Assessment and exam practice.

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1. Check the task format, time limit and permitted materials with your school.
2. Start with one timed section or task and record where you spent the most time.
3. Review errors before attempting another section. Separate missing knowledge from timing problems.

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Practice paper focus areas

• Exam 1 — RSA versus AES for a payment gateway; Data flow diagram of a click-and-collect service; Desk check of a JSON averaging algorithm
• Exam 2 — Vigenère and Gronsfeld cipher evaluation; Australian Privacy Principles in a gym access system; SQL with GROUP BY and HAVING
• Exam 3 — One-time pad algorithm in pseudocode; Hashing and salting stored passwords; XML structure for an event ticket
• Exam 4 — Data flow diagram for a library reservation system; Constraints on a volunteer-built app; Correcting errors in a Caesar cipher algorithm
• Exam 5 — JSON processing for an esports ladder; Risks to data availability during a DDoS attack; Packet switching and error detection
• Exam 6 — Symbolising a secure login with hashing; SQL inner joins on a sports club database; Desk checking a nested loop
• Exam 7 — REST API design for a weather service; Data integrity: completeness and consistency; Caesar versus one-time pad security
• Exam 8 — Gronsfeld cipher in pseudocode; Data flow diagram for a pharmacy e-script; Biometric authentication ethics
• Exam 9 — Data dictionary for a citizen-science bird survey; Validation of user inputs in pseudocode; VPN and HTTPS for remote workers
• Exam 10 — Explaining DFD relationships for a parcel locker system; Hash functions and checksums in file downloads; SQL sub-selection
• Exam 11 — Pseudocode to merge two JSON data sources; Risks in a hospital patient wristband system; XML versus JSON payload size
• Exam 12 — Vigenère encryption desk check; Data flow diagram for a sports registration portal; Authentication with verification codes
• Exam 13 — Constraints and success criteria for a fundraising app; Integrity risks from manual data entry; SQL UPDATE and ALTER statements
• Exam 14 — One-time pad data flow diagram; Ethics of facial recognition in retail; Pseudocode to calculate percentages from JSON
• Exam 15 — Data dictionary for an energy-use data set; Caesar cipher pseudocode with modulus; Recommending security strategies at exchange points
• Exam 16 — Data flow diagram for an online voting system; Australian Privacy Principles and consent; SQL GROUP BY and ORDER BY on results
• Exam 17 — Desk check of an XOR-based encryption; Network protocols for a file-sharing service; Completeness and consistency in sensor logs
• Exam 18 — Payment data exchange vulnerabilities; Pseudocode for input validation and error messages; Data flow diagram for a food bank stock system
• Exam 19 — Symmetric versus asymmetric key exchange; JSON API responses for a bus tracker; SQL inner join and HAVING
• Exam 20 — Gronsfeld versus Vigenère key strength; Data flow diagram for a clinic referral system; Correcting a one-time pad algorithm