Pegasystems PEGACPDC25V1 Certified Pega Decisioning Consultant 25 Exam Practice Test

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 References: Certified Pega Decisioning Consultant | Pega Academy, Volume constraints

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]

A priority communication is a type of outbound interaction that allows you to send urgent messages to customers that are not related to any specific offer or proposition. You can use priority communications to inform customers about important events or changes that affect their relationship with your organization. In this case, the bank wants to share the new temporary contact details with all customers over an SMS, so creating a priority communication is the best option. Verified References: [Pega Decisioning Consultant | Pega Academy]

The score calculation is independent of the strategy and no change is required. When you use a scorecard component in a decision strategy, you only need to specify the name of the scorecard rule and the output property that will store the score value. The scorecard rule itself defines how the score is calculated based on the input properties and factors. Therefore, if you update the scorecard rule to include a new property in the calculation, you do not need to make any changes in the decision strategy for the updated scorecard to take effect. Verified References: [Pega Academy - Decisioning Consultant - Using scorecards]

An engagement policy condition is a rule that determines whether a customer is eligible, applicable, or suitable for an offer. You can use engagement policy conditions to filter customers based on their attributes or behaviors. In this case, the bank wants to offer a Gold credit card to customers who have an annual income of more than USD150000, so creating an engagement policy condition based on the income attribute is the best option. Verified References: [Pega Decisioning Consultant | Pega Academy]

To access a property from an unconnected component, you use the component-dot-property construct. For example, if you want to access the property .Rank from an unconnected component named ActionRanking, you use ActionRanking.Rank. Verified References: Pega Academy - Decisioning Consultant - Accessing properties from unconnected components

CUST-05 receives the Diamond card offer because it is the only action that does not exceed the volume constraint for the email channel. The Silver card offer has already reached its limit of 2 emails per day, so it is not eligible for CUST-05. The volume constraint mode Return any action that does not exceed means that any action that meets the eligibility and suitability criteria and does not violate the volume constraint will be returned, even if there are other actions with higher priority or propensity. Verified References: Certified Pega Decisioning Consultant | Pega Academy, Volume constraints

To implement this requirement, you need to configure a dynamic template in Customer Decision Hub. A dynamic template is a type of template that allows you to define a common action flow pattern for a group of actions that share similar characteristics, such as channel, issue, or group. You can specify which properties and components are required for each action in the group, and how they are mapped to the action flow template. This way, you can reuse the same action flow template for all the credit card actions, while still allowing some variations in their content and configuration. Verified References: Pega Academy - Decisioning Consultant - Creating dynamic templates

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. 

When you create a new trigger in the Next-Best-Action Designer, Pega Customer Decision Hub automatically generates a decision strategy for that trigger and channel. You do not need to create or modify any strategies manually. Verified References: Pega Academy - Decisioning Consultant - Creating triggers

Pega Customer Decision Hub is a dynamic and adaptive system that constantly reevaluates the Next-Best-Action for each customer based on their interactions and feedback. If a customer rejects an offer, the system will update the customer profile and the offer performance, and then reapply the Next-Best-Action strategy to select and prioritize another offer that is more relevant and valuable for the customer. Verified References: [Pega Decisioning Consultant | Pega Academy]

A close-up of a task AI-generated content may be incorrect.

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 a policy that restricts the number of emails sent per day. Outbound channel limits are used to limit the number of customers contacted per channel per run, not per day. Suppression rules are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases. Applicability rules are used to determine whether an action is relevant for a customer based on their profile or context, not based on the number of times the action is presented. Verified References: Certified Pega Decisioning Consultant | Pega Academy, Volume constraints

A screenshot of a survey AI-generated content may be incorrect.

Aggregation components are used to perform calculations on a list of actions, such as sum, average, count, minimum, or maximum. For example, you can use an aggregation component to calculate the total value of all the actions in a group. Verified References: Pega Academy - Decisioning Consultant - Aggregating actions

To present offers from the two groups, you must map a real-time container to the Top-level or Issue-level. A real-time container is a configuration that defines how to deliver offers and treatments to a specific channel, such as a website or a mobile app. By mapping a real-time container to the Top-level or Issue-level, you can enable all the offers under that level to be available for delivery through that channel. Verified References: Pega Academy - Decisioning Consultant - Configuring real-time containers

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

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.

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