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Evidence Guide: ICAICT504A - Confirm transition strategy for a new system

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

 

ICAICT504A - Confirm transition strategy for a new system

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

Confirm delivery and acceptance plan

  1. Confirm phased delivery with the client and project team
  2. Confirm method of acceptance and acceptance criteria
  3. Confirm that acceptance test plan is in place and agreed
Confirm phased delivery with the client and project team

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm method of acceptance and acceptance criteria

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm that acceptance test plan is in place and agreed

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm data take-up plan

  1. Identify the data source for each database
  2. Analyse possible integrity constraints
  3. Design the data conversion workflow, taking into consideration data validation, data clean-up and data loading
  4. Identify interface requirements, data take-up method, complexity and effort required
  5. Develop required data conversion contingencies and confirm with appropriate person
Identify the data source for each database

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Analyse possible integrity constraints

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Design the data conversion workflow, taking into consideration data validation, data clean-up and data loading

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify interface requirements, data take-up method, complexity and effort required

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Develop required data conversion contingencies and confirm with appropriate person

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm cutover plan

  1. Agree on the conversion window in operational timescale with appropriate person
  2. Plan and confirm parallel running with appropriate person
  3. Confirm approval of dependencies with appropriate person
  4. Confirm approval of fall-back options with appropriate person
  5. Confirm approval of checkpoints, tests and responsibilities with appropriate person
  6. Confirm approval of resources, tasks and timescales with appropriate person
Agree on the conversion window in operational timescale with appropriate person

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Plan and confirm parallel running with appropriate person

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm approval of dependencies with appropriate person

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm approval of fall-back options with appropriate person

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm approval of checkpoints, tests and responsibilities with appropriate person

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm approval of resources, tasks and timescales with appropriate person

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:

refine the transition strategy in the light of technical information and change-management plans

confirm acceptance plan

develop a data take-up plan

confirm cutover plan.

Context of and specific resources for assessment

Assessment must ensure access to:

IT specifications

change-management plan

acceptance test plan

IT security assurance specifications

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:

direct observation of candidate developing required data conversion contingencies

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

interpreting software specifications

cut over and test network equipment.

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 interpret system transition plans

communication skills to liaise with client and technical staff to ensure requirements are known and can be met within timeframes

literacy skills to interpret technical specifications and related documentation

planning and organisational skills to manage data transition and data storage planning

research skills to specify, analyse and evaluate broad features of a particular business domain and best practice in data transition

technical skills to:

analyse data

design data conversion workflow

identify data source for each database.

Required knowledge

conversion strategies

current business practices related to transition strategies

cut-over strategies

post-converging strategies.

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.

Client may include:

employees

external organisations

individuals

internal departments.

Project team may include:

different businesses working in partnership

individual business analysts

solution developers and business clients working together

third-party solution developers working together.

Acceptance criteria may include:

cost implications

logistical considerations

technical

timeframe.

Database may include:

object-relational databases

proprietary databases and commercial off-the-shelf (COTS) database packages

relational databases.

Constraints may include:

budget

hardware

legal constraints

policy

resource

software

time.

Requirements may refer to:

business

network

people in the organisation

system.

Appropriate person may include:

authorised business representative

client

supervisor.