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Evidence Guide: ICAPRG425A - Use structured query language

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

ICAPRG425A - Use structured query language

What evidence can you provide to prove your understanding of each of the following citeria?

Write a simple SQL statement to retrieve and sort data

  1. Retrieve all the data from a single table
  2. Retrieve data from specific columns in a single table
  3. 1.3 Use 'order by' to sort query output
Retrieve all the data from a single table

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieve data from specific columns in a single table

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

1.3 Use 'order by' to sort query output

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write an SQL statement that selectively retrieves data

  1. 2.1 Restrict the number of rows retrieved by placing criteria in the 'where' clause
  2. Restrict the number of rows retrieved by placing specific criteria in the select statement
  3. 2.3 Use comparison operators in the 'where' clause to compare numeric, character, string, date and time data
  4. Use Boolean operators with the correct precedence
  5. 2.5 Use criteria in the 'where' clause to check for a range of values, to select values from a list, and to check for values that match a pattern
  6. Use SQL syntax to suppress duplicate values from query results
  7. Take action to exclude null values from a query result
2.1 Restrict the number of rows retrieved by placing criteria in the 'where' clause

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Restrict the number of rows retrieved by placing specific criteria in the select statement

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

2.3 Use comparison operators in the 'where' clause to compare numeric, character, string, date and time data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use Boolean operators with the correct precedence

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

2.5 Use criteria in the 'where' clause to check for a range of values, to select values from a list, and to check for values that match a pattern

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use SQL syntax to suppress duplicate values from query results

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Take action to exclude null values from a query result

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write SQL statements that use functions

  1. Use arithmetical operators with the correct precedence
  2. Use string functions and operators to obtain the required query output
  3. Use mathematical functions to obtain the required output, where required
  4. Use date functions to obtain the required output
  5. Use SQL aggregate functions to obtain the required output
Use arithmetical operators with the correct precedence

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use string functions and operators to obtain the required query output

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use mathematical functions to obtain the required output, where required

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use date functions to obtain the required output

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use SQL aggregate functions to obtain the required output

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write SQL statements that use aggregation and filtering

  1. 4.1 Use 'group by' to aggregate data by multiple columns
  2. Sort aggregated data in the query output
  3. 4.3 Filter aggregated data using the 'having' clause
4.1 Use 'group by' to aggregate data by multiple columns

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Sort aggregated data in the query output

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

4.3 Filter aggregated data using the 'having' clause

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write SQL statements that retrieve data from multiple tables

  1. Employ the inner join syntax to retrieve data from two or more tables
  2. 5.2 Use 'left outer', 'right outer' and 'full outer' syntax to join tables in the select statement
  3. 5.3 Use correct syntax in the 'where' clause to retrieve data from multiple tables
  4. Write a union query that retrieves data from more than one table
Employ the inner join syntax to retrieve data from two or more tables

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

5.2 Use 'left outer', 'right outer' and 'full outer' syntax to join tables in the select statement

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

5.3 Use correct syntax in the 'where' clause to retrieve data from multiple tables

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write a union query that retrieves data from more than one table

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write and execute SQL sub-queries

  1. Construct single and nested sub-queries
  2. Construct sub-queries that return a single row and multiple rows
  3. Use correlated sub-queries to retrieve required data
  4. Write sub-queries that use aggregates
Construct single and nested sub-queries

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Construct sub-queries that return a single row and multiple rows

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use correlated sub-queries to retrieve required data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write sub-queries that use aggregates

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Create and manipulate tables

  1. Identify required columns, data types, keys, relationships, indexes and constraints
  2. Use relevant naming conventions for database elements
  3. Create tables that implement required elements
  4. Manipulate tables to meet specific requirements
Identify required columns, data types, keys, relationships, indexes and constraints

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use relevant naming conventions for database elements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Create tables that implement required elements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Manipulate tables to meet specific requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Create and use views

  1. Create views that satisfy information requirements
  2. Use check constraints in a view
  3. Retrieve, insert, update and delete data using a view
  4. Drop a view from a database
Create views that satisfy information requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use check constraints in a view

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieve, insert, update and delete data using a view

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Drop a view from a database

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Create and use stored procedures

  1. Create and execute stored procedures that use SQL to retrieve, insert or modify data according to information requirements
  2. Create and execute stored procedures that use one or more parameters
  3. Drop a stored procedure from the database
  4. Create and test database triggers that automate data management or perform specific required data-related functions
Create and execute stored procedures that use SQL to retrieve, insert or modify data according to information requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Create and execute stored procedures that use one or more parameters

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Drop a stored procedure from the database

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Create and test database triggers that automate data management or perform specific required data-related functions

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

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:

design a simple relational database

use SQL to create database structures, and store, retrieve and manipulate data in a relational database

create a variety of SQL queries to match client requirements

create and use views and stored procedures.

Context of and specific resources for assessment

Assessment must ensure access to:

client requirements

functionality and scope requirements

naming standards

SQL server and client software

networked computers

appropriate learning and assessment support when required

modified equipment 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 of required skills and knowledge

evaluation of an existing database created by the candidate.

Assessment needs to ensure that the database and queries were created by the candidate using SQL statements as outlined in this unit. It would not be appropriate for the candidate to create the database or queries using graphical tools that generate the required SQL statements.

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 non-English speaking background may need additional support.

In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge.

Required Skills and Knowledge

Required skills

analytical skills to evaluate business requirements to determine:

report and view requirements

required data objects and data structures

numeracy skills to use arithmetical operators and mathematical functions

planning and organisational skills to analyse and organise data according to business query and reporting requirements

problem-solving skills to:

troubleshoot SQL syntax errors

understand typical warnings and errors

technical skills to:

run data modelling, particularly during the design and development phases

write SQL queries.

Required knowledge

client-server concepts

data-integrity concepts

data-modelling structures

databases and database objects, including data types, data structures, identifiers and metadata

programming concepts

query design

relational database design

SQL client environment

SQL server architecture.

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.

Comparison operators may include:

equal to

greater than

greater than or equal to

less than

less than or equal to

not equal to.

Boolean operators may include the use of:

AND

NOT

OR.

Arithmetical operators may include:

addition

modulus division

multiplication

subtraction.

Mathematical functions may include:

cos

log

power

sin

square root.

Database may include:

Informix

Ingres

Microsoft SQL server

MySQDB2

Oracle

Postgre Structured Query Language (Postgre SQL)

Sybase.

Manipulating tables may include:

inserting rows into a table

updating some or all of the data in a table

adding columns to a table

modifying a column within a table

deleting a column from a table

deleting rows from a table

viewing detailed information regarding a table

deleting tables with regard to referential integrity rules.

Information requirements may include:

letters

other business documents required by the organisation

reports

summaries.