Free PEGAPCDC87V1 Exam Braindumps (page: 26)

Page 26 of 47

Reference module: Creating and understanding decision strategies.
What does a dotted line from a Group By component to a Filter component mean?

  1. There is a one-to-one relationship between the Group By and Filter components
  2. The Filter component references a property in the Group by component
  3. Evaluate the Filter component first to evaluate the Group by component
  4. Information from the Group By component is copied over to the Filter component

Answer(s): B

Explanation:

Introduction to Group By and Filter Components:
The Group By component groups data based on specified properties, allowing aggregation of data points.
The Filter component is used to include or exclude actions based on specific criteria.
Dotted Line Relationship:

In Pega's visual strategy canvas, a dotted line between two components indicates a reference relationship rather than a direct data flow.
When a dotted line connects a Group By component to a Filter component, it signifies that the Filter component is using a property defined or aggregated in the Group By component.
Functionality
For example, if the Group By component aggregates customer data by region, the Filter component can then use this aggregated data to filter actions for specific regions. This relationship ensures that the filtering process considers the aggregated data, making the decision strategy more dynamic and contextually aware.
Verification from Pega Documentation:
As outlined in Pega's documentation, a dotted line signifies that the Filter component references a property from the Group By component, enabling more complex and accurate decision-making processes.


Reference:

Pega-Customer-Decision-Hub-User-Guide-85.pdf, section on understanding the visual representation and relationships of components in decision strategies.



Reference module: Creating and understanding decision strategies. MyCo, a mobile company, wants you to calculate the total revenue of three new actions offered in the first quarter.
What do you configure to compute the total revenue?

  1. Three Group By components
  2. Three Set property components
  3. A single Group By component
  4. A single Set Property component

Answer(s): C

Explanation:

Requirement for Total Revenue Calculation:
MyCo needs to calculate the total revenue of three new actions over a specified period. The goal is to aggregate the revenue generated by these actions.
Use of Group By Component:
The Group By component is used to aggregate data based on specified properties. In this scenario, it can be configured to sum the revenue of the three new actions.
Configuration Steps:
Configure a single Group By component to group the actions by their identifiers. Use the aggregation function within the Group By component to calculate the sum of the revenue for the grouped actions.
Efficiency and Simplicity:
Using a single Group By component simplifies the strategy by avoiding redundancy. It ensures that all actions are considered in a single aggregation process, providing an accurate total revenue calculation.
Verification from Pega Documentation:
According to Pega's guidelines, a single Group By component can efficiently compute total values such as revenue by grouping and aggregating data.


Reference:

Pega-Customer-Decision-Hub-User-Guide-85.pdf, section on using Group By components for aggregation in decision strategies.



Reference module: Creating engagement strategies using customer credit score. MyCo, a mobile company, uses a scorecard rule in a decision strategy to compute the postpaid credit limit for a customer. MyCo updated their scorecard to include a new property in the calculation:
customer annual income.As a Strategy Designer, what changes do you need to make to the decision strategy for the updated scorecard to take effect?

  1. Remap the <Customer.annual customer income> property in the decision strategy
  2. Add a Set-Property component to set the annual customer income
  3. No change required
  4. Configure a new proposition filter in the strategy to filter on annual customer income

Answer(s): C

Explanation:

Context of Scorecard Update:
MyCo updated their scorecard rule to include a new property, customer annual income, for computing the postpaid credit limit.
This update affects how the scorecard calculates the credit limit.
Impact on Decision Strategy:
The scorecard rule automatically includes the new property in its calculations. The decision strategy references the scorecard rule as a whole, not individual properties.
Reason for No Change Required:
Since the scorecard rule is updated independently, the decision strategy using this rule will automatically reflect the new calculations.
There is no need to manually update the decision strategy to accommodate this change.
Verification from Pega Documentation:
Pega's documentation confirms that updates to scorecard rules are automatically integrated into decision strategies using those rules.


Reference:

Pega-Customer-Decision-Hub-User-Guide-85.pdf, section on managing and updating scorecard rules within decision strategies.



Reference module: Adding more tracking time periods for contact policies. A bank is currently displaying a group of mortgage offers to its customers on their website. The bank wants to suppress the mortgage group for 15 days if a customer ignores three offers from the mortgage group. How do you define the suppression rule for this requirement?

  1. Suppress an action for 15 days if there are 3 impressions for any channel without a click
  2. Suppress a group of actions for 15 days if there are 3 rejects for any channel
  3. Suppress an action for 15 days if there are 3 rejects for web channel
  4. Suppress a group of actions for 15 days if there are 3 impressions for the web channel without a click

Answer(s): D

Explanation:

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.


Reference:

Pega-Customer-Decision-Hub-User-Guide-85.pdf, section on setting up and managing suppression rules and contact policies.



Page 26 of 47



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