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Elements and Performance Criteria

1. Identify SQL requirements from the specification documentation
   • Determine information to be used from database
   • Identify tables that hold this information
   • Identify primary keys in these tables
   • Identify relationships between these tables, including foreign keys
2. Create a relational database
   • Create tables in a database using SQL statements
   • Identify primary and foreign keys for database table
   • Manipulate data in a database using SQL statements
   • Query the database using SQL statements
   • Write SQL statements to retrieve information from database
3. Test SQL results
   • Construct test data to test SQL statements
   • Construct expected results to verify SQL statements
   • Verify result of the constructed SQL statements against expected results

Required Skills

Required skills

analytical skills to determine the elements of the SQL statement

communication skills to

document the code

understand the client requirements

learning skills to research encountered problems independently

literacy skills to create an SQL statement using syntax

planning and organisational skills to write an SQL statement that is crossbrowser compatible

problemsolving skills to translate the required outcomes from the database into SQL statements

technical skills to

apply programming concepts

integrate SQL statements into a variety of serverside languages

Required knowledge

features and application of

aggregate functions

MIN

MAX

SUM

AVG

COUNT

COUNT

clause

GROUP BY

HAVING

ORDER BY

dates and times

SQL data types

numbers

text

SQL syntax

SELECT

FROM

WHERE

LIKE

DISTINCT

CREATE

ALTER TABLE

INSERT INTO

UPDATE

DELETE

DROP

combining condition and Boolean operators

IN and BETWEEN conditional operators

mathematical operators

table joins

Evidence Required

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria required skills and knowledge range statement and the Assessment Guidelines for the Training Package

Overview of assessment
Critical aspects for assessment and evidence required to demonstrate competency in this unit	Evidence of the ability to use SQL to create databases and tables query one or more tables to provide required data add modify and delete records from tables drop databases and tables
Context of and specific resources for assessment	Assessment must ensure access to development environment server access database server appropriate learning and assessment support when required Where applicable physical resources should include equipment modified for people with special needs
Method of assessment	A range of assessment methods should be used to assess practical skills and knowledge The following examples are appropriate for this unit verbal or written questioning to assess candidates knowledge of SQL statements and procedures review of projectbased SQL application prepared by candidate
Guidance information for assessment	Holistic assessment with other units relevant to the industry sector workplace and job role is recommended where appropriate Assessment processes and techniques must be culturally appropriate and suitable to the communication skill level language literacy and numeracy capacity of the candidate and the work being performed Indigenous people and other people from a nonEnglish speaking background may need additional support In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge

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Range Statement

The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.

Database may include:	Access Informix Microsoft Structured Query Language (MS SQL) MySQL Oracle Postgre Sybase.
SQL statements may include:	aggregate functions conditions and Boolean operators conditional operators mathematical operators table joins.
Manipulating data may include:	creating tables and rows deleting tables and rows adding and altering data retrieving data.

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