PEGACPDC88V1 Exam Dumps - Certified Pega Decisioning Consultant 8.8 V1

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

Suppression rules are used to prevent customers from seeing offers that are not relevant or appropriate for them. For example, if a customer already has a higher value card, they should not see a lower value card offer. Therefore, suppression rules are the most likely condition that prevents Anna from seeing the new Rewards card offer. Verified References: [Pega Decisioning Consultant | Pega Academy]

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.

The outbound run delivers 75 emails and 25 SMSes for the Standard card offer because the volume constraint is set to limit the number of actions per channel per day. The email channel has a limit of 75 actions per day, so all 75 email offers are delivered. The SMS channel has a limit of 25 actions per day, so only 25 SMS offers are delivered. The remaining 50 SMS offers are not delivered because they exceed the volume constraint.

In a decision strategy, to use a customer property in an expression, you need to define Customer page in Pages & Classes and specify its class as Data-Customer. This allows you to access customer properties by using dot notation, such as Customer.Age or Customer.Gender. You do not need to define the property as a strategy property, use it without any prefix, or prefix it with the keyword Customer. Verified References: [Certified Pega Decisioning Consultant | Pega Academy], Decision strategies

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]

To achieve this requirement, you need to ensure that two tasks are complete in the Channel tab of the Next-Best-Action Designer: enable a web channel and map the real-time container to a business structure level. A web channel is a type of channel that allows you to deliver actions and treatments to your customers through your website or web app. You need to enable a web channel and configure its settings, such as authentication, security, and response format. A real-time container is a configuration that defines how to deliver actions and treatments to a specific channel. You need to map the real-time container that contains the Reward Card offer to a business structure level, such as Top-level or Issue-level, so that it can be available for delivery through the web channel. Verified References: [Pega Academy - Decisioning Consultant - Configuring channels], [Pega Academy - Decisioning Consultant - Configuring real-time containers]

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 introduce a new group of offers called Tablets for all customers, you need to create valid actions that represent propositions that you want to present to your customers. In this case, two valid actions are Netflix subscription for 12 months and 5% discount on the price. These are examples of benefits or incentives that can attract customers to buy tablets from MyCo. Tablet serial number and tablet operating system are not valid actions because they are not propositions that can be offered to customers; they are attributes or features of the tablets themselves. Verified References: Pega Academy - Decisioning Consultant - Creating actions and treatments

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

Propensity is the name of the property that the system computes automatically when you use an Adaptive Model decision component. Propensity is a measure of how likely a customer is to accept an action, based on their past behavior and profile. An Adaptive Model component uses machine learning to calculate the propensity for each action and store it in a property with the same name as the action. Verified References: Pega Academy - Decisioning Consultant - Using adaptive models

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

According to the best practice, a next-best-action designer should modify the decision strategy in Customer Decision Hub, because the decision strategy is part of the next-best-action framework that defines how to select and prioritize propositions for each customer. The 1:1 Operations Manager portal is used to manage the engagement policies and propositions, not the decision strategies. Verified References: Pega Decisioning Consultant | Pega Academy