Building and operating digital systems.
Answer five questions about Computing and get instant feedback.
A measurable detail about an example, like height, word count, or pixel brightness
Good models often work best after feature engineering, where you transform raw measurements into more useful ones, like turning timestamps into day-of-week or scaling pixel values for consistency.
What moves data from where it is created to where it is used?
Many data pipelines do more than move data, they also clean it, convert formats, and check quality on the way, like turning raw app clicks into a daily report.
Anything that could cause harm to an information system
Threats can be human or non-human: a hacker, a careless employee, malware, or even a power outage, and they matter most when they can actually exploit a weakness.
A data model makes some questions easy to express and makes others awkward.
Picking a model is a trade-off: relational tables make joins and ad-hoc queries easy, while graph models make multi-hop relationship queries natural but can make aggregations feel clunky.
This image question appears in the interactive quiz.
Data pipelines turn raw inputs into usable data through repeated movement, cleaning, and transformation.
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