List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.
ELEMENT | PERFORMANCE CRITERIA |
Elements describe the essential outcomes. | Performance criteria describe the performance needed to demonstrate achievement of the element. |
1. Write a simple SQL statement to retrieve and sort data | 1.1 Retrieve all the data from a single table 1.2 Retrieve data from specific columns in a single table 1.3 Use 'order by' to sort query output |
2. Write an SQL statement that selectively retrieves data | 2.1 Restrict the number of rows retrieved, by placing criteria in the 'where' clause 2.2 Restrict the number of rows retrieved, by placing specific criteria in the select statement 2.3 Use comparison operators in the 'where' clause to compare numeric, character, string, date and time data 2.4 Use Boolean operators with the correct precedence 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 2.6 Use SQL syntax to suppress duplicate values from query results 2.7 Take action to exclude null values from a query result |
3. Write SQL statements that use functions | 3.1 Use arithmetical operators with the correct precedence 3.2 Use string functions, and operators, to obtain the required query output 3.3 Use mathematical functions to obtain the required output 3.4 Use date functions to obtain the required output 3.5 Use SQL aggregate functions to obtain the required output |
4. Write SQL statements that use aggregation and filtering | 4.1 Use 'group by' to aggregate data by multiple columns 4.2 Sort aggregated data in the query output 4.3 Filter aggregated data using the 'having' clause |
5. Write SQL statements that retrieve data from multiple tables | 5.1 Employ the inner join syntax, to retrieve data from two or more tables 5.2 Use 'left outer', 'right outer' and 'full outer' syntax, to join tables in the select statement 5.3 Use correct syntax in the 'where' clause, to retrieve data from multiple tables 5.4 Write a union query that retrieves data from more than one table |
6. Write and execute SQL sub-queries | 6.1 Construct single and nested sub-queries 6.2 Construct sub-queries that return a single row and multiple rows 6.3 Use correlated sub-queries to retrieve required data 6.4 Write sub-queries that use aggregates |
7. Create and manipulate tables | 7.1 Identify the required columns, data types, keys, relationships, indexes and constraints 7.2 Use the relevant naming conventions for database elements 7.3 Create tables that implement the required elements 7.4 Manipulate tables to meet specific requirements |
8. Create and use views | 8.1 Create views that satisfy information requirements 8.2 Use check constraints in a view 8.3 Retrieve, insert, update, and delete data using a view 8.4 Drop a view from a database |
9. Create and use stored procedures | 9.1 Create and execute stored procedures that use SQL to retrieve, insert, or modify data, according to information requirements 9.2 Create and execute stored procedures, that use one or more parameters 9.3 Drop a stored procedure from the database 9.4 Create and test database triggers that automate data management, or perform specific required data-related functions |
Evidence of the ability to:
write a simple, structured query language (SQL) statement to retrieve and sort data
write an SQL statement that selectively retrieves data
write SQL statements that:
use functions and operators
use aggregation and filtering
retrieve data from multiple tables
write and execute SQL sub-queries
create and manipulate tables to meet specific requirements
create and use views that satisfy information requirements
create and use stored procedures.
Note: If a specific volume or frequency is not stated, then evidence must be provided at least once.
To complete the unit requirements safely and effectively, the individual must:
explain client-server concepts
explain data-integrity concepts
describe data-modelling structures
explain databases and database objects, including data types, data structures, identifiers and metadata
summarise programming concepts
give an overview of query design
give an overview of relational database design
describe the SQL client environment
describe the SQL server architecture.
Gather evidence to demonstrate consistent performance in conditions that are safe and replicate the workplace. Noise levels, production flow, interruptions and time variances must be typical of those experienced in the programming and software development, and include access to:
special purpose tools, equipment and materials
industry software packages.
Assessors must satisfy NVR/AQTF assessor requirements.