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Pegasystems PEGACPLSA23V1 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	Deployment and Testing Design: Follow best practices for production deployment. Plan and build CI CD pipelines. Design testing strategies and use automation to maintain quality. Track and assess release performance effectively.
Topic 6	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.
Topic 7	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.

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Pegasystems Certified Pega Lead System Architecture (LSA) Exam 23 Sample Questions (Q50-Q55):

NEW QUESTION # 50
An online streaming service faces performance issues because of a high volume of user data stored in the database. As a Lead System Architect, what are the two best corrective actions that you suggest for enhancing application performance? (Choose Two)

A. Schedule regular database defragmentation sessions in collaboration with the Database Administrator.
B. Implement horizontal and vertical database partitioning strategies and replication to distribute the load effectively.
C. Conduct database indexing on critical tables and optimize columns to improve query performance.
D. Implement archival of cases, case history, and associated media files, and then purge the data based on usage patterns and business criteria.

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Pega's performance optimization techniques, as taught in Pega Academy'sPerformance Optimization Mission and thePega Certified Lead System Architect Study Guide, focus on reducing database load and improving query efficiency. Archival and indexing are standard approaches for managing high data volumes.
* Option A (Incorrect): Horizontal and vertical database partitioning and replication are advanced database techniques that require significant DBA effort and may not be supported in Pega's managed environments (e.g., Pega Cloud). They are less practical than Pega-specific solutions, per theDatabase Optimizationmodule.
* Option B (Correct): Archiving cases, case history, and media files, followed by purging based on usage patterns, reduces database size and improves performance. Pega's Archival and Purge tools are designed for this purpose, as documented in theData Archivalsection of Pega Community.
* Option C (Incorrect): Database defragmentation is not a Pega-specific solution and is typically managed by DBAs outside the application. It is less impactful than archival or indexing for Pega performance, per thePerformance Tuningguidelines.
* Option D (Correct): Indexing critical tables and optimizing columns (e.g., adding indexes on frequently queried fields) significantly improves query performance.This is a recommended Pega practice, as noted in theDatabase Indexingmodule.
:
Pega Academy:Performance Optimization Mission(covers archival and indexing).
Pega Community:Data ArchivalandDatabase Indexing(details on performance strategies).
Pega Certified Lead System Architect Study Guide (v23): Section onPerformance Optimization(emphasizes database management).

NEW QUESTION # 51
Which two statements are true about asynchronous processing? (Choose Two)

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

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 # 52
Which three of the following options are flow-related assignment properties that can be used to identify assignments for cases in flight? (Choose Three)

A. pxTaskName
B. pxTaskName
C. pyInterestPageClass
D. UrgencyAdjust
E. pyLockInterval

Answer: A,B,C

NEW QUESTION # 53
Which three of the following options are tools to orchestrate containerized applications? (Choose Three)

A. Docker
B. Kubernetes
C. Apache Mesos
D. Docker Swarm

Answer: B,C,D

NEW QUESTION # 54
You need to automate a claim adjudication process in which files containing claims are parsed, verified, and adjudicated. Claims which pass those initial steps are automatically created for further processing. A single file containing up to 1,000 claims is received daily before 5:00 PM.
Claim verification is simple and takes a few milliseconds, but claim adjudication might take up to five minutes.
Which two design options best fit this solution?

A. In an activity, invoke the Queue-For-Processing method against each claim.
B. Create a job scheduler to fetch all the claims with status as Pending-Adjudication and process for calculation.
C. Create a standard agent to perform the case processing and calculation.
D. Create an advanced agent to identify all the cases for adjudication with status as Pending- Adjudication.
E. Create a queue processor to perform the calculation. Use a Run in background to call the queue processor. Pause the case processing and wait for the queue processor to complete processing.

Answer: A,E

NEW QUESTION # 55
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NEW PEGACPLSA23V1 EXAM CRAM & NEW PEGACPLSA23V1 TEST TEST

New PEGACPLSA23V1 Exam Cram & New PEGACPLSA23V1 Test Test