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| Section | Weight | Objectives |
|---|---|---|
| Plan and Configure | 26% | - Component setup and configuration - Best practices for component usage - Architecture, deployment and consumption models |
| Integration | 21% | - External integration options - Integration between internal products |
| Overview and Capabilities | 31% | - Foundational services - Value proposition of Cloud Pak for Business Automation - Common tools - Process Mining capability - Document Processing capability - Decision Management capability - Content Services capability - Robotic Process Automation capability - Workflow capability - Insights capability |
| Business Requirements and Use Cases | 22% | - Understanding business requirements - Selecting appropriate components for requirements and use cases |
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質問 # 59
Which statement describes the practice of Process Mining?
正解：C
質問 # 60
Which is a common activity when developing a Business Automation Workflow (BAW) project?
正解：C
解説：
The correct answer is C: Create task model artifacts. Business Automation Workflow projects are collections of artifacts used to solve business process and case-management problems. In BAW, tasks are core workflow constructs because work is decomposed into human tasks, participating tasks, case activities, process activities, services, and related assignment logic. A BAW project is a set of artifacts that share the same lifecycle and are grouped to solve a business problem. Task-model creation in BAW Advanced allows task templates or task instances to be built from task model classes and associated artifacts, supporting human or participating task execution. Option A is plausible because service flows are also developed in BAW, but the exam item focuses on the common workflow-project activity most aligned with BAW's task-centric modeling capability. Option B belongs to decision modeling, typically ADS or DMN-oriented rather than BAW project development. Option D is not a standard phrasing for BAW development; KPIs are associated with monitoring and analytics rather than service artifact creation. Reference/topics: Business Automation Workflow projects, task artifacts, human tasks, task templates, workflow project lifecycle.
質問 # 61
How can an Operational Decision Manager (ODM) business rule be integrated into a Business Automation Workflow?
正解：D
解説：
The correct modern integration pattern is C: As an external service. IBM Business Automation Workflow can consume an IBM Operational Decision Manager rule by first defining the ODM business rule, deploying it as a decision service, and then using that deployed decision service as an external service inside a BAW service flow. This design separates process orchestration from decision execution: BAW controls the workflow path, tasks, case or process state, and service-flow logic, while ODM owns the business-rule lifecycle, governance, deployment, and runtime execution. A decision activity or decision task can represent rule-driven behavior inside a workflow model, but the specific integration mechanism for an ODM rule in a BAW service flow is external-service consumption. This also supports cleaner lifecycle management because rule changes can be governed and deployed through ODM without embedding decision logic directly into the workflow application. The result is a loosely coupled, maintainable integration pattern between process automation and decision automation. Reference/topics: Business Automation Workflow service flows, Using IBM ODM business rules, ODM decision services, external services, rule execution integration.
質問 # 62
What can be reviewed during a conformance check in Process Mining?
正解：D
解説：
The correct answer is A: Model fitness. IBM Process Mining conformance checking compares a data-derived process model with a reference model to determine how closely real process execution follows the expected process design. The Model Conformance panel visualizes fitness and conformance indicators, including similarity, fitness, minimum fitness, and maximum fitness. Fitness represents the percentage of represented cases in the data-derived model, while minimum and maximum fitness reflect the least and most similar cases when compared with the reference model. This is exactly the type of measurement reviewed during a conformance check. Option B, input data model, refers to the structure of input data but not the conformance result. Option C, system diagram, is not a Process Mining conformance artifact. Option D, input data quality, is important during ingestion and preparation, but it is not the specific conformance-check result being tested. In practice, model fitness helps analysts identify deviation, nonconforming paths, missing activities, unexpected activities, and gaps between designed and actual execution. Reference/topics: Process Mining, model conformance, reference model, fitness indicators, deviation analysis.
質問 # 63
Which statement describes the difference between attended and unattended bots?
正解：C
解説：
The correct answer is C. IBM Robotic Process Automation distinguishes bots by their operating mode. Attended bots work alongside human users and are typically launched on demand to help complete repetitive or structured tasks during a user session. They support productivity by assisting the user in real time, often through IBM RPA Launcher or user-triggered execution. Unattended bots do not require human help at execution time. They are scheduled, orchestrated, or called through APIs and commonly run on servers or virtual machines using configured credentials and runtime capacity. Option A is incorrect because attended status is not defined by cognitive capability. Option B reverses the definitions. Option D incorrectly implies that attended bots handle independent large-scale workloads while unattended bots are restricted to narrow applications. In solution architecture, attended automation is best suited for front-office assistance and human-in-the-loop productivity, while unattended automation is best suited for back-office, scheduled, integrated, and autonomous process execution. Reference/topics: IBM RPA, attended automation, unattended automation, RPA Launcher, Bot Runtime, scheduled and orchestrated scripts.
質問 # 64
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