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Pegasystems PEGAPCBA87V1 Deutsch Exam Syllabus Topics:

Topic	Details
Topic 1	Case Management: This section of the exam measures skills of Business Process Analysts and covers the practical design and configuration of case lifecycles in Pega applications. It focuses on stages, statuses, assignments, and automation techniques that enhance workflow management. The domain includes configuring service level agreements, routing work, designing approvals, handling correspondence, identifying duplicate cases, and applying conditional logic to automate processes. It also tests knowledge of child cases, wait steps, and decision tables for efficient case handling.
Topic 2	Pega Express: This section of the exam measures the skills of Pega System Architects and covers the foundational elements of the Pega Express Delivery approach. Candidates are assessed on their understanding of the four phases of delivery, essential terminology, and the ability to apply best practices to streamline project outcomes. It also evaluates how professionals can build effective backlogs, apply Directly Capture Objectives (DCO) for collaboration, and document decisions that define the technical architecture.
Topic 3	User Experience: This section of the exam measures skills of Pega System Architects and focuses on customizing the user interface to improve usability and engagement. Candidates must understand how to configure dashboards, portals, and action sets to provide intuitive and role-based user experiences across applications.
Topic 4	Reporting: This section of the exam measures skills of Pega System Architects and focuses on creating and managing business reports that drive informed decision-making. It includes understanding report types, configuring columns and filters, and leveraging Insights to analyze performance data effectively within Pega applications.
Topic 5	Data and Integration: This section of the exam measures skills of Pega System Architects and covers the management and structuring of data within Pega applications. It includes defining data objects, relationships, and calculated values that drive decision-making. Professionals are expected to understand data records, validation rules, and how to configure data capture using fields and views to ensure data integrity and accuracy across integrated systems.