Free Practice Questions for Pegasystems PEGACPDC88V1 Exam

The Next-Best-Action strategy is a customer-centric approach that aims to deliver the most relevant and valuable proposition for each customer at any given moment. You can use the Next-Best-Action strategy to address various business issues that involve customer interactions, such as service, retention, and collections. Service is the process of providing assistance and support to customers who have questions or problems. Retention is the process of preventing customers from leaving or switching to competitors. Collections is the process of recovering unpaid debts from customers who are delinquent or defaulting on their obligations. These are all business issues that can benefit from using the Next-Best-Action strategy. Verified References: [Pega Decisioning Consultant | Pega Academy]

Volume constraints allow you to limit the number of times an action is presented to customers across one or more channels. You can use volume constraints to implement the requirement that customers do not receive more than four promotional emails per quarter, regardless of past responses to that action by the customer. You can configure the volume constraint to limit the number of actions per channel per quarter and select the option to ignore previous responses. Outbound channel limits are used to limit the number of customers contacted per channel per run, not per quarter. Suppression policies are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases, not based on the number of times the action is presented. Suitability rules are used to determine whether an action is suitable for a customer based on their propensity, priority, or other criteria, not based on the number of times the action is presented. 

Paul cannot see the Reward card offer because he rejected other credit card offers twice on the web channel and once in contact center in the past 15 days. This triggers the first contact policy that suppresses a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days. The Reward card offer is part of the credit card group, so it is suppressed for Paul for 30 days. The second contact policy that suppresses the Reward card offer for 7 days if it is rejected twice in any channel in the last 7 days does not apply because Paul did not reject the Reward card offer twice in any channel in the last 7 days. Verified References: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies system Following is the description of the image that was sent with question no:5:

This is a screenshot of a table with four columns and two rows.

The table has a header row with white text on a blue background.

The header row reads “Constraint name”, “Constraint mode”, “Constraint value”, and “Channel”.

The second row has black text on a white background.

The second row reads “Standard card”, “Return any action that does not exceed”, “100”, and “Daily”.

The table has a gray border and a light blue background.

An audience is a group of customers who share common characteristics or behaviors that are relevant for a business objective. You can use audiences to target specific customers with specific offers or treatments. In this case, the bank wants to advertise a new mortgage refinance offer to the customers who live in the eastern region of the country, so creating an audience based on the location attribute is the best option. Verified References: [Pega Decisioning Consultant | Pega Academy]

To output the most profitable shoe, you need to add a Prioritize component in the blank space. A Prioritize component allows you to rank actions based on one or more properties. In this case, you can rank the shoes based on the Profit property and select the highest ranked shoe as the output. Verified References: Pega Academy - Decisioning Consultant - Prioritizing actions

Pega Customer Decision Hub always selects and prioritizes the most relevant and valuable action for each customer at any given moment, regardless of whether the action is part of a journey or not. A journey is a way to group and organize actions that are related to a common business objective or customer need, but it does not override the Next-Best-Action strategy that determines the best action for each customer. Therefore, if a customer receives an offer that is not included in any journey, it means that the offer is more suitable and beneficial for the customer than any other offer in the journey. Verified References: Pega Decisioning Consultant | Pega Academy

To update the cashback offer, you need to edit the engagement policy and the action details. Editing the engagement policy allows you to add a new channel (SMS) and update the suitability condition (lowering the debt-to-income ratio). Editing the action details allows you to specify the treatment for each channel (web and SMS). Verified References: [Pega Decisioning Consultant | Pega Academy]

The always-on outbound customer engagement paradigm relies on AI to select the best action for each customer at any given time, based on their profile, context, and behavior. You do not need to create separate segments or schedules for different offers or timings. You can configure the primary schedule to run daily and let the AI choose the best action based on engagement policies, such as contact policies, eligibility rules, suitability rules, and arbitration. The AI will also learn from the customer responses and optimize the action selection over time.