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100+ Free CIPS Level 6 Professional Diploma Practice Questions
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A procurement team identifies that a key supplier has patented a novel process that could reduce the buyer's manufacturing costs by 20%. The team recommends pursuing a co-development agreement. Which innovation risk is most important to address in the agreement?
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2026 Statistics
Key Facts: CIPS Level 6 Professional Diploma Exam
70%
Pass Mark (OR Modules)
CIPS Level 6 Professional Diploma qualification page
1.5 hrs
Exam Duration per OR Module
CIPS Level 6 Professional Diploma qualification page
7
Modules for Full Diploma
CIPS Level 6 Professional Diploma structure (4 core + 3 electives)
5×/year
Annual Exam Sittings
CIPS exam calendar (March, May, July, September, November)
Mar 2026
V2 Syllabus Effective From
CIPS Level 6 V2 syllabus update announcement
CIPS states that Level 6 OR elective modules are 1.5-hour computer-based multiple-choice exams with a 70% pass mark. The Version 2 syllabus applies from March 2026 onwards. Core modules L6M1–L6M5 are essay-assessed and not covered by this MCQ practice bank. CIPS does not publish question counts per OR module publicly (L6M11 is confirmed at 60 questions); examFee and question count fields reflect what CIPS publicly discloses.
Sample CIPS Level 6 Professional Diploma Practice Questions
Try these sample questions to test your CIPS Level 6 Professional Diploma exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.
1A procurement analyst wants to combine structured ERP transactional data with unstructured supplier social-media sentiment feeds. Which characteristic of big data best describes the challenge this combination creates?
A.Variety — data comes in multiple formats that must be integrated
B.Volume — the sheer number of records exceeds storage capacity
C.Velocity — data arrives faster than existing systems can process
D.Veracity — data cannot be trusted due to source anonymity
Explanation: Variety refers to the diversity of data types and formats — structured database records, unstructured text, images, and social feeds — that must be reconciled to produce coherent insight. Integrating ERP transactional data with unstructured social sentiment is a classic variety challenge in big-data procurement analytics.
2Under the UK GDPR, which principle requires that personal data collected from suppliers' employees during a sourcing exercise should not be retained indefinitely after the contract is awarded?
A.Storage limitation
B.Data minimisation
C.Integrity and confidentiality
D.Purpose limitation
Explanation: The storage limitation principle under UK GDPR states that personal data must be kept in a form that permits identification of data subjects for no longer than is necessary for the purposes for which it is processed. Retaining supplier personnel data beyond the sourcing decision without a lawful basis breaches this principle.
3A procurement team implements a spend-analytics dashboard that automatically flags anomalies in purchase order patterns. Which type of analytics is the dashboard using when it identifies outliers without human instruction?
A.Descriptive analytics
B.Diagnostic analytics
C.Predictive analytics
D.Prescriptive analytics
Explanation: Predictive analytics uses statistical algorithms and machine learning to identify patterns and forecast outcomes or anomalies before they are confirmed. Automated anomaly detection on purchase-order streams applies predictive models to flag deviations from expected behaviour without manual investigation.
4Which practice is the foundation of master data management (MDM) in a procurement context?
A.Maintaining a single authoritative record for key business entities such as suppliers, items, and contracts
B.Storing copies of all transactional data in a data warehouse for historical reporting
C.Encrypting all procurement records to prevent unauthorised access
D.Distributing data entry responsibilities across all procurement team members equally
Explanation: Master data management creates and maintains a single, trusted source of record for core business entities — supplier master, material master, contract master — across all systems. This eliminates duplicate or conflicting data and is the prerequisite for reliable spend analysis, supplier performance, and compliance reporting.
5A global food manufacturer discovers that a tier-2 supplier's quality data, accessed via an electronic data interchange (EDI) link, has been manipulated to conceal non-conformances. Which cyber-security threat does this represent?
A.Data integrity attack
B.Denial-of-service attack
C.Phishing
D.Social engineering
Explanation: A data integrity attack involves unauthorised modification of data to deceive or conceal information. Manipulating quality records transmitted via EDI to hide non-conformances is a deliberate alteration of data accuracy, which is the defining characteristic of an integrity attack in a supply chain cyber-security context.
6Which data quality dimension is most directly compromised when two procurement systems hold different purchase prices for the same supplier-item combination?
A.Completeness
B.Timeliness
C.Consistency
D.Accessibility
Explanation: Consistency means that data values are the same across all systems and data sets that reference the same entity. When two systems disagree on the price for the same supplier-item pair, the data is inconsistent, making it unreliable for spend analysis or contract compliance checks.
7An organisation implements a data-resilience strategy that replicates procurement system data to a geographically separate data centre every 15 minutes. Which resilience concept does this primarily support?
A.Recovery Point Objective (RPO)
B.Recovery Time Objective (RTO)
C.Mean Time Between Failures (MTBF)
D.Disruption Tolerance Network
Explanation: Recovery Point Objective (RPO) is the maximum acceptable amount of data loss measured in time; it defines how old a recovery point can be. Replicating data every 15 minutes sets an RPO of up to 15 minutes — meaning no more than 15 minutes of procurement transactions would be lost in a failure event.
8A category manager uses a spend-cube model to analyse procurement expenditure. Which combination of dimensions is the spend cube most commonly built around?
A.Supplier, commodity/category, and business unit
B.Country, incoterm, and payment term
C.Buyer name, order date, and delivery lead time
D.Risk rating, contract type, and ESG score
Explanation: The spend cube — a multi-dimensional data structure — is typically configured around three primary axes: supplier, commodity or category, and business unit. This configuration lets procurement analyse spend from every angle: how much is spent with each supplier, in which categories, and by which part of the business.
9Under which circumstances is it most appropriate for a procurement function to employ a Chief Data Officer (CDO) or equivalent data-governance role?
A.When data-driven decisions are strategic and cross-functional data quality is material to commercial outcomes
B.When the organisation uses fewer than three procurement systems
C.When all suppliers provide data in a single standardised format
D.When procurement spending is below a threshold that justifies analytics investment
Explanation: A CDO or data-governance leader becomes valuable when procurement data spans multiple systems and business units, data quality failures have commercial consequences (e.g., incorrect spend classification, contract leakage), and analytics is embedded in category strategy. The role provides accountability and stewardship at enterprise scale.
10A procurement director wants to use predictive modelling to forecast commodity price movements six months ahead. Which data source is LEAST likely to add predictive value?
A.Historical spot prices and futures market data
B.Macroeconomic indicators such as PMI and currency exchange rates
C.Internal purchase order transaction history by line-item description
D.Climatic forecasts for geographies where key raw materials originate
Explanation: Internal PO transaction history records what the organisation bought and at what price historically, but it does not contain exogenous market signals that drive future commodity prices. Spot prices, futures, macroeconomic indicators, and climate data all provide forward-looking or market-level information that models need; internal PO text descriptions do not.
About the CIPS Level 6 Professional Diploma Practice Questions
Verified exam format metadata for CIPS Level 6 Professional Diploma in Procurement and Supply is pending. The practice questions above remain available while official exam length, timing, passing score, fee, and administrator details are reviewed.