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Free PEGAPCDC87V1 Exam Braindumps (page: 23)

Page 22 of 47
PDF with 184 Questions

U+, a retail bank, has recently implemented a project in which credit card offers are presented to qualified customers when they log in to the web self-service portal. To show the offers per the bank's requirements, the bank added all existing contact policy conditions.
What is the immediate next step they should take?

  1. Go live for all customers and check the performance on a weekly basis
  2. Add unit tests using persona testing before going live
  3. Conduct numerous what-if simulations before going live
  4. Go live for a limited number of customers and check the performance on a daily basis

Answer(s): B

Explanation:

Contact Policy Conditions - U+ Bank has added all existing contact policy conditions, ensuring that offers comply with set business rules.
Unit Tests with Persona Testing - Before going live, it is essential to validate the implementation through persona-based unit tests. This helps verify that the strategy gives the expected results for different customer personas.
Process:
Design test personas that represent various customer segments. Run tests to ensure that each persona receives appropriate offers. Validate the expected outcomes, ensuring no regressions or policy breaches.


Reference:

Pega Customer Decision Hub User Guide 8.7, Section "Testing Next-Best-Action configuration with persona testing," provides detailed steps on how to configure and run persona tests .



U+ Bank wants to leverage Pega Customer Decision Hub's Next Best Action capability to promote new offers to each customer who visits the website based on eligibility. For this requirement, the bank needs to define several complex eligibility criteri

  1. As a decision consultant, how would you configure this requirement?
  2. Use Prediction Studio to configure the requirement
  3. Make changes to the Next-Best-Action Framework decision strategy
  4. Create new decision strategies
  5. Configure suppression rules in Next-Best-Action Designer

Answer(s): B

Explanation:

Next-Best-Action Framework - This framework in Pega CDH is designed to decide the best action for each customer interaction by evaluating eligibility, suitability, and propensity. Complex Eligibility Criteria - To define complex eligibility criteria, modifications are needed within the Next-Best-Action decision strategy to handle multiple conditions and business rules.
Steps:
Access the Next-Best-Action Designer.
Navigate to the decision strategy.
Add or modify components to incorporate complex eligibility conditions. Test and validate the changes using persona tests and simulations.


Reference:

Pega Customer Decision Hub User Guide 8.5, Section "Next-Best-Action strategy framework,"

describes how to modify decision strategies to include complex eligibility criteria .



A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy.
What is the minimum number of Proposition Data components he needs to use in his strategy?

  1. twelve
  2. two
  3. one
  4. three

Answer(s): B

Explanation:

Proposition Data Components - These components in a decision strategy are used to import and reference actions or propositions.
Requirement - The strategy designer wants to import all actions from one group and a subset from another.
Minimum Number Calculation:
One component for importing all 10 actions from the Sales/Credit Cards group. Another component for importing the 2 specific actions from the Sales/Mortgages group.


Reference:

Pega Customer Decision Hub User Guide 8.6, Section on configuring and using Proposition Data components in strategies .



U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400.
Which strategy component should you use to meet the new requirement?

  1. Filter
  2. Prioritize
  3. Group By
  4. Set Property

Answer(s): A

Explanation:

Customer Lifetime Value (CLV) - The bank wants to offer a discount based on the customer's CLV. Filter Component - The Filter component is used in decision strategies to include or exclude actions based on specific criteria, such as CLV.
Implementation:
Add a Filter component in the decision strategy.
Configure the filter to check if the CLV value is greater than 400.

If true, proceed with the 10% discount offer.


Reference:

Pega Customer Decision Hub User Guide 8.5, Section "Filter component," explains how to configure filters based on customer properties like CLV .






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