CS Cheat Sheet 2026

The 30 highest-yield CS facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. What is a fundamental principle of DevOps & Deployment in Computer Science practice? → Following established standards and best practices
2. Which tool is commonly used for root cause analysis in Computer Science? → Fishbone (Ishikawa) diagram
3. Which approach best supports quality outcomes in Security & Authentication for Computer Science? → Systematic application of evidence-based methods
4. Which type of pipeline hazard occurs when an instruction depends on the result of a previous instruction that has not yet completed? → Data hazard
5. Which programming paradigm focuses on objects and their interactions? → Object-oriented programming (OOP)
6. What does the 'exec()' family of system calls do in Unix/Linux? → Replaces the current process's memory image with a new program while retaining the PID
7. Which of the following best describes an API (Application Programming Interface)? → A set of functions and protocols for communication
8. What is the purpose of data encryption in cybersecurity? → To protect data by converting it into a secure format
9. What does the PDCA cycle stand for in quality management? → Plan, Do, Check, Act
10. In Computer Science, what is the purpose of an audit trail? → To record and track all changes and access to data
11. What is the primary goal of quality assurance in Computer Science? → Ensuring consistent standards and continuous improvement
12. Which skill is most important for success in Cloud Computing & Services within Computer Science? → Continuous learning and adaptation
13. Which principle underpins Total Quality Management (TQM) in Computer Science? → Everyone in the organization is responsible for quality
14. What is the primary goal of quality assurance in Computer Science? → Ensuring consistent standards and continuous improvement
15. What technique is used in random forests to create diversity among individual decision trees? → Bootstrap aggregating (bagging) with random feature subsets
16. What does 'endianness' describe in computer architecture? → The order in which bytes of a multi-byte value are stored in memory
17. Which approach best supports quality outcomes in Cloud Computing & Services for Computer Science? → Systematic application of evidence-based methods
18. What is the primary benefit of using technology in Computer Science practice? → Improving efficiency, accuracy, and data management
19. What is the purpose of dropout regularization in neural networks? → It randomly deactivates neurons during training to prevent co-adaptation and overfitting
20. What does the PDCA cycle stand for in quality management? → Plan, Do, Check, Act
21. What is the importance of staying current with trends in Cloud Computing & Services for Computer Science? → It ensures practices remain effective and relevant
22. Which type of neural network architecture is best suited for processing sequential data such as time series or text? → Recurrent Neural Network (RNN)
23. What is the purpose of version control in software development? → To track and manage changes in software projects
24. Which CPU scheduling algorithm provides the best average waiting time for a given set of processes? → Shortest Job First (SJF)
25. Which principle underpins Total Quality Management (TQM) in Computer Science? → Everyone in the organization is responsible for quality
26. In clustering, what criterion does the k-means algorithm optimize? → Minimizes the sum of squared distances from each point to its assigned cluster centroid
27. What is system integration in Computer Science technology? → Connecting different systems to work together seamlessly
28. Which approach best supports quality outcomes in DevOps & Deployment for Computer Science? → Systematic application of evidence-based methods
29. Which distance metric is most commonly used in k-Nearest Neighbors (kNN) for continuous features? → Euclidean Distance
30. What is a fundamental principle of Cloud Computing & Services in Computer Science practice? → Following established standards and best practices