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VCE Spreadsheets, SQL & Visualisation · Modules 45–54

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A free printable VCE Spreadsheets, SQL & Visualisation word scramble with 7 key terms, built from the key terms of Relational database structure and Querying data with SQL (Modules 45–54) — Importing a CSV file into a database table, Validation rules on database fields, SQL constraints for validation, What a database query is, SQL SELECT and FROM, SQL WHERE conditions and more. Print it or save it as a PDF — the answer key starts on its own page. No login needed.

VCE Spreadsheets, SQL & Visualisation Word Scramble: Relational database structure and Querying data with SQL (Modules 45–54)

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Word scramble

Unscramble the letters and write each key term on the line.

1
TIORMP SCV
Fills a new database table from a CSV file. The first row becomes the field names, and you choose a data type for each field, such as text or number, and check them after the import.
2
AIVALDIOTN ELUR
A rule set on a database field that checks each entry, such as a number range, a maximum text length or a drop-down list, and rejects any record that breaks the rule.
3
RYUEQ
A saved question asked of a table. It shows only the fields and records that answer it, as a new view, and leaves the original table unchanged.
4
EWHER
An SQL clause that keeps only the rows meeting a condition, such as ______ age >= 15 or ______ town = 'Perth'. Text goes in quotes, and AND or OR can combine conditions.
5
DNA / RO
AND needs both conditions to be true, like Year = 7 AND Score > 80. OR needs at least one to be true, like Pet = "Cat" OR Pet = "Dog". They let a query match several conditions at once.
6
ILKE "S*"
A query criterion where the * wildcard stands for any characters, so it finds text that starts with S. Like "*s" ends with s and Like "*at*" contains at.
7
ERRDO YB
Sorts the rows a SELECT query returns by a chosen field. It sorts A to Z or lowest to highest by default (ASC), or the reverse if you add DESC after the field name.

Answer Key

VCE Spreadsheets, SQL & Visualisation · Modules 45–54
1TIORMP SCV → Import CSV — Fills a new database table from a CSV file. The first row becomes the field names, and you choose a data type for each field, such as text or number, and check them after the import.
2AIVALDIOTN ELUR → validation rule — A rule set on a database field that checks each entry, such as a number range, a maximum text length or a drop-down list, and rejects any record that breaks the rule.
3RYUEQ → query — A saved question asked of a table. It shows only the fields and records that answer it, as a new view, and leaves the original table unchanged.
4EWHER → WHERE — An SQL clause that keeps only the rows meeting a condition, such as WHERE age >= 15 or WHERE town = 'Perth'. Text goes in quotes, and AND or OR can combine conditions.
5DNA / RO → AND / OR — AND needs both conditions to be true, like Year = 7 AND Score > 80. OR needs at least one to be true, like Pet = "Cat" OR Pet = "Dog". They let a query match several conditions at once.
6ILKE "S*" → Like "S*" — A query criterion where the * wildcard stands for any characters, so it finds text that starts with S. Like "*s" ends with s and Like "*at*" contains at.
7ERRDO YB → ORDER BY — Sorts the rows a SELECT query returns by a chosen field. It sorts A to Z or lowest to highest by default (ASC), or the reverse if you add DESC after the field name.

Modules this word scramble covers

Every module has its own free printable worksheet with an answer key, and students can practise the same terms interactively on Cloodit.

Part of: VCE Applied Computing - U1O1 - Data analysis, VCE Data Analytics - U3O1 - Data Analytics, VCE Data Analytics - U3O2 - Analysis and Design, 7-8 Digital Technologies: Acquiring, storing and validating data, 7-8 Digital Technologies: Analysing and visualising data, 9-10 Digital Technologies: Acquiring, storing and validating data, 9-10 Digital Technologies: Analysing and visualising data, IGCSE Computer Science 0478 — 9 Databases, ACARA Digital Technologies Years 7–8 — Structured Data and Queries, ACARA Digital Technologies Years 9–10 — Acquiring and Validating Data, ACARA Digital Technologies Years 9–10 — Entities, Relationships and Queries, QCE Digital Solutions Unit 2 — Data-Driven Problems and Solution Requirements, QCE Digital Solutions Unit 2 — Data and Programming Techniques, QCE Digital Solutions Unit 2 — Prototype Data Solutions, QCE Digital Solutions Unit 3 — Interactions Between Users, Data and Digital Systems, QCE Digital Solutions Unit 3 — Innovative Digital Solutions, QCE Digital Solutions Unit 4 — Prototype Digital Data Exchanges, WA Computer Science ATAR Year 11 — Data Management

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