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Pegasystems PEGACPLSA88V1 Exam With Confidence Using Practice Dumps

Exam Code:
PEGACPLSA88V1
Exam Name:
Certified Pega Lead System Architect (CPLSA) Exam 8.8
Vendor:
Questions:
238
Last Updated:
Mar 30, 2026
Exam Status:
Stable
Pegasystems PEGACPLSA88V1

PEGACPLSA88V1: Certified Lead System Architect (CLSA) Exam 2025 Study Guide Pdf and Test Engine

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Certified Pega Lead System Architect (CPLSA) Exam 8.8 Questions and Answers

Question 1

In the Answer Area, drag each use case on the left to the appropriate locking strategy on the right.

Options:

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Question 2

MyMealth Corporation wants to use the age of the claim to increase the urgency on the assignment so that claims processors work on the most urgent claims first. The claim assignment urgency increases by 1 each day the claim remains in an unresolved status. At any time. My Health has up to 10,000 claims in process. Claims in the PendingProcessing workbasket are subject to this calculation. The application updates the claim urgency daily before the work day begins. AM claims are processed within 30 days.

MyHealth also processes complaint cases from health plan members. Complaint cases use a service level agreement (SLA) to ensure the customer service representatives respond to complaints within 48 hours. All claims processors work in Los Angeles 9:00 AM-5:OQ PM PST.

Which approach satisfies the claim urgency requirement and provides the best experience for the claims processor?

Options:

A.

Use an advanced agent on a dedicated node to increment the pyUrgencyAssignAdjust value by 1 for every assignment that matches the selection criteria.

B.

Use the assignment SLA to increment the pyUnjerncyAssiqnAdjust value by 1 every day the claim is in an open status.

C.

Use a declare expression to increment the pytJrgcncyAsp/gnAdjur.t value to 1. When a claim processor opens the assignment, the urgency is increased by 1.

D.

Use the overall SLA to increment the pyUrgencyAssignAdjust value by 1. Reset the goal date to the following day

Question 3

An application for the U+ Vehicle Insurance company generates insurance quotes for vehicles specified by the customer. There can be various types of vehicles processed by the application, such as cars, motorcycles, trucks, and so on. The business specifications can also differ for each vehicle type in the quote process.

Which one of the following possibilities is the best data model design for the quote case type?

Options:

A.

Create a separate data type by grouping similar types of vehicles based on the number of wheels. At runtime, parameterized data pages are used to identify the specific vehicle type.

B.

Create a separate data type for each vehicle type, and then create a single vehicle page list in the quote case type. At runtime, dynamically identify the page class for each page in the vehicle page list.

C.

Create a separate data type for each type of vehicle, and then create a separate page list in the quote case type. At runtime, a rule resolution algorithm will identify the specific vehicle type.

D.

Create a single data type for all vehicle types and a single-page list in the quote case type. At runtime, circumstance will be used to identify the specific vehicle type.