Confirm your understanding of the data literacy concepts every modern BA needs — schemas, data quality, and data requirements.
What you’ll be tested on
How to read a basic database schema — tables, primary keys, foreign keys, null constraints
The 5 dimensions of data quality: Accuracy, Completeness, Consistency, Timeliness, Uniqueness
How to write data requirements within user stories (format, validation, error handling)
Data governance basics: access control, retention rules, data owners
Privacy obligations in ANZ — Privacy Act 2020 (NZ) and Australian Privacy Act 1988
Quick tips
Data literacy questions are often “applied” — given a scenario, identify which data quality dimension is at risk or what requirement is missing
You don’t need to know SQL or programming to answer these — focus on the concepts and their business implications
Privacy questions will always ask you to consider customer data — err on the side of caution in your answers
0 of 5 Questions completed
Questions:
You have already completed the quiz before. Hence you can not start it again.
Quiz is loading…
You must sign in or sign up to start the quiz.
You must first complete the following:
Your time:
Time has elapsed
You have reached 0 of 0 point(s), (0)
Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)
A dashboard shows a "conversion rate of 12%". Which question should a BA ask first?
In a database schema, what is a foreign key?
"New Zealand", "NZ" and "nz" are used for the same country in different systems. Which data quality dimension does this affect?
Which of these is a red flag when reading a BI dashboard?
Why should requirements for AI-generated content include human validation rules?
