QCE Digital Solutions Unit 2 Word Scramble: Data-Driven Problems and Solution Requirements (Modules 2–115)
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Word scramble
Unscramble the letters and write each key term on the line.
1
AEAV-DTINRD LRPEBOM
A problem whose solution depends on collecting, storing, processing and presenting data, such as keeping records or reporting results. Problems needing no data are not data-driven.
2
ETRTPAN CRIGNOOIENT
Spotting similarities or repeated features in sub-problems so that one solution can be reused for similar tasks, such as repeated data entry steps or similar record structures.
3
TPUIN RCNTLOO
An on-screen element, such as a text box, drop-down list, option button or checkbox, that lets users enter data. Each suits a different kind of data.
4
AADT OENTIAPENTSR
Showing data to users as a table, list, form, report or chart, chosen to suit the data and the user's task, and showing only the data they need.
5
UTOUTP MRRITEQENEU
A statement of what information a solution must produce, in what format and medium, for which audience, and how often it is produced.
6
OERRR AEETCNROL
An interface design quality where mistakes are prevented, reasonable input variations are accepted, and users can easily recover, such as with undo, confirmations and clear error messages.
7
EAASBADT
An organised store of data that organisations and governments can quickly search, share and update to give faster services, cut paper and errors, and inform decisions.
8
ADTA SUPXEREO SIRK
The more data a system keeps, the more harm if it is stolen or leaked. Extra stored data makes identity theft and misuse of that data more likely and more damaging.
Answer Key
QCE Digital Solutions Unit 2 · Modules 2–115
1AEAV-DTINRD LRPEBOM → data-driven problem — A problem whose solution depends on collecting, storing, processing and presenting data, such as keeping records or reporting results. Problems needing no data are not data-driven.
2ETRTPAN CRIGNOOIENT → pattern recognition — Spotting similarities or repeated features in sub-problems so that one solution can be reused for similar tasks, such as repeated data entry steps or similar record structures.
3TPUIN RCNTLOO → input control — An on-screen element, such as a text box, drop-down list, option button or checkbox, that lets users enter data. Each suits a different kind of data.
4AADT OENTIAPENTSR → data presentation — Showing data to users as a table, list, form, report or chart, chosen to suit the data and the user's task, and showing only the data they need.
5UTOUTP MRRITEQENEU → output requirement — A statement of what information a solution must produce, in what format and medium, for which audience, and how often it is produced.
6OERRR AEETCNROL → error tolerance — An interface design quality where mistakes are prevented, reasonable input variations are accepted, and users can easily recover, such as with undo, confirmations and clear error messages.
7EAASBADT → database — An organised store of data that organisations and governments can quickly search, share and update to give faster services, cut paper and errors, and inform decisions.
8ADTA SUPXEREO SIRK → data exposure risk — The more data a system keeps, the more harm if it is stolen or leaked. Extra stored data makes identity theft and misuse of that data more likely and more damaging.