UPDATED PEGACPLSA23V1 CBT - PEGACPLSA23V1 LATEST EXAM ONLINE

Updated PEGACPLSA23V1 CBT - PEGACPLSA23V1 Latest Exam Online

Updated PEGACPLSA23V1 CBT - PEGACPLSA23V1 Latest Exam Online

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Pegasystems PEGACPLSA23V1 Exam Syllabus Topics:

TopicDetails
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
  • 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 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
  • 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 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
  • 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.

Pegasystems Certified Pega Lead System Architecture (LSA) Exam 23 Sample Questions (Q19-Q24):

NEW QUESTION # 19
A Lead System Architect (LSA) team has a task to automate a design solution grading system.
Graders use the system to capture the score using a rubric (instructions) defined for the scenario. The rubric contain questions and statements against which the evaluation occurs.
The submitted design solution can fall into one of four categories: Excellent, Good, Not Bad, Bad.The score for each of these four categories varies between different versions of the instructions. For example, an Excellent score is anything above 75 in version 1.1. In version 1.2, a score above 65 is Excellent.Exam results are decided based on the average of the question scores.The result is either Pass, Fail, or Fix. For example, a total score between 60 and 75 is considered Fix.
The results range is version-dependent.Now, there is a debate within the team as to what data types the team should create.
Which one of the following options is the best data model design and implementation approach for this requirement?

  • A. RubricQuestions, ResponseRange, CategoryRange, and ResultRange.
  • B. QuestionCategory, CategoryRange, and ResponseCategory.
  • C. QuestionsList, ResponseCategory, CategoryRange, and ResultList.
  • D. Rubric, Question, Response, CategoryRange, and ResultRange.

Answer: D


NEW QUESTION # 20
When designing an effective case structure, which elements should be considered? (Select all that apply)

  • A. The level of integration with external systems and data sources.
  • B. The color scheme and layout of the case user interface.
  • C. The number of stages and steps required to complete the case.
  • D. The availability of predefined templates for specific case types.

Answer: A,C


NEW QUESTION # 21
APP Studio created a data type in the Organization layer for Quote data called BCO-Data Quote.
How do you help users find rules from this data class when working in APP Studio?

  • A. Copy the fields In the data class to the BCO QT Work- class so all subclasses can see the Quote rules.
  • B. Create a BCO-QI -Data-Quote class that inherits from BCO Data-Quote.
  • C. Select each rule you want to reuse in the application as a relevant record.
  • D. Use a Data Reference to configure the rules that you need from the BCO-Data-Quote class.

Answer: C


NEW QUESTION # 22
What is the main difference between a Data Flow and a Queue Processor?

  • A. Queue Processors can process large volumes of data, while Data Flows cannot.
  • B. Queue Processors can process a single item immediately, while Data Flows cannot.
  • C. Data Flows can process data asynchronously, while Queue Processors cannot.
  • D. Data Flows can be scheduled to run at specific times, while Queue Processors cannot.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Pega's asynchronous processing tools, including Data Flows and Queue Processors, serve distinct purposes, as explained in Pega Academy'sLead System Architect Missionand thePega Certified Lead System Architect Study Guide. Data Flows are designed for processing large datasets, often in batches, while Queue Processors handle individual items with immediate or queued processing.
* Option A (Correct): Queue Processors can process a single item immediately (e.g., via Standard or Dedicated queues), making them suitable for real-time, event-driven tasks. Data Flows, however, are designed for processing streams or batches of data and do not handle single items with the same immediacy. This distinction is highlighted in theData Flow vs. Queue Processorsection of Pega Community.
* Option B (Incorrect): Both Data Flows and Queue Processors can process data asynchronously. Data Flows support asynchronous batch processing, and Queue Processors handle queued tasks asynchronously, making this statement false, per theAsynchronous Processingmodule.
* Option C (Incorrect): Data Flows are not typically scheduled to run at specific times; they are triggered by data sources or events. Job Schedulers, not Data Flows, are used for scheduled tasks.
Queue Processors also run based on queue triggers, not schedules, as noted in theData Flow Configurationmodule.
* Option D (Incorrect): Data Flows are specifically designed to process large volumes of data, such as in analytics or ETL processes, while Queue Processors are better suited for smaller, individual tasks.
This makes the statement incorrect, per theLead System Architect Mission.
:
Pega Academy:Lead System Architect Mission(covers Data Flows and Queue Processors).
Pega Community:Data Flow vs. Queue Processor(details on processing differences).
Pega Certified Lead System Architect Study Guide (v23): Section onWork Delegation and Asynchronous Processing(emphasizes processing capabilities).


NEW QUESTION # 23
To leverage cosmos UI design, your application must have Theme Cosmos application in the application stack.

  • A. False
  • B. True

Answer: A


NEW QUESTION # 24
......

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