Practice Free PEGACPDC25V1 Exam Online Questions
U+ Bank wants to offer credit cards only to low-risk customers. The customers are divided into various risk segments from Good to Very Poor. The risk segmentation rules that the business provides use the Average Balance and the customer Credit Score.
As a decisioning architect, you decide to use a decision table and a decision strategy to accomplish this requirement in Pega Customer Decision Hub™.
Using the decision table, which label is returned for a customer with a credit score of 240 and an average balance 35000?
- A . Very Poor
- B . Good
- C . Fair
- D . Poor
D
Explanation:
Using the decision table, you can find the label for a customer with a credit score of 240 and an average balance of 35000 by following these steps:
Start from the top row and check if the customer’s credit score is less than 150. If yes, then the label is Very Poor. If no, then move to the next row.
Check if the customer’s credit score is less than 175 and their average balance is less than 25000. If yes, then the label is Poor. If no, then move to the next row.
Check if the customer’s credit score is less than 200 and their average balance is less than 50000. If yes, then the label is Fair. If no, then move to the next row.
Check if the customer’s credit score is less than 250 and their average balance is less than 75000. If yes, then the label is Good. If no, then move to the last row.
The last row applies to all other cases that do not match any of the previous conditions. The label for this row is Very Poor.
In this case, the customer’s credit score is not less than 150, so the first row does not apply. The customer’s credit score is less than 175, but their average balance is not less than 25000, so the second row does not apply either. The customer’s credit score is not less than 200, so the third row does not apply. The customer’s credit score is less than 250 and their average balance is less than 75000, so the fourth row applies. Therefore, the label for this customer is Poor.
U+ Bank implemented a customer journey for its customers. The journey consists of five stages. The bank observes that as customers progress through the journey, one customer entered the third stage of the journey, and then received an offer that is not included in any journey.
Which statement explains the cause of this behavior?
- A . The bank implemented upweighting for the third stage.
- B . The customer was not eligible for the last stage of the journey and the system presented an offer outside the journey.
- C . The customer can be involved in only one active journey at a given moment.
- D . The customer always receives the most relevant action, even if an action is not a part of any journey.
D
Explanation:
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 Pega Decisioning Consultant | Pega Academy
Which of the following reasons explains why a customer might receive an action that they already accepted?
- A . The action suitability conditions are not defined.
- B . The volume constraint is not set to exclude previously accepted offers.
- C . The suppression rules are not defined to exclude previously accepted actions.
- D . The actions are filtered based on eligibility.
B
Explanation:
A customer might receive an action that they already accepted if the volume constraint for that action is not configured to exclude previously accepted offers. This option can be enabled by selecting the Exclude previously accepted actions checkbox in the volume constraint configuration. The action suitability conditions are used to determine whether an action is suitable for a customer based on their propensity, priority, or other criteria, not based on their previous responses. The suppression rules are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases, not based on their previous responses. The actions are filtered based on eligibility before applying the volume constraints, so this option does not explain why a customer might receive an action that they already accepted. Verified Certified Pega Decisioning Consultant | Pega Academy, Volume constraints
As a decisioning architect, you advise the board on the business issues for which they must use the Next-Best-Action strategy.
Which three business issues do you recommend? (Choose Three)
- A . Resource Planning
- B . Service
- C . Retention
- D . Collections
- E . Accounting
B, C, D
Explanation:
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 [Pega Decisioning Consultant | Pega Academy]
MyCo, a telecom company, notices that when customers call to check on bill status, 80% of the time, they received the wrong offer promotion, leading to customer dissatisfaction. The company decides to boost customers’ needs in the prioritization formula, to improve sales in the current quarter.
Which arbitration factor do you configure to implement the requirement?
- A . Context weighting
- B . Business weighting
- C . Propensity
- D . Business value
C
Explanation:
The arbitration factor is a parameter that allows you to adjust the weight of each factor in the prioritization expression, based on your business strategy and preferences. The arbitration factor is multiplied by the factor value to calculate the final priority score of each offer for each customer. If you want to boost customers’ needs in the prioritization formula, you can increase the arbitration factor for the propensity, which is the factor that reflects the predicted customer behavior. The higher the arbitration factor for the propensity, the more influence it has on the priority score, making the offers that match customers’ needs more likely to be selected and presented to the customer. Verified [Pega Decisioning Consultant | Pega Academy]
MyCo, a mobile company, uses Pega Customer Decision Hub™ to display offers to customers on its website. The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning architect, what do you configure to select the best offer from both groups based on customer behavior?
- A . Enable a business value in the prioritization formula.
- B . Create an adaptive model rule at the Issue-level.
- C . Ensure that the propensity is enabled in Arbitration tab.
- D . Create a prioritization decision strategy at the Group-level.
C
Explanation:
To select the best offer from both groups based on customer behavior, you need to ensure that the propensity is enabled in Arbitration tab. Propensity is a measure of how likely a customer is to accept an offer, based on their past behavior and profile. By enabling propensity in Arbitration tab, you can compare the propensities of different offers across groups and select the one with the highest propensity as the next best action. Verified Pega Academy – Decisioning Consultant – Arbitrating actions
Introduce a new offer, Twenty-year fixed-rate mortgage.
The following table shows the new engagement policy conditions for both mortgage offers:
What is the best practice to fulfill this change management requirement in the Business Operations Environment?
- A . Create a single change request in the 1:1 Operations Manager portal.
- B . Create a single change request in the Pega Customer Decision Hub portal.
- C . Create two change requests in the 1:1 Operations Manager portal.
- D . Create two change requests: one in the Pega Customer Decision Hub portal and the other in the 1:1 Operations Manager portal.
A
Explanation:
According to the best practice, a single change request should be created in the 1:1 Operations Manager portal, because both changes are related to the engagement policies and propositions that are managed in this portal. The Pega Customer Decision Hub portal is used to design and test the decision strategies, not the engagement policies and propositions. Verified Pega Decisioning Consultant | Pega Academy
Introduce a new offer, Twenty-year fixed-rate mortgage.
The following table shows the new engagement policy conditions for both mortgage offers:
What is the best practice to fulfill this change management requirement in the Business Operations Environment?
- A . Create a single change request in the 1:1 Operations Manager portal.
- B . Create a single change request in the Pega Customer Decision Hub portal.
- C . Create two change requests in the 1:1 Operations Manager portal.
- D . Create two change requests: one in the Pega Customer Decision Hub portal and the other in the 1:1 Operations Manager portal.
A
Explanation:
According to the best practice, a single change request should be created in the 1:1 Operations Manager portal, because both changes are related to the engagement policies and propositions that are managed in this portal. The Pega Customer Decision Hub portal is used to design and test the decision strategies, not the engagement policies and propositions. Verified Pega Decisioning Consultant | Pega Academy
What does a dotted line from a "Group By" component to a "Filter" component mean?
- A . There is a one-to-one relationship between the "Group By" and the "Filter" components.
- B . To evaluate the "Group By" component, the "Filter" component is evaluated first.
- C . A property from the "Group By" is referenced by the “Filter" component.
- D . Information from the "Group By" is copied over to the "Filter" component.
C
Explanation:
A dotted line from a “Group By” component to a “Filter” component means that a property from the “Group By” is referenced by the “Filter” component. For example, if you group customers by age and then filter them by average spending, you need to reference a property from the “Group By” component, such as .pxSegment, in the “Filter” component. A dotted line does not indicate a one-to-one relationship, an evaluation order, or a copying of information between components
HOTSPOT:
As a decisioning architect, you are setting up the action hierarchy for MyCo. Select the correct action hierarchy level for each of the hierarchy items identified.
