Get Pegasystems PEGAPCDC87V1 Exam Practice Questions - Real and Updated

Answer : A

Decision Table Processing: The decision table is configured to evaluate the customer's credit score and average balance to determine the risk segmentation.

Conditions Evaluation:

For a credit score of 240 and an average balance of 35,000:

The first condition checks if the credit score is >= 400 and < 600, and average balance is >= 30,000, which does not match.

The second condition checks if the credit score is >= 200 and < 400, and average balance is >= 20,000, which matches both the credit score (240) and the average balance (35,000).

Therefore, the correct result for these conditions is 'Fair'.

Answer : B

Business Issues and Groups in Pega CDH - Business issues (like Sales, Service, Retention) categorize customer engagement strategies. Each issue can have multiple groups representing specific goals (e.g., credit cards, loans under Sales).

Retention Issue - Since the objective is to retain customers who are at high risk of leaving, modifying the Retention issue aligns the strategy with the goal of reducing churn.

Steps to Modify Retention Issue:

Navigate to the Next-Best-Action Designer.

Select the Retention issue.

Update or create new applicability settings to identify high churn risk customers.

Configure actions (proactive retention offers) to be presented to these customers.

Pega Customer Decision Hub User Guide 8.7, Section 'Managing issues and groups,' explains how to configure and manage business issues including Retention.

Answer : C

Scorecard Component - This component in Pega CDH is designed to evaluate attributes and produce a score based on those attributes. It is commonly used for calculating credit scores, risk scores, etc.

Steps to Use Scorecard:

In the decision strategy, add a Scorecard component.

Configure the scorecard to include relevant customer attributes (e.g., payment history, credit utilization).

Set the rules and weights for each attribute to calculate the final credit score.

Use the score in further decision logic (e.g., filtering out customers with a score below 500).

Pega Customer Decision Hub User Guide 8.5, Section 'Using Scorecards in Decision Strategies' explains how to configure and use scorecards to calculate scores.

Answer : D

Understanding the Requirement:

The bank wants to suppress a group of mortgage offers if a customer ignores (does not click on) three offers within 15 days.

The suppression rule needs to be defined for the web channel.

Configuring Suppression Rule:

The suppression rule must track the number of impressions (views) and check if there are no clicks.

It needs to be configured to act after three such impressions over a specific time period (15 days).

Steps to Configure:

Define the group of mortgage offers as a single entity.

Set up the suppression criteria to trigger after three impressions without clicks for the web channel.

Configure the suppression period to be 15 days.

Verification from Pega Documentation:

According to Pega's guidelines on adding tracking periods and suppression rules, this configuration accurately reflects the bank's requirements.

Answer : C

Understanding Refreshable Segment Option:

This option ensures that the segment is updated automatically whenever it is referenced.

Functionality:

When enabled, all segments that reference the refreshable segment are automatically updated, ensuring that the latest data is used.

Purpose:

This helps maintain data accuracy and relevance across all segments and ensures that the decisioning process is based on current data.

Verification from Pega Documentation:

Pega documentation on using and configuring refreshable segments in outbound schedules.