10 CT Analysing Data Wk4 PostQuiz

Which Australian legislation establishes mandatory notification for serious data breaches affecting personal information?

• Spam Act 2003

• Notifiable Data Breaches (NDB) scheme in the Privacy Act 1988

• Copyright Act 1968

• Data Availability and Transparency Act 2022

The term “algorithmic bias” refers to:

• Random errors in large databases

• A systematic distortion in outputs caused by training data or model design

• A method of encrypting personal data

• A legal framework for cross-border data transfer

An analyst wants to publish a data dashboard that combines de-identified health records with census data. Which principle of the Australian Privacy Principles (APPs) is most relevant to assessing re-identification risk?

• APP 3 – Collection of solicited personal information

• APP 5 – Notification of collection

• APP 11 – Security of personal information

• APP 12 – Access to personal information

A company decides to keep customer location data indefinitely for “future insights.” The primary ethical concern is:

• Data minimisation and purpose limitation

• Data normalisation

• Referential integrity

• Server-side scripting efficiency

Which of the following best illustrates “informed consent” in data analytics?

• Users are tracked automatically when they open an app

• A privacy policy is buried in a 50-page PDF

• A clear opt-in pop-up explains what data are collected and why, with an easy opt-out

• Data are anonymised after use

The rapid growth of streaming IoT sensor data primarily pushed the field toward:

• Relational databases only

• Batch processing using mainframes

• Real-time analytics and edge computing

• Punch-card analysis techniques

Which development most enabled self-service business intelligence (BI) for non-technical users?

• COBOL compilers

• Drag-and-drop visual analytics platforms

• Magnetic-tape storage

• Assembly language macros

Early 20th-century statisticians like Ronald Fisher contributed mainly to:

• Cloud-based data lakes

• The development of statistical methods

• Quantum computing algorithms

• Blockchain technology

The emergence of open-source programming languages such as R and Python chiefly addressed which evolving need?

• Proprietary licensing for statistical models

• Accessible, community-driven tools for scalable analysis

• Better fax-machine compatibility

• Paper-based record keeping

"Explainable AI" (XAI) tools have become more prominent because:

• Deep-learning models are always entirely interpretable by default

• Stakeholders demand transparent reasoning behind automated decisions

• Hardware prices have risen sharply

• Spreadsheet macros no longer work on mobile devices