Pegasystems PEGAPCDC87V1 Exam Dumps

Introduction to Prioritize Component:

The Prioritize component in Pega Decisioning is used to order actions based on specific criteria.

This component evaluates the importance or priority of different actions to determine which should be executed first.

Understanding Propensity:

Propensity is a prediction of the likelihood that a customer will respond positively to a particular action.

It is a key factor in decision-making processes as it reflects the customer's predicted behavior based on past interactions and other data.

Role of Propensity in Prioritize Component:

The primary function of the Prioritize component is to rank actions.

This ranking is typically based on the propensity value, which is calculated using predictive models.

The action with the highest propensity is considered the top action because it has the highest predicted likelihood of a positive customer response.

Verification from Pega Documentation:

According to Pega's guidelines on creating and understanding decision strategies, propensity is a standard and recommended metric for prioritizing actions within the Prioritize component.

To implement the required changes for the mortgage offers, you should create two separate change requests in the 1:1 Operations Manager portal. This ensures each change is tracked and managed individually.

Update Suitability Condition for Fifteen-Year Fixed-Rate Mortgage Offer:

Step 1: Log into the 1:1 Operations Manager Portal.

Step 2: Create a change request for updating the suitability condition of the Fifteen-Year Fixed-Rate Mortgage offer.

Step 3: Specify the details of the change, including the new suitability condition (Credit Score > 450).

Step 4: Submit the change request for approval and implementation.

Introduce a New Offer - Twenty-Year Fixed-Rate Mortgage:

Step 1: In the 1:1 Operations Manager Portal, create a new change request for introducing the Twenty-Year Fixed-Rate Mortgage offer.

Step 2: Define the new offer, including its eligibility, applicability, and suitability conditions (Credit Score > 600).

Step 3: Configure the necessary treatments and engagement policies for the new offer.

Step 4: Submit this change request for approval and implementation.

Best Practices:

Creating separate change requests ensures that each modification is properly documented and approved, reducing the risk of errors and making it easier to track changes.

This approach also allows for independent testing and validation of each change before it goes live.

Pega-Customer-Decision-Hub-User-Guide-85.pdf: 'Managing business-as-usual changes with Pega 1:1 Operations Manager' section.

Pega documentation on 'Creating change requests in 1:1 Operations Manager'.

By following these steps, U+ Bank can effectively manage the changes to their mortgage offers, ensuring that both the updated suitability condition and the new offer are correctly implemented.

In the always-on outbound customer engagement paradigm, leveraging AI and continuous decisioning is crucial:

AI-Driven Decisioning:

Step 1: Configure the primary schedule to run daily, allowing the AI engine to continuously evaluate and select the best action for each customer.

Step 2: The AI considers engagement policies, customer behavior, and contextual data to determine the most relevant action.

Benefits of Always-On Engagement:

Continuous evaluation of customer interactions ensures that the actions presented are timely and contextually relevant.

It allows for dynamic adjustment of offers based on real-time data and customer responses.

Implementation Steps:

Step 1: In Next-Best-Action Designer, set up a primary schedule to run daily.

Step 2: Define engagement policies and configure AI models to select actions based on customer interactions and preferences.

Step 3: Allow the AI to decide whether to resend the original offer or present a new offer based on the customer's response or lack thereof.

Example:

If the customer ignores the first email, the AI might decide to send a reminder email or a different offer based on updated engagement data and policy rules.

Pega-Customer-Decision-Hub-User-Guide-85.pdf: 'Configuring a recurring schedule for Next-Best-Action' section.

Pega documentation on 'Using AI in decisioning'.

To implement the change in the threshold value for the USD 2000 credit limit from ''<175'' to ''<200'', as a Strategy Designer, you should change the cutoff value in the results tab of the scorecard decision component. This adjustment ensures that the decision logic used to automatically approve credit card limits reflects the new threshold, thereby updating the conditions under which customers qualify for the specified credit limit.

Best Practice for Emails: To ensure that emails load quickly and correctly across various email clients, it's best practice to provide links to images rather than embedding them directly or attaching them. This method ensures better compatibility and avoids large email sizes.

Implementation: Including image links allows the email client to fetch images from a server, ensuring that the email content remains lightweight and is displayed properly.