Assessor Resource

ICAPRG403A
Develop data-driven applications

Assessment tool

Version 1.0
Issue Date: April 2024


This unit applies to those who work as programmers or database application developers who are responsible for data-access coding.

The context of the unit applies to different types of data-access methods, such as data retrieval and storage, back-end coding, disconnect data management, and reading and writing XML documents.

This unit describes the performance outcomes, skills and knowledge required to create data-driven applications that access data from a range of sources, such as databases, object data sources or eXtensible markup language (XML).

You may want to include more information here about the target group and the purpose of the assessments (eg formative, summative, recognition)

Prerequisites

Not applicable.

Employability Skills

This unit contains employability skills.



Evidence Required

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.

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 and code the data-access layer of multi-layer applications

retrieve and update data from various data sources.

Context of and specific resources for assessment

Assessment must ensure access to:

integrated development environment (IDE)

data access APIs

database management system software

database files

coding standard

specific tools and licences, depending on particular data-access API

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:

review of candidate’s DAL design

evaluation of candidate’s data-access management strategy

verbal or written questioning to assess candidate’s knowledge of:

multi-layer applications

database access.

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.

Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assingnment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)

Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

Required skills

analytical skills to design complex multi-layer application model

communication skills to interact with developer to ensure proper implementation

learning skills to investigate potential new techniques to access data from various resources

literacy skills to:

read and interpret database design document

read basic technical data

problem-solving skills to develop and refine strategies to access data sources

technical skills to:

create code for the data-access layer

create structured query language (SQL) commands to select, insert, update or delete data

test and debug code.

Required knowledge

features of:

object-oriented design and multi-layer applications

relational database management systems

object-oriented programming at an intermediate level

SQL at a basic level.

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.

Multi-layer application may include:

business logic layer (BLL)

data-access layer (DAL)

user interface layer (UI).

Data-access application programming interface may relate to:

object-oriented set of libraries used to interact with data sources:

active data objects (ADO.NET)

ADO.NET Entity Framework

Java database connectivity (JDBC)

language integrated query (LINQ).

Data source may include:

databases:

Microsoft SQL server

MySQL

Oracle

Postgre Structured Query Language (Postgre SQL)

fat-files database

internal data

object data sources

XML database.

Data providers may include:

managed providers

Microsoft object linking and embedding (OLE) DB

native providers

open database connection (ODBC)

SQL client

third-party providers.

Query data may include:

access input and output parameters and return values

access stored procedures

create command objects.

Data integrity may include:

cascading deletes

cascading updates

constraints.

Disconnected data may include:

DataSet

DataTable

service data objects (SDO).

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
Design DAL in a multi-layer application model 
Determine data-access application programming interface (API) for connecting to various data sources 
Create and manage connection strings 
Connect to a data source by using different data providers 
Create code to handle connection exceptions 
Query data from the data source 
Retrieve data from the data source as result sets 
Manage result sets 
Manage exceptions when retrieving data 
Insert, update or delete data 
Manage data integrity 
Manage exceptions when modifying data 
Research a disconnected data management strategy 
Ensure that application can deal with disconnected data 
Document the code 
Document database connectivity 

Forms

Assessment Cover Sheet

ICAPRG403A - Develop data-driven applications
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

Feedback to student

 

 

 

 

 

 

 

 

Assessor name:

Signature:

Date:

Assessment Record Sheet

ICAPRG403A - Develop data-driven applications

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: