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OCEB 2 Fund. · OMG · Process Quality, Governance & Metrics · Bank updated 2026-07-02

OCEB 2 Fund. practice questions: Process Quality, Governance & Metrics

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These 5 questions come from the Process Quality, Governance & Metrics section of our OCEB 2 Fund. bank (120 questions on this area). Every question is original, with the correct answer explained and linked to the source it is drawn from.

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1/5 · Process Quality, Governance & Metrics
A BPM team analyzing customer onboarding first documents how the process is currently performed, including manual handoffs between the sales and operations departments and a two-day approval delay. After identifying these issues, the team creates a second model that automates the handoffs and removes the delay. What are these two models called, in order?
ATo-be model, then as-is model
BConceptual model, then physical model
CDiscovery model, then governance model
DAs-is model, then to-be model
Show answer & explanation
D is correct. Documenting the current, real-world way of working produces an 'as-is' model, which is then used as the basis for designing an improved 'to-be' model. This as-is/to-be pairing is central to process improvement projects.
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2/5 · Process Quality, Governance & Metrics
In the BPM lifecycle, the 'Monitor and Control' stage primarily involves which of the following activities?
ADeploying the process definition to an execution engine for the first time
BSelecting which employees will be trained on the new process
CCreating the initial as-is process model
DMeasuring running process instances against defined metrics/KPIs and detecting deviations from expected performance
Show answer & explanation
D is correct. The Monitor/Control stage closes the loop between execution and improvement: it tracks actual process performance against defined metrics/KPIs, surfaces variances or exceptions, and provides the data needed for the subsequent Optimize stage.
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3/5 · Process Quality, Governance & Metrics · hard
An invoice-processing instance has a total elapsed cycle time of 10 hours, of which only 2 hours involve activity that directly adds value for the customer (the remainder is queue or wait time). What is the process cycle efficiency (PCE) for this instance?
A200%
B20%
C2 hours
D80%
Show answer & explanation
B is correct. Process cycle efficiency is calculated as value-added time divided by total cycle time. Here, 2 of the 10 hours are value-added, giving a PCE of 20%, meaning 80% of the elapsed time is non-value-added wait time — a common target for process improvement.
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4/5 · Process Quality, Governance & Metrics
What is the primary purpose of value stream mapping within a Lean improvement initiative?
ATo document customer requirements as critical-to-quality characteristics for a project charter
BTo visualize the end-to-end flow of materials and information for a process, distinguishing value-added steps from non-value-added (waste) steps, in order to redesign the flow
CTo calculate a numeric sigma level representing how many defects per million opportunities a process produces
DTo define statistical control limits for a process's key output metric
Show answer & explanation
B is correct. Value stream mapping is a core Lean tool for seeing the whole flow of a process — including both material and information movement — so that non-value-adding steps can be identified and removed when designing an improved future state.
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5/5 · Process Quality, Governance & Metrics
What is the main purpose of process simulation during process design?
ATo predict how a proposed process design will perform — for example cycle time, throughput, resource utilization, and bottlenecks — under varying conditions before it is implemented
BTo provide historical audit trails of completed process instances for compliance reporting
CTo route live customer transactions through the fastest available server
DTo automatically generate executable code for the process engine from a BPMN diagram
Show answer & explanation
A is correct. Process simulation lets analysts test a proposed design against varying loads and resource assumptions before deployment, revealing bottlenecks or capacity issues while changes are still cheap to make. It is distinct from code generation, historical auditing, and live transaction routing.
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