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Pegasystems PEGACPDC25V1 Exam Overview:

Certification Vendor:Pegasystems
Exam Name:Certified Pega Decisioning Consultant 25
Exam Number:PEGACPDC25V1
Related Certifications:Pega Certified System Architect (PCSA)
Pega Certified Senior Decisioning Consultant
Passing Score:70%
Exam Price:$190 USD
Exam Duration:90 minutes
Available Languages:English
Exam Format:Drag-and-drop, Scenario-based, Multiple choice
Certificate Validity Period:2 years
Real Exam Qty:60
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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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Decision strategies: Focuses on building decision strategies with business logic to power the decisioning engine.
Topic 2
  • Contact policy and volume constraints: This domain covers managing contact policies to limit how often customers receive communications, focusing on controlling action exposure and volume in outbound channels while configuring appropriate tracking periods.
Topic 3
  • Next-Best-Action concepts: Covers one-to-one engagement fundamentals, contact center optimization, always-on outbound strategies, and next-best-action optimization.
Topic 4
  • Channels: Covers implementing real-time containers, offer emails, and third-party integrations for multi-channel delivery.

Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q17-Q22):

NEW QUESTION # 17
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?

Answer: D

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 # 18
MyCo, a telecom company, wants to start promoting data plan offers through SMS to qualified customers. The marketing team needs to ensure that the outbound run always uses the latest customer information.
What do you configure to implement this requirement?

Answer: A


NEW QUESTION # 19
The U+ Bank marketing department wants to leverage the next-best-action capability of Pega Customer Decision Hub on Its website to promote new offers to each customer.
Place the events in the sequential order.

Answer:

Explanation:

1 - The website invokes the real-time container before loading the account page.
2 - Customer Decision Hub evaluates offers from the associated issue/group.
3 - Customer Decision Hub returns the resulting offer details to the website.
4 - The website loads the account page with the content returned by Customer Decision Hub.


NEW QUESTION # 20
The U+ Bank marketing department currently promotes various home loan offers to qualified customers. Now, the bank does not want customers to receive more than four promotional emails per quarter, regardless of past responses to that action by the customer.
Which option allows you to implement the business requirement?

Answer: C

Explanation:
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.


NEW QUESTION # 21
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, enabled the web channel, and defined a new real-time container trigger in the Next- Best-Action Designer What else do you configure for the new treatments to be present in the next-best-action recommendations?

Answer: C


NEW QUESTION # 22
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