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| Certification Vendor: | Pegasystems |
|---|---|
| Exam Name: | Certified Pega Decisioning Consultant 25 |
| Exam Number: | PEGACPDC25V1 |
| Exam Price: | $190 USD |
| Passing Score: | 70% |
| Exam Format: | Multiple choice, Drag-and-drop, Scenario-based |
| Real Exam Qty: | 60 |
| Related Certifications: | Pega Certified System Architect (PCSA) Pega Certified Senior Decisioning Consultant |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Recommended Training: | Pega Academy Decisioning Consultant Learning Path |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Pegasystems PEGACPDC25V1 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended: knowledge of Pega Platform, Customer Decision Hub, completion of Decisioning Consultant learning mission |
| Official Syllabus URL: | https://academy.pega.com/exam/certified-pega-decisioning-consultant-5 |
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NEW QUESTION # 56
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
Answer: B
Explanation:
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 Reference: Pega Academy - Decisioning Consultant - Using adaptive models
NEW QUESTION # 57 
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?
Answer: A
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.
NEW QUESTION # 58
U+- Bank uses Next-Best-Action Designer to configure engagement policies for different customer segments. A business user wants to create reusable policy conditions that can apply across multiple actions and campaigns. The user must understand when the save-to-library feature is available.
When is the save-to-library option unavailable for engagement policy conditions?
Answer: C
NEW QUESTION # 59
U+ Bank has recently implemented Pega Customer Decision Hub. As a first step, the bank went live with the contact center to improve customer engagement. Now, U+ Bank wants to extend its customer engagement through the web channel. As a decisioning architect, you have created the new set of actions, the corresponding treatments, and defined a new trigger in the Next-Best-Action Designer for the new web channel.
What else do you configure for the new treatments to be present in the next-best-action recommendations?
Answer: A
Explanation:
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 Reference: Pega Academy - Decisioning Consultant - Creating triggers
NEW QUESTION # 60
U+ Bank, a retail bank, is designing an engagement policy for its credit card promotions. To meet legal requirements, the bank must ensure that only customers aged 18 or older are considered for any credit card offer.
Which policy configuration level should U+ Bank use to implement the age requirement (18+ years) for all credit card promotions?
Answer: A
NEW QUESTION # 61
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