§-Digital Solutions Q&A
QLD · QCAA← Digital Solutions
Digital Solutions Q&A by dot point
A short Q&A bank for every QLD Digital Solutions syllabus dot point. Each question and answer is drawn directly from our worked dot-point page, so you can scan key concepts before opening the long-form answer.
Unit 3: Digital innovation
Represent algorithms using pseudocode and structured English, applying sequence, selection and iteration, and trace them with a desk check to verify correctness before coding
Select and use appropriate data structures, including variables, one-dimensional arrays and lists, and records, to organise and manipulate data within a programmed solution
Design and implement data validation that checks input for type, range, presence and format so that only valid data enters the solution, protecting data integrity
Design a normalised relational database with primary and foreign keys and appropriate data types, and query it with SQL using SELECT, WHERE, JOIN, ORDER BY and aggregate functions
Recognise and describe the components of a digital solution and the interactions between users, data and digital systems, including the role of innovation in creating new opportunities
Code programming constructs including variables, data types, operators, control structures, functions and arrays to implement an algorithm as a working, testable digital solution
Identify and specify the functional and non-functional requirements, constraints and data requirements of a real-world problem to define the scope of a digital solution
Apply a structured design process of exploring, generating, producing and evaluating to develop a digital solution from a real-world problem
Apply user-centred design and usability principles to design and evaluate a user interface, considering accessibility, user experience and the needs of the target audience
Apply usability principles and accessibility standards, including WCAG, to evaluate and improve the user experience of a digital solution for a diverse range of users
Unit 4: Digital impacts
Identify and specify the functional, security and data requirements of a complex data exchange problem, including the systems involved, the data exchanged and the conditions for reliable exchange
Explain how lossless and lossy data compression reduce the size of data for efficient storage and transmission, and the trade-offs each makes
Represent the design of a data exchange using data exchange diagrams, IPO tables and pseudocode to communicate how data moves and is processed between systems
Explain how data is exchanged between digital systems using structured formats such as JSON and XML, application programming interfaces (APIs) and network protocols, and the conditions required for reliable exchange
Explain and apply data security techniques including encryption (symmetric and asymmetric), hashing, authentication and secure transmission to protect data confidentiality, integrity and availability
Explain how hashing, checksums and authentication are used to verify the integrity and authenticity of data during storage and transmission
Explain how network protocols, including TCP/IP and HTTP/HTTPS, package, address, route and reassemble data so that it is transmitted reliably between digital systems
Evaluate the privacy, legal and ethical impacts of collecting, storing and exchanging personal data, applying privacy principles and considering the social consequences of digital solutions
Develop, test and evaluate a prototype that exchanges data between digital systems, applying iterative development, validation and a structured test plan against the solution requirements
Design and apply testing strategies, including test data and test cases, to verify a prototype against its requirements, and evaluate the solution using justified criteria