The PEGACPLSA24V1 exam covers eight major domains that reflect real-world LSA responsibilities. Below is a structured summary you can use for targeted study.

1. Pega Platform Design (15%)

This section validates your understanding of designing enterprise-scale Pega architectures.

• Center-out business architecture & when it should be applied
• Using multiple Pega products and understanding deployment options
• Multitenancy, high availability, and cloud-ready architecture
• Pega Process Fabric, Process Mining
• Hazelcast, containerization, Kubernetes, Pega Cloud
• Agile Workbench & Agile Studio usage
• Production deployment best practices and release pipelines
• Modular deployment & shared component strategies

2. Pega Platform Design Extended (10%)

Focuses on Pega Studios and front-end technologies.

• App Studio adoption strategies
• Prediction Studio & Admin Studio functional knowledge
• UX and Constellation architecture
• DX API, Landing pages, Accessibility
• GenAI Suite, Blueprint creation & workflow design
• Reuse strategies: Relevant records, configuration sets

3. Application Design (15%)

Core concepts around case design, specialization, and maintainability.

• Microjourney analysis
• Application structure patterns
• Pega Express design patterns
• Case hierarchy, circumstancing, class and ruleset specialization
• Test automation, scenario testing, and quality metrics
• Approvals and rule governance processes

4. Application Design Extended (15%)

Advanced case management and background processing.

• Work assignment best practices
• Case participants, routing, and Get Next Work
• Flow changes, problem flows, and exception handling
• Queue processors, job schedulers
• Asynchronous integrations
• Streams, data flows, data sets
• Logs, Alerts, PDC diagnostics

5. Data Model Design (10%)

A successful LSA must design a scalable and reusable data model.

• Fundamentals of data relationships
• Greenfield vs. extend-existing modeling
• Data pages & Data Virtualization Layer
• Dynamic class references, polymorphism
• Industry foundation data models
• Aggregated data and best practices

6. Reporting Design (10%)

Focuses on performance-oriented and scalable reporting structures.

• Reporting strategy design
• Reporting and data warehousing
• SRS (Search and Reporting Service)
• Performance optimization techniques
• Complex SQL, functions, joins, subreports
• Database tuning for Pega applications

7. Security Design (15%)

Security is a major area in the LSA role and heavily tested.

• Authentication & authorization models
• Role-based vs. Attribute-based access control
• Access groups, roles, dependent roles
• Rule Security Mode
• Security event logging, alerts, auditing
• Content Security Policies
• Vulnerability detection & mitigation

8. Interface Design (10%)

Covers designing scalable and secure APIs & integrations.

• API-based design and CRUD APIs
• API access control
• Best practices for service externalization
• Managing API deployments and external endpoints