CIPS L6M7 Exam Details & Actual Exam Questions
- Exam Code/Number: L6M7
- Exam Name/Title: Commercial Data Management
- Certification Provider: CIPS
- Corresponding Certification: CIPS Level 6 Professional Diploma
- Exam Questions: 85
- Updated On: Jul,15 2026
- Certification Level: Professional
CIPS Commercial Data Management Exam Questions
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(21 Up Votes)CIPS L6M7 Exam Overview:
| Certification Vendor: | CIPS |
| Exam Name: | Commercial Data Management |
| Exam Number: | L6M7 |
| Certificate Validity Period: | Valid for life (no expiry) |
| Related Certifications: | MCIPS (Chartered Procurement and Supply Professional) |
| Exam Format: | Multiple choice, Drag-and-drop, Case-based objective questions |
| Available Languages: | English |
| Passing Score: | 50% |
| Exam Price: | £180–£220 / $230–$280 |
| Real Exam Qty: | 75–85 |
| Exam Duration: | 90 minutes |
| Sample Questions: | CIPS L6M7 Sample Questions |
| Exam Way: | Online remote proctored or in-person at authorized centres |
| Pre Condition: | CIPS Level 5 Advanced Diploma in Procurement and Supply; or relevant experience with exemptions |
| Official Syllabus URL: | https://www.cips.org/exam-booking/l6m7-commercial-data-management-elective |
CIPS L6M7 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Integrity, Governance and Compliance | 35% | - Legal and regulatory requirements: GDPR, data protection, IPR - Ethics and confidentiality in commercial data handling - Principles of data integrity, accuracy and quality - Data governance frameworks and policies |
| Topic 2: Cyber Security and Risk Management | 20% | - Threats and vulnerabilities in supply chain data systems - Cyber security controls, protection and resilience - Incident response and data breach management |
| Topic 3: Concept of Big Data in Procurement and Supply | 30% | - Sources and types of commercial data - Role and value of big data in supply chain performance - Data-driven decision-making and strategic advantage - Definition and characteristics of big data (3Vs/5Vs) |
| Topic 4: Data Analysis, Tools and Digital Transformation | 15% | - Use of AI, blockchain and visualization tools - Digital platforms and real-time data exchange - Analytical techniques: descriptive, predictive, prescriptive |
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