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Certification PEGACPLSA23V1 Test Questions, Formal PEGACPLSA23V1 Test

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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

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 3

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 4

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 5

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 6

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 7

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.

Pegasystems Certified Pega Lead System Architecture (LSA) Exam 23 Sample Questions (Q40-Q45):

NEW QUESTION # 40
Which three of the following application rule properties can you use within an Access when rule to restrict access between applications hosted in the same database and applications sharing the same work and assignment table? (Choose Three)

A. pyOrigOrgUnit
B. pyOwningUnit
C. pyOwningOrganization
D. pyOrigOrg
E. pyOrigDivision
F. pyOwningDivision

Answer: B,C,F

NEW QUESTION # 41
Select the four authentication protocols supported by Pega Platform™. (Choose Four)

A. PRBasic
B. Session Management
C. Token credentials
D. SAML 2.0
E. OpenID Connect
F. Basic credentials
G. PRSecuredBasic

Answer: C,D,E,F

NEW QUESTION # 42
When is access granted if both role-based access control (RBAC) and attribute-based access control (ABAC) are configured in an application?

A. Access is granted when ABAC evaluates to true because it overrides RBAC.
B. Access is only granted if both RBAC and ABAC evaluate to true.
C. Access is granted when RBAC evaluates to true because it overrides ABAC.
D. Access is granted if ABAC evaluates to true unless an Access Deny restricts access.

Answer: B

NEW QUESTION # 43
U+ Bank has a customer service application that processes customer complaints. Now, after three years in production, the operations manager needs historical reports on resolved cases. The reports should be sent in near real-time. The data warehouse has exposed a REST API to receive the data, and the reports are then generated from the data warehouse. Which two of the following options could you use to create an ideal design solution for posting the data to the data warehouse? (Choose Two)

A. Read data with data flows, which source data by using a dataset and then output the data to a utility that posts the data to the queue processor, which then posts the data tothe data warehouse over REST. For in- flight cases, on resolution of a case, reuse a queue processor that you created.
B. Read data with data flows, which source data by using a dataset and then output the data to a utility that synchronously posts the data to the data warehouse. For in-flight cases, on resolution of the case, configure the system to post the data to the data warehouse over REST.
C. Prepare an extract rule and extract the data of already-resolved cases, and then load it into the data warehouse for reporting. For in-flight cases, on resolution of a case, configure the system to post the data to the data warehouse over REST.
D. Run a one-time utility that browses all the resolved-cases data, and then asynchronously posts the data to the data warehouse. For in-flight cases, on resolution of a case, configure the system to synchronously post the data to the data warehouse over REST.

Answer: A,C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Pega's integration capabilities, as outlined in Pega Academy'sIntegration Missionand thePega Certified Lead System Architect Study Guide, provide multiple approaches for sending data to external systems like a data warehouse via REST APIs. The solution must balance efficiency, scalability, and near real-time requirements for both historical and in-flight case data.
* Option A (Incorrect): Using data flows to source data and synchronously post to the data warehouse is inefficient for near real-time reporting. Synchronous REST calls can introduce latency and performance issues, especially for large datasets. Pega recommends asynchronous processing for integration tasks to ensure scalability, as noted in theIntegrationmodule.
* Option B (Correct): Using an extract rule to process already-resolved cases is ideal for historical data.
Extract rules (part of Pega's Business Intelligence Exchange, BIX) are designed to efficiently export large volumes of data to external systems like data warehouses. For in-flight cases, posting data via REST on case resolution ensures near real-time updates. This approach aligns with Pega's best practices for data extraction and integration, per theBIX Configurationmodule.
* Option C (Correct): Data flows sourcing data via a dataset and outputting to a queue processor for REST posting is a scalable, asynchronous solution for historical data. Queue processors handle high volumes efficiently, and reusing the same queue processor for in-flight case resolutions ensures consistency and near real-time updates. This is supported by theData Flow and Queue Processor sections in Pega Community.
* Option D (Incorrect): A one-time utility for historical data is not sustainable for ongoing reporting needs, as it lacks automation. Additionally, synchronous posting for in-flight cases risks performance bottlenecks, which contradicts Pega's asynchronous integration recommendations, per theIntegration Mission.
:
Pega Academy:Integration Mission(covers REST integration and BIX).
Pega Community:Business Intelligence Exchange (BIX)andQueue Processor(details on data extraction and asynchronous posting).
Pega Certified Lead System Architect Study Guide (v23): Section onIntegration(emphasizes scalable data transfer).

NEW QUESTION # 44
Which three of the following approaches are valid methods of extending rules in Pega Platform™?
(Choose Three)

A. Organization hierarchy
B. Ruleset
C. Class
D. Circumstance
E. Dynamic class referencing (DCR)

Answer: B,C,D

NEW QUESTION # 45
......

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