks. Master OOP and you'll craft scalable applications without reinventing the wheel each time.
- Networking Basics - IP addresses, protocols, servers, and clients form the digital highways that carry your data around the globe. Understanding these fundamentals helps you debug connectivity issues and build networked applications with confidence.
- Software Development Life Cycle - From planning and requirements to coding, testing, deployment, and maintenance, the SDLC is your roadmap for delivering reliable software. Follow its stages to keep projects on track and stakeholders happy.
- Ethical & Social Impacts - Technology shapes privacy, security, and access around the world, so it's vital to consider the human side of your code. Stay mindful of biases, data protection, and the digital divide to be a responsible innovator.