MEM29008Analyse and manage data in cloud-based systems

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What an assessment for MEM29008 must cover

52 assessable components: 3 elements (19 performance criteria), 13 performance evidence and 20 knowledge evidence requirements. An audit-defensible tool maps every question and task back to these — that mapping is the coverage matrix Auditori generates alongside the assessment.

Elements & performance criteria

1 Manage data storage

  • 1.1Identify sources of data within the organisation
  • 1.2Identify big datasets useful for later data analytics and data intensive Industry 4.0 applications
  • 1.3Identify computing and network infrastructure used in the organisation to access cloud storage
  • 1.4Store, record, and access data according to organisational requirements
  • 1.5Apply data security and backup measures to manage risk in accordance with organisational risk management plan and procedures
  • 1.6Identify cyber security system alerts and take action according to workplace procedures
  • 1.7Identify and troubleshoot data discrepancies and anomalies
  • 1.8Work with relevant personnel to apply mitigation strategies for any identified data discrepancies and anomalies

2 Access and process data

  • 2.1Identify systems in use within the workplace to access and process data
  • 2.2Confirm protocols, permissions, and organisational requirements for accessing and processing data
  • 2.3Identify different levels of data access and permissions based upon cyber security and organisational requirements
  • 2.4Use system controls to interface with cloud
  • 2.5Locate and retrieve the required data according to organisational policies and procedures
  • 2.6Export data in appropriate format according to task and data system requirements

3 Analyse and interpret data

  • 3.1Identify data analysis tools and technologies in use at organisation
  • 3.2Assess quality and relevance of data based on task requirements
  • 3.3Analyse data to identify patterns, trends and relationships
  • 3.4Interpret patterns, trends or relationships in data to identify actionable insights
  • 3.5Record findings and insights and refer to appropriate personnel, according to organisational policies and procedures

Performance evidence

  • store and record data
  • systematically apply troubleshooting processes and techniques appropriate to the data source and data storage system to address data discrepancies and anomalies
  • locate, retrieve, and export data into appropriate format
  • analyse at least two workplace data sets to:
  • identify patterns, trends or relationships
  • identify actionable insights from data
  • record and report findings
  • use appropriate technical vocabulary in the preparation of data records and reports
  • apply self-management skills to work independently and as part of a team
  • apply technology skills to:
  • use data storage technology
  • access and retrieve data.
  • Note: Where a volume and/or frequency is not specified, demonstration must be provided at least once.

Knowledge evidence

  • numeracy skills to analyse and draw meaning from data
  • concept of big data and its application within the manufacturing industry, including:
  • the relationship between big data and smart data
  • data driven manufacturing
  • predictive maintenance
  • internet of things (IoT)
  • the difference between structured and unstructured data
  • cloud computing infrastructure relevant to data transmission and storage
  • types, functions, operations of systems used to access and process data including:
  • simple dataset access and processing
  • multiple dataset/big data secure transmission and access processes including availability of special and proprietary programs
  • data communication protocols for communication between sensors and cloud
  • data patterns, trends or relationships and their value in data analysis and data troubleshooting
  • troubleshooting processes and techniques relevant to data discrepancies and anomalies
  • standards, codes and regulations for:
  • protecting data against destruction, corruption and unauthorised distribution
  • data storage/retrieval, recordkeeping and backups
  • cyber security for cloud-based data
  • managing data risk
  • cyber security principles.

Unit content sourced from training.gov.au — © Commonwealth of Australia, licensed under CC BY 4.0. Auditori is not affiliated with the Department of Employment and Workplace Relations.

See what you get before you start

Real, unedited Auditori output (RIIHAN201E shown), branded for a sample RTO:

Questions about assessing MEM29008

What does an assessment tool for MEM29008 need to cover?

To satisfy the Principles of Assessment and Rules of Evidence, an assessment for MEM29008 needs to address all 52 unit components: 3 elements with 19 performance criteria, 13 performance evidence requirements, 20 knowledge evidence requirements, and the foundation skills. A coverage matrix mapping each question and task to these components is what an auditor looks for.

How does Auditori generate an assessment tool for MEM29008?

Auditori pulls the current release of MEM29008 from training.gov.au and generates a complete package: candidate assessment, assessor guide with model answers and observation criteria, and a coverage matrix mapping every component. A suitably qualified person then reviews and approves the draft in a built-in workflow — consistent with ASQA's guidance on AI use in VET — before export as branded PDF and editable Word.

Is the first assessment tool really free?

Yes. Every new account includes one free credit — enough to generate the complete assessment tool for MEM29008 — with no card and no subscription required. After that it's pay-as-you-go per unit.

Can I check my existing MEM29008 assessment instead of generating a new one?

Yes — upload your existing assessment or learner guide and Auditori maps it against every element, performance criterion, PE and KE of MEM29008, showing exactly what's covered and what's missing. Mapping costs a quarter of a credit.

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