PEGACPLSA88V1 Certified Pega Lead System Architect (CPLSA) Exam 8.8 Question and Answers

Create Site-Specific Encrypting Cypher:

Go to Designer Studio > Data Model > Classes > Class Groups.

Select the class group for MyOrg-HR-Work-RFP.

In the Security section, configure the site-specific encrypting cypher.

Select Encrypt BLOB?:

Check the option Encrypt BLOB? to ensure the storage stream for the class is encrypted.

Configuration:

Ensure the encrypting cypher is correctly set up and applied to the specific class.

Validate the configuration by checking the encryption of data in the database.

References:

Pega Academy: Data Encryption.

Pega Documentation: Encrypting the Storage Stream.

To ensure that the insurance company can meet the 24-hour response time requirement for claims submitted by email, the best recommendation is to use an email listener with concurrent threads. This configuration allows the system to process multiple emails simultaneously, thereby handling the high volume of 500 emails per hour efficiently. References:

Pega Documentation on Email Listener: Email Listener

Kubernetes is a powerful orchestration platform for managing containerized applications across a cluster of machines. The two statements that are true about Kubernetes capabilities are:

Auto Scaling Pods Up and Down (C):

Kubernetes can automatically scale the number of pods up or down based on the resource usage and demand. This is done using the Horizontal Pod Autoscaler, which adjusts the number of pod replicas based on CPU utilization or other select metrics.

Orchestrate Pods and Their Dependencies (D):

Kubernetes orchestrates the deployment, scaling, and operations of application containers across clusters of hosts. It manages the scheduling of pods, ensuring that containerized applications are running as desired and can handle the orchestration of dependencies between containers.

References:

Kubernetes Documentation on Horizontal Pod Autoscaler

Kubernetes Documentation on Pod Lifecycle

Using AccessGroup for conditional visibility is optimal because AccessGroups manage the user’s access to different applications and features. This approach provides flexibility and ease of maintenance, allowing changes to user roles or permissions to be managed centrally without modifying individual rules. AccessGroups encapsulate roles, privileges, and access controls, making it simpler to control UI elements based on user groups.

References:

Pega Security: Access Group Configuration

Pega UI Authoring: Conditional Visibility

To isolate database-related performance issues:

Investigate when the database is used most heavily (B): Understanding peak usage times can help pinpoint when the database is under the most strain. This information is crucial for identifying potential bottlenecks and optimizing performance.

Lower query-time-related alert thresholds (C): By lowering the alert thresholds for query times, you can capture more detailed information about slow-running queries, helping to identify and address inefficient database operations.

References:

Pega Performance: Database Performance and Tuning

Pega Alerts: Configuring Alerts and Thresholds

To create custom workspaces for different user roles and display custom formatted properties:

Separate Portals and Harnesses: Define separate portals, harnesses, and sections for each access group (managers and customer service representatives). This approach allows you to tailor the user interface and functionality according to the specific needs of each role.

Specialty Components and XML: Use Specialty Components to create custom formats for properties. XML can be used to pass data in and out of these components, allowing for complex and specialized data handling.

References: Pega Platform documentation on portals, harnesses, and using Specialty Components with XML.

Several factors can contribute to delays in sending correspondence in a Pega application:

Queued SLA Objects: The number of Service Level Agreement (SLA) objects queued can affect the timing of correspondence. If there are many SLA objects queued, the system may take longer to process them, leading to delays.

Error Handling for Locked Items: If there are errors in handling locked items, this can also cause delays. When an item is locked and an error occurs, the system needs to manage these exceptions, which can impact the overall processing time.

References: Pega Platform documentation on SLA and error handling mechanisms.

ï‚· Data Analysts and Data Architects:

They perform data collection and design, choose the correct layer for elements, and create a logical group of elements using inheritance or composition.

This aligns with best practices in data model design where specialized roles handle the technical aspects of data modeling.

ï‚· Subject Matter Experts (SMEs):

SMEs identify data sources, understand the flow of data, and determine the proper data type for data elements.

Their expertise in the business domain ensures that the data model accurately reflects business requirements and processes.

ï‚· References:

Pega Lead System Architect documentation on roles in data modeling emphasizes collaboration between various stakeholders, including Data Analysts, Data Architects, and SMEs.

ï‚· Therefore, the correct answers are:

C. Data Analysts and Data Architects perform data collection, data design, choose the correct layer for elements, and create a logical group of elements by using inheritance or composition.

D. Subject Matter Experts identify the data source, understand the flow of data, and identify the proper data type for the data elements.

To troubleshoot a chronic performance issue in a cloud-based production application:

Review Performance Alerts and Exceptions in PDC (A): Pega Predictive Diagnostic Cloud (PDC) monitors and reports on the health and performance of Pega applications in real-time. Reviewing alerts and exceptions here can provide insights into the root causes of performance issues.

Review Performance Alerts and Exceptions in AES (D): Pega Autonomic Event Services (AES) also monitors system health and performance. It can help identify patterns and issues that occur during specific time frames.

References:

Pega PDC: Understanding Pega Predictive Diagnostic Cloud

Pega AES: Pega Autonomic Event Services Overview

To address the requirement of handling tasks from both Pega and non-Pega applications seamlessly, the best approach is:

Pega Process Fabric Hub (B):

Pega Process Fabric Hub integrates multiple applications, whether they are Pega or non-Pega, providing a unified view of work. It allows users to manage tasks from different systems in a single interface, avoiding the need to switch between applications.

This approach supports a unified worklist, enhancing productivity and user experience by consolidating tasks into a single accessible place.

References:

Pega Process Fabric Hub Overview

Security Token Identification:

Add steps in the IAC authentication activity to identify and validate the security token provided by the external module.

Token Verification:

Implement additional steps to return the security token to the external authentication module for verification, ensuring it is the authenticating source.

Robotic Desktop Automation (RDA) is recommended in this scenario because it enables Customer Service Representatives (CSRs) to launch and interact with multiple applications from a single interface. RDA automates repetitive tasks and integrates different systems without requiring backend changes, making it an ideal solution for environments where applications are built on diverse technologies. This approach improves efficiency by reducing the manual effort needed to synchronize data across systems, ensuring real-time updates and data consistency.

References:

Pega Robotics: Pega Robotics Overview

Pega Customer Service: Pega Customer Service Capabilities

ï‚· Edit Input Rule: Create an Edit input rule on the customerinfo property. This rule will automatically convert the first and last names to upper case when the data is entered or updated, ensuring consistency.

ï‚· Data Transform: Develop a post-processing Data Transform that converts the names to upper case. This Data Transform can be invoked in the flow action to ensure that the names are converted after the user submits the form.

References:

Pega Academy: Configuring Data Transforms and Edit Input Rules

Pega Documentation: Data Transform Rules

For implementing Dynamic Class Referencing (DCR):

VehicleDCR PageGroup (A):

Create a VehicleDCR PageGroup property where the vehicle type is used as the subscript.

Use the pyLabel property to store the class name, enabling dynamic referencing based on the vehicle type.

Implementation:

This setup allows for dynamic class referencing where different vehicle types can be managed within the same PageGroup structure, simplifying the dynamic handling of classes.

References:

Pega Dynamic Class Referencing Guide

Pega Property and Class Management Documentation

To extend a native mobile app to allow customers to create claims using a claims management application on the Pega platform, you should configure a service that can be called from the native mobile app to create claim cases. This approach allows the native app to interact with the Pega application seamlessly. The Pega platform can then handle the claim processing and push notifications to the mobile app as updates occur.

To use customer properties like income and age in a Filter component:

Direct Access:

Customer properties such as income and age are directly available for use in decisioning components.

There's no need for additional components to enable access.

Using the Filter Component:

Simply drag and drop the Filter component into the decision strategy.

Use the customer properties directly in the filter logic (e.g., Customer.Income > 50000).

This is because Pega Customer Decision Hub typically provides direct access to commonly used customer properties.

References: Pega Decision Strategy Documentation

Define Privilege:

Create a privilege specific to the section containing personal data.

Assign Privilege:

Assign this privilege to roles associated with managers in the HR organization.

Check Weighted Conditions:

Ensure that the combined weights of the conditions meet or exceed the threshold set for identifying duplicates. This can be done in the Duplicate Search settings.

Verify Basic Conditions:

Confirm that each of the basic conditions (non-weighted) are met for the cases being compared. If these conditions are not satisfied, the duplicate search will not proceed to evaluate the weighted conditions.

Configuration Review:

Review the configuration of the duplicate search rule to ensure it is correctly set up and that the property values being compared are correct.

References:

Pega Academy: Case Management and Duplicate Detection.

Pega Documentation: Configuring Duplicate Case Search Rules.

Step by Step Comprehensive Detailed Explanation with References:To perform extensive analysis on work party information while minimizing impact on case workers:

Configure a reports database for the Class Group and Index WorkPartyUri Data Admm DB-Table records (B): Setting up a separate reports database helps offload reporting activities from the transactional database, reducing the load on the operational system.

Use BIX to export Case and related Work Party data to a data warehouse (D): BIX (Business Intelligence Exchange) can be used to export data in bulk to a data warehouse where extensive analysis can be performed without affecting the performance of the operational Pega applications.

References:

Pega Reporting: Using a Reports Database

Pega BIX: Business Intelligence Exchange

To ensure the performance of a Pega application does not degrade over time, two key recommendations are:

Schedule scripts to maintain frequently fragmented tables (C): Table fragmentation can lead to inefficient database performance. Regular maintenance scripts can help defragment these tables, ensuring that data retrieval remains efficient.

Purge and/or archive records based on the company's record retention policy (D): Over time, the accumulation of records can slow down application performance. Implementing a purge or archive strategy based on the company's retention policy helps manage database size and performance.

References:

Pega Database Management: Best Practices for Database Maintenance

Pega Performance: Improving Application Performance

Summarize Function with Filter Condition After Aggregation:

Using a report with a summarize function on Quantity and a filter condition applied after aggregation ensures that the report accurately displays categories with more than 5 items ordered.

References:

Pega documentation on report definitions and aggregation functions outlines how to apply filters after summarizing data to meet reporting requirements.

Therefore, the correct answer is:

C. A report with a summarize function on Quantity and filter condition Sum (Quantity) > 5 that the system applies after aggregation.

Limited Availability and Concurrency: This pattern handles situations where resources (like ferry seats) are limited, and concurrency needs to be managed to ensure fair allocation.

Divide and Conquer: This pattern involves breaking down a case into sub-cases or steps, such as managing bookings for both the outbound and return trips separately.

The best solution for maintaining discounts in an e-commerce application by a business manager is:

List Landing Page with Default Data Sources (D):

A list landing page provides an intuitive interface for business users to view, manage, and update discount details. By defining default data sources, the data is automatically fetched and displayed, simplifying the maintenance process.

This approach ensures that business managers can easily access and modify discount information without needing deep technical knowledge.

References:

Pega Platform Help on Configuring Landing Pages

To create a report that shows the number of employees with varying years of service, the best approach is to use a SQL function:

SQL Function: Create a SQL function that categorizes the employees based on their years of service. This function can then be used in the report definition to generate the desired output.

Implementation: Implement the function to return different categories such as more than 20 years, between 15 and 20 years, etc.

References:

Creating SQL functions in Pega

To create a new control with a shortcut key:

Create a new autogenerated button control and alter its caption to support a shortcut key (Answer A):

Explanation: Using autogenerated controls ensures consistency with Pega’s UI framework, and adding a shortcut key to the caption makes the button accessible via keyboard shortcuts.

Pega Customer Service functions as the customer interaction system of record within the enterprise architecture. It manages customer interactions and provides a comprehensive view of customer information and history, facilitating efficient and effective customer service.

References:

Pega Customer Service: Customer Interaction Management

Pega System of Record: Defining System of Record

Regarding inbound email processing:

An incoming email reply is linked to its original case by the case ID in the subject of the email (Answer A):

Explanation: The case ID in the subject line allows the system to match the incoming email with the existing case, ensuring proper tracking and processing.

To ensure claim processors work on the most urgent claims first, consider the following approach:

Advanced Agent: Implement an advanced agent on a dedicated node to increment the pyUrgencyAssignAdjust value by 1 for each assignment that meets the selection criteria. This agent can run at the start of each day to update the urgency of all claims in the PendingProcessing workbasket.

Dedicated Node: Using a dedicated node ensures that the urgency update process does not interfere with other application processes and can handle the large volume of claims efficiently.

References: Pega Platform documentation on advanced agents and configuring assignment urgency.

Create Decision Table:

Go to Records Explorer > Decision > Decision Table.

Create a new decision table that evaluates LDAP attributes (role and application properties) and maps them to access groups.

Authentication Mapping Configuration:

Go to Designer Studio > Security > Authentication Service.

In the mapping tab, configure the authentication service to evaluate the decision table created.

Testing:

Test the configuration by logging in with different users and verifying that the correct access group is assigned based on the LDAP attributes.

References:

Pega Academy: Authentication and Access Control.

Pega Documentation: Decision Table and LDAP Integration.

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ï‚· Automated Pega Unit Tests:

Having new team members create and run automated Pega unit tests against their rules ensures that they adhere to best practices and catch errors early.

ï‚· Rule Check-In Approval Process:

Using the rule check-in approval process allows for a review of changes made by new team members, ensuring that all rules meet the required standards and best practices.

ï‚· References:

Pega best practices for rule management and team collaboration recommend these approaches to maintain code quality and adherence to standards.

ï‚· Therefore, the correct answers are:

A. Have new team members create and run automated Pega unit tests against their rules.

C. Use the rule check-in approval process to review the changes that the new team members make.

ï‚· Job Scheduler with SendEmailNotification Utility:

Running a job scheduler to pull customer records matching the current date and using the SendEmailNotification utility ensures that emails are sent out at midnight. Recording failures in a data type captures the necessary error information.

ï‚· Job Scheduler with CorrNew Utility:

Using the CorrNew utility to send emails and record any exceptions in a data type also satisfies the requirement for recording email delivery failures.

ï‚· References:

Pega documentation on job schedulers and email utilities provides guidelines for implementing scheduled tasks and handling email delivery.

ï‚· Therefore, the correct answers are:

B. Run a job scheduler, and pull the customers that match the current date. For each record, invoke the SendEmailNotification utility. If any exception is received in email delivery, mark the failure in a data type.

D. Run a job scheduler, and pull the customers that match the current date. For each record, invoke the CorrNew utility. If any exception is received in email delivery, mark the failure in a data type.

The Localization wizard in Pega is designed to facilitate the process of localizing an application. It extracts string values from various parts of the application, ensuring that all text is available for translation. It also creates field value rules for labels used throughout the application, allowing for easy updates and translations. These capabilities are crucial for maintaining a consistent user experience across different languages and locales.References:

Pega Documentation on Localization Wizard: Pega Localization Wizard

Test for Completeness:

Ensure that all possible conditions and outcomes are covered in the decision rule. This involves checking that there are no missing branches or conditions that could result in an undefined outcome.

Unit Testing:

Conduct unit tests to verify that all scenarios return the expected results. This helps in identifying any gaps or missing conditions in the rule.

References:

Pega Academy: Decision Rules and Validation.

Pega Documentation: Testing and Debugging Decision Rules.

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Future Component Application:

Define the case type within a specific ruleset to facilitate its future conversion to a component application.

This allows for better modularization and reuse across different applications.

True Component Conversion:

Structuring the case type in a specific ruleset makes it easier to convert it into a true component in the future.

This approach supports scalability and maintainability of the application.

References:

Pega Academy: Advanced Case Management.

Pega Documentation: Ruleset and Component Management.

When designing a worldwide application, it is important to consider various factors such as the number of languages and locales, the intent to market the framework layer, and the initial deployment region. These questions help validate the consultant's recommendation by addressing key aspects of the application's architecture and deployment strategy.References:

Pega Framework and Implementation Layers: Pega Framework

ï‚· Defining Greetings: In Pega, create two separate greeting messages, one for satisfied customers and one for unsatisfied customers. Each greeting should be tailored to address the specific sentiment of the customer.

ï‚· Applying When Rule: A When rule is used to conditionally execute actions based on certain criteria. Create a When rule that evaluates the customer's satisfaction status. This can be based on data points such as customer feedback scores, recent interaction history, or sentiment analysis results from their messages.

ï‚· Configuring the Response: In the process configuration for handling Facebook Messenger interactions, apply the When rule to decide which greeting message to send. This ensures that when a customer initiates a conversation, the system checks their satisfaction status and responds with the appropriate greeting.

References:

Pega Academy: Configuring Chatbots and Virtual Assistants

Pega Documentation: Using When Rules

To satisfy requirements using Skin rule customizations:

In the Skin rule, configure the importance field for each column included in a repeating layout (Answer A):

Explanation: Setting the importance field helps manage how columns are displayed on different devices, ensuring a responsive design.

To address the requirement where users working in one application need to create cases in another application, the recommended approach is to implement Federated Case Management (FCM).

Federated Case Management: FCM allows different Pega applications to share and manage cases across multiple systems. This approach enables seamless case creation and management, ensuring that users can interact with cases regardless of the application they are working in.

Synchronization and Communication: FCM facilitates synchronization and communication between different Pega instances, ensuring that case data is consistent and accessible across the applications.

References: Pega Platform documentation on Federated Case Management.

ProductionApp 01.01CustomerApp 07.01ServiceApp 01.01EmployeeApp 01.01MyEnterpriseApp 01.02PegaRULES 07.10

Configure Activity for Background Execution:

Set the activity to execute in the background to prevent user interface delays.

Activity Setup:

Configure an activity that handles the connector call.

Declare Trigger:

Set up a declare trigger that activates when the case status changes to ensure the connector runs at the appropriate time.

Use PR cipherGenerator:

Utilize the PR cipherGenerator tool to generate an encrypted password.

This can be done through Pega's utility tools or via command line.

Encrypt Password:

Replace the unencrypted password in the prconfig.xml file with the generated encrypted password.

Configuration:

Ensure that the encrypted password is correctly referenced in the connection information within prconfig.xml.

References:

Pega Academy: Configuration and Deployment.

Pega Documentation: Encrypting Passwords and PR cipherGenerator.

Max Attempts: The maximum number of retry attempts set is 4.

Initial Delay: The initial delay before the first retry attempt is 2 minutes.

Delay Factor: The delay factor is set to 2, which means the delay doubles with each retry.

Calculating Delays:

First attempt fails, delay before second attempt = Initial delay = 2 minutes.

Second attempt fails, delay before third attempt = Initial delay * Delay factor = 2 minutes * 2 = 4 minutes.

Third attempt fails, delay before fourth attempt = 4 minutes * Delay factor = 4 minutes * 2 = 8 minutes.

Delay Between Attempts: The question specifically asks for the delay between the second and third attempt, which is calculated as 8 minutes.

References:

Pega documentation on queue processor configuration.

Pega Platform 8.x help files related to processing retries and delay factors.

ï‚· Responsive Layouts:

Using responsive layouts helps ensure that the application aligns well with different device screen sizes, enhancing accessibility for all users.

ï‚· Link Controls:

Using link controls instead of buttons can improve readability and accessibility, making it easier for screen readers and other assistive technologies to interpret the interface.

ï‚· References:

Pega best practices for designing accessible applications emphasize the use of responsive designs and appropriate controls to ensure accessibility.

ï‚· Therefore, the correct answers are:

B. Use responsive layouts to help align with device screen size.

C. Use link controls instead of buttons, for readability.

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To help users find rules from the BCO-Data-Quote class when working in APP Studio, you should:

Relevant Records Configuration: Mark each rule you want to reuse as a relevant record. This makes these rules easily discoverable and reusable within APP Studio.

Implementation in APP Studio: Navigate to the data type and mark the necessary rules as relevant records. This action ensures that these rules are available in the relevant contexts when users work within the application.

References:

Using relevant records in App Studio

To configure the data page to satisfy all the requirements in the scenario:

Create a thread-level data page with parameters that uses a connector as its source (Answer B):

Explanation: A thread-level data page ensures that the data is specific to the current user session and not shared across multiple sessions. Using parameters allows for flexibility in filtering and retrieving the required transactions. The connector source ensures data is fetched from the external service as needed.

ï‚· Identify and configure the right set of test suites to test early and often to identify the defects in the early stages of project life cycle:

Testing early and frequently helps in identifying and fixing defects at the initial stages, reducing the cost and effort required for fixing them later.

ï‚· Identify and configure the right set of test suites that need to run at different stages of release pipeline:

Different stages of the release pipeline require different sets of tests to ensure comprehensive testing coverage and quality assurance.

ï‚· Identify and configure the automation test suite by using Pega Platform features and industry best practices:

Leveraging Pega Platform's features and adhering to industry best practices ensures that the automated test suites are effective and reliable.

ï‚· Association Rules: Association rules in Pega are used to define relationships between different classes. By creating association rules for the set of classes used in reports, you streamline the process of joining these classes in various reports.

ï‚· Simplified Reporting: When managers create reports, they can easily include the necessary class joins by leveraging these predefined association rules, thus reducing complexity and the likelihood of errors.

References:

Pega Academy: Building Reports with Association Rules

Pega Documentation: Association Rules

There are two primary methods to queue an item for processing in Pega:

Queue-for-processing method: This method is used within an activity to queue items for background processing.

Run in Background smart shape: This smart shape is used in the process flow to queue items for background processing efficiently.

References:

Queue-for-processing method

Run in Background smart shape

BIX Integration:

Use Pega's Business Intelligence Exchange (BIX) to export the Index-WorkPartyUri data. This method allows real-time data export without impacting case worker performance.

Configure BIX to export the required data to the report database at scheduled intervals.

To restrict the ability to withdraw a case to specific users, the following rule types can be used in combination:

Access When (Answer B):

Explanation: An Access When rule can be created to conditionally grant or deny access to the withdraw action based on the user's role and whether they are the creator of the case or a work group manager.

Runtime Class Variability:

At runtime, the .Loans page list can contain instances of different classes (e.g., MyCo-data-Loan-Auto and MyCo-data-Loan-Mortgage).

Class Consistency:

While the page list can contain different instances, all pages must conform to the defined class structure.

Specialized Rule Reference:

Specialized rules in MyCo-Data-Loan-Mortgage can be referenced through .Loans, provided they are defined within the class hierarchy.

ï‚· Using the PropertyRead access control policy for the SSN and date of birth ensures that only users with the appropriate access (e.g., HR Manager) can view these details. This approach masks the information for other users.

ï‚· References:

Pega best practices for data security and access control recommend using PropertyRead policies to restrict access to sensitive information.

ï‚· Therefore, the correct answer is:

A. Use the PropertyRead access control policy for the SSN and date of birth.

Enable CAPTCHA Security Policy:

Navigate to the security settings in Pega.

Enable CAPTCHA to prevent automated login attempts.

Authentication Lockout Policy:

Configure the authentication lockout policy to lock accounts after a certain number of failed attempts within a specified timeframe.

For matching the requirements with the correct components, the answers are as follows:

Determine target budget to retain a customer

Component: Decision table

Explanation: A decision table is used to define and evaluate multiple conditions to determine outcomes, such as calculating a target budget based on various customer attributes.

Divide customers into risk segments

Component: Scorecard

Explanation: A scorecard assesses and scores customer attributes to classify them into different risk segments, such as low, medium, or high risk.

Compute sum of profit

Component: Group By

Explanation: The Group By component aggregates data to compute sums, averages, and other statistics, such as the sum of profit across customer segments.

Determine customer credit score

Component: Scorecard

Explanation: A scorecard is used to calculate a customer's credit score by evaluating various financial and behavioral attributes.

Step by Step Comprehensive Detailed Explanation with References:

Decision Table:

Use Case: Decision tables are used to evaluate multiple conditions and determine an appropriate action or value. They are suitable for calculating budgets where multiple criteria need to be considered.

For the webinar scenario, the best case design pattern is:

Answer: C. Data Instance First

Data Instance First: This pattern is suitable when the case is driven by data instances, such as tracking registrations for a webinar and initiating a case only when a sufficient number of registrations are received.

ï‚· Embedded List with Declare Index:

Both Case Types A and B possess an embedded list of line items. Using a Declare Index against each embedded list ensures efficient data retrieval and indexing.

Changing the direct inheritance class for each Declare Index class to the Line Item data type allows for proper data management and querying.

ï‚· References:

Pega best practices for data modeling and indexing recommend using Declare Index for embedded lists to enhance performance and data organization.

ï‚· Therefore, the correct answer is:

D. Case Types A and B both possess an embedded list of line items. Define a Declare Index against each embedded list. Change the direct inheritance class for each Declare Index class to the Line Item data type.

Next-Best-Action Reevaluation:When a customer rejects an offer, Pega Customer Decision Hub reevaluates the Next-Best-Action to determine the next most relevant action for the customer. This ensures that the customer's needs and preferences are continuously considered.

Process Steps:

Capture the rejection event.

Trigger the reevaluation process.

Determine the next best offer or action based on updated customer data and context.

References:Pega Documentation on Customer Decision Hub outlines the process of handling offer rejections and reevaluating Next-Best-Actions.

To meet the requirement of displaying the current label associated with each code in a report, use a custom section in the report definition to display the rows. Use a Keyed-access Data Page to source the label values dynamically from the external system of record whenever the report is run. This ensures that the latest labels are always displayed without needing to persist them locally. References:

Pega Documentation on Data Pages: Data Pages

Pega Report Definitions: Report Definitions

Scenario testing in Pega is used to create UI-based, end-to-end tests for applications. The following statements are true about scenario testing:

Scenario Tests Can Include Another Scenario Test (A):

Scenario tests can be nested, allowing one scenario test to include another. This enables the reuse of common test steps and enhances the modularity of test cases.

Scenario Tests Do Not Support File Uploads or Downloads (C):

Scenario tests are designed to simulate user interactions but do not support file uploads or downloads as part of the test execution. This limitation ensures tests focus on UI interactions and business logic.

Scenario Tests Support the Setup or Cleanup of Test Data (E):

Scenario tests allow for the setup or cleanup of test data before or after the test execution. This capability ensures that the test environment is correctly prepared and that any test data is appropriately managed.

References:

Pega Scenario Testing Guide

Pega Platform Test Automation Documentation

Criterion 1: Owns a smart mobile

Engagement Policy Level: Group level

Explanation: The criterion "Owns a smart mobile" applies to all data plans and can be considered a group-level policy. It filters the audience at a broader level to ensure they have a smart mobile device.

Criterion 2:

Under graduation student

Engagement Policy Level: Issue level

Explanation: The criterion "Under graduation student" applies to multiple data plans (1 GB and 3 GB) and is more specific to the issue of targeting educational segments. Thus, it is suitable at the issue level.

Criterion 3:

Post graduation student

Engagement Policy Level: Action level

Explanation: The criterion "Post graduation student" is specific to the 5 GB plan and is most appropriate at the action level. This level ensures the targeting is precise for this particular plan.

New customer

Engagement Policy Level: Group level

Explanation: The criterion "New customer" can be applied across multiple offers and thus is suitable for the group level to broadly target new customers.

Existing customer

Engagement Policy Level: Action level

Explanation: The criterion "Existing customer" is applied at the action level to ensure specific offers (3 GB and 5 GB plans) are appropriately targeted to customers who already have a relationship with the company.

Step by Step Comprehensive Detailed Explanation with References:

Group Level Engagement Policy:

Conditions that apply broadly across multiple offers or groups of offers fall under group-level policies. Examples include owning a smart mobile and being a new customer.

Issue Level Engagement Policy:

Conditions that are relevant to a specific issue, such as educational status for specific data plans, are categorized under issue-level policies. This ensures that offers targeting undergraduates are consistently managed.

Action Level Engagement Policy:

Conditions that are specific to individual actions or offers are best managed at the action level. This includes targeting post-graduation students for the 5 GB plan and existing customers for specific plans to ensure precise targeting.

References: Pega's best practices for engagement policies recommend using group-level policies for broad criteria, issue-level for segment-specific conditions, and action-level for highly specific targeting to ensure effective and relevant customer engagement.

The Exclude Operators option in the Security Policies landing page allows administrators to specify certain operators, such as Admin or Executive roles, who should be exempt from the lockout policy. This ensures that critical users retain access even after multiple failed login attempts, aligning with the requirement to exclude specific roles from lockout policies.

References:

Pega Security Policies: Configuring Security Policies

Pega Authentication: Authentication and Access Control

ï‚· Job Scheduler:

Using a job scheduler on a dedicated node is a robust solution for incrementing the urgency of claims. The scheduler can run daily to update the value of pyUrgencyAssignAdjust by 1 for every assignment in the PendingProcessing workbasket.

ï‚· References:

Pega documentation on job schedulers and background processing highlights the use of job schedulers for periodic updates and batch processing.

ï‚· Therefore, the correct answer is:

C. Use a job scheduler on a dedicated node to increase the value of pyUrgencyAssignAdjust by 1 for every assignment that matches the selection criteria.

To implement the business requirement for risk segmentation using age and credit score:

Create a decision table that defines the risk segmentation rules.

Add this decision table to a decision strategy.

Pass the customer's credit score as a parameter to the decision table to determine the appropriate risk segment.