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Pegasystems PEGACPLSA23V1 Exam Syllabus Topics:

Topic
Details

Topic 1

Security Design:Choose the right authentication and access models based on the situation. Configure access groups, roles, and role hierarchies. Understand rule-level security. Spot and prevent security threats. Apply best practices to secure applications and use event logging for monitoring.

Topic 2

Application Design Extended: Manage work assignment and routing, and use features like Get Next Work. Explore different ways to allocate tasks. Handle mid-case flow changes and fix issues using problem flows. Implement background processing, job schedulers, queue processors, and asynchronous integrations. Understand how to use stream services, data flows, and datasets in Pega Infinity.

Topic 3

Pega Platform Design Extended:Use App Studio for app development. Understand features of Prediction Studio and Admin Studio. Reuse relevant components efficiently. Grasp the basics of UX design, DX API, and Constellation. Design accessible and user-friendly experiences.

Topic 4

Application Design:Learn how Microjourneys guide app design. Understand case structure, Pega Express methods, and best practices. Create case hierarchies, and use rulesets, classes, and specialisation wisely. Apply layered design for scalable solutions.

Topic 5

Pega Platform Design: Understand the value of Center-out architecture in building scalable Pega solutions. Explore how deployment options influence app design, and apply performance monitoring. Work with distributed case designs and know when to include other Pega tools. Learn about multi-tenant systems, high availability, and features like Pega Mobile, IVA, and Process Fabric. Gain insight into containerization, Hazelcast, and cloud architecture. Understand Agile Workbench and Agile Studio tools.

Topic 6

Reporting Design: Create reports that meet business needs and support performance. Troubleshoot reporting issues. Write queries, use SQL functions, and combine data through joins, subreports, and associations.

Topic 7

Data Model Design: Understand how data relationships work. Build new data models or extend existing ones. Use data pages and virtualization to manage information. Design reusable and reliable data structures. Learn dynamic class referencing and polymorphism. Extend and benefit from Pega’s industry foundation models.

Pegasystems Certified Pega Lead System Architecture (LSA) Exam 23 Sample Questions (Q57-Q62):

NEW QUESTION # 57
What are some best practices for Pega Express in designing cases? (Select all that apply)

A. Utilizing Agile methodology for iterative development.
B. Involving stakeholders from the business and IT teams throughout the design process.
C. Defining strict timelines for each phase of development.
D. Implementing complex decision trees for advanced case behavior.

Answer: A,B

NEW QUESTION # 58
Which two statements are true about asynchronous processing? (Choose Two)

A. Queue processors can have associates with more than one node type.
B. Job schedulers can have associates with more than one node type.
C. Job schedulers use a Kafka-distributed streaming service to achieve maximum throughput.
D. The replication factor of the queue processor ensures reliability and fault tolerance.

Answer: A,D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Pega's asynchronous processing tools, including Job Schedulers and Queue Processors, are designed for scalability and reliability, as detailed in Pega Academy'sLead System Architect Missionand thePega Certified Lead System Architect Study Guide. Understanding their configuration and behavior across nodes is critical for LSA responsibilities.
* Option A (Incorrect): Job Schedulers are associated with specific node types (e.g., BackgroundProcessing) and do not typically support multiple node types for a single scheduler. This ensures dedicated processing, as clarified in theJob Scheduler Configurationmodule.
* Option B (Correct): Queue Processors can be associated with multiple node types (e.g., BackgroundProcessing, Stream), allowing them to leverage distributed processing for scalability. This is a key feature for handling high-volume tasks, as documented in theQueue Processorsection of Pega Community.
* Option C (Incorrect): Job Schedulers do not use Kafka for throughput. While Pega's Stream nodes may use Kafka for data flows or event streaming, Job Schedulers rely on Pega's internal scheduling mechanism, per theAsynchronous Processingmodule.
* Option D (Correct): The replication factor in Queue Processors (e.g., via Kafka-based queues in Pega) ensures reliability and fault tolerance by maintaining copies of queued tasks across nodes. This is a standard feature for queue processors, as noted in theQueue Processor Configurationmodule.
:
Pega Academy:Lead System Architect Mission(covers Job Schedulers and Queue Processors).
Pega Community:Queue Processor Configuration(details on node associations and replication).
Pega Certified Lead System Architect Study Guide (v23): Section onWork Delegation and Asynchronous Processing(emphasizes scalability and reliability).

NEW QUESTION # 59
In a retail inventory management application, the system captures and stores product sales data in the backend database to manage inventory levels effectively. The organization requires a comprehensive report to analyze product sales trends over the past 5 years, including details on which products sold the most and least, and their corresponding profit margins. As a Lead System Architect, which well-designed solution do you suggest for implementing this requirement?

A. Store both product-related data and sales workflow data in the PegaDATA schema within the database.
Use Business Intelligence Exchange rules to extract this data daily and transfer it to a designated data warehouse for analysis with specialized Business Intelligence tools.
B. Segment the product-related data into a CustomerData schema and sales workflow data into the PegaDATA schema within the database. Utilize Business Intelligence Exchange rules to extract this data daily, then store it in a dedicated data warehouse for analysis with specialized Business Intelligence tools.
C. Partition the product-related data in the CustomerData schema and the sales workflow data in the PegaDATA schema within the database. Provide access to these schemas for specialized Business Intelligence tools to directly query and analyze the data.
D. Centralize both product-related data and sales workflow data in the CustomerDataschema within the database, optimizing the necessary properties for efficient querying. Grant access to this schema to specialized Business Intelligence tools to perform in-depth analysis.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Pega's reporting and data integration capabilities, as outlined in Pega Academy'sReporting Missionand the Pega Certified Lead System Architect Study Guide, recommend using Business Intelligence Exchange (BIX) for extracting large datasets to external data warehouses for advanced analytics. This ensures performance and scalability for historical trend analysis.
* Option A (Incorrect): Segmenting product data into a CustomerData schema and sales data into PegaDATA is unnecessary and complicates data management. PegaDATA is the standard schema for Pega application data, and splitting schemas does not align with BIX best practices, per theBIX Configurationmodule.
* Option B (Incorrect): Directly querying PegaDATA and CustomerData schemas with BI tools can degrade application performance due to heavy database load. Pega recommends offloading analytics to a data warehouse via BIX, as noted in theReporting Designguidelines.
* Option C (Correct): Storing both product and sales data in the PegaDATA schema (Pega's default schema) and using BIX rules to extract data daily to a data warehouse is optimal. This approach minimizes application impact, supports scalable analytics with BI tools, and aligns with Pega's best practices, as documented in theBusiness Intelligence Exchangesection of Pega Community.
* Option D (Incorrect): Centralizing data in a CustomerData schema and optimizing for direct BI tool queries risks performance issues in the Pega database. BIX extraction to a data warehouse is the preferred method, per theData Warehouse Integrationmodule.
:
Pega Academy:Reporting Mission(covers BIX and data warehouse integration).
Pega Community:Business Intelligence Exchange(details on data extraction).
Pega Certified Lead System Architect Study Guide (v23): Section onReporting Design(emphasizes BIX for analytics).

NEW QUESTION # 60
An e-commerce site deals with multiple orders daily. The site wants to provide discounts for the top customers based on the purchase amount in the previous month. On the last day of every month, top buyers are identified based on the purchase amount and the discounts are applied on the first item purchased in the next month.
Which optimal background mechanism do you use to retrieve the top 10 buyers from the following options?

A. Job scheduler
B. Queue processor
C. Advanced agent
D. File listener

Answer: A

NEW QUESTION # 61
In which three of the following ways can an application be specialized? (Choose Three)

A. By using branching
B. Through class inheritance
C. By using decision rules
D. Through ruleset overriding
E. By circumstancing

Answer: B,D,E

NEW QUESTION # 62
......

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