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PEGACPDC25V1 Dumps Guide | Latest PEGACPDC25V1 Test Vce

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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

Topic
Details

Topic 1

Decision strategies: Focuses on building decision strategies with business logic to power the decisioning engine.

Topic 2

AI and Arbitration: Explores AI-powered action arbitration, prioritization, and using business levers for action selection.

Topic 3

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 4

Customer Engagement Optimization: Addresses change management, revision management, GenAI brand voice, and action update processes.

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PEGACPDC25V1 Dumps Guide – The Latest Latest Test Vce for Pegasystems PEGACPDC25V1: Certified Pega Decisioning Consultant 25

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Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q100-Q105):

NEW QUESTION # 100
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?

A. Suppression policies
B. Outbound channel limits
C. Suitability rules
D. Volume constraints

Answer: D

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 # 101

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?

A. Fair
B. Good
C. Poor
D. Very Poor

Answer: C

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 # 102
A bank has been running traditional marketing campaigns for many years. One such campaign sends an offer email to qualified customers on day one. On day five, the bank presents a similar offer if the first email is ignored.
If you re-implement this requirement by using the always-on outbound customer engagement paradigm, how do you approach this scenario?

A. Configure the primary schedule to run daily and let the artificial intelligence (AI) choose the best action based on engagement policies.
B. Create an action with a flow that contains two Send Email shapes, one for each email. Set appropriate wait times between the shapes.
C. Configure a primary schedule for the original offer email and setup an ad-hoc schedule to send the second email.
D. Create two segments to identify the target audience for each of the two offer emails: day one, and day five. Set up two schedules per day for the two segments.

Answer: A

Explanation:
The always-on outbound customer engagement paradigm relies on AI to select the best action for each customer at any given time, based on their profile, context, and behavior. You do not need to create separate segments or schedules for different offers or timings. You can configure the primary schedule to run daily and let the AI choose the best action based on engagement policies, such as contact policies, eligibility rules, suitability rules, and arbitration. The AI will also learn from the customer responses and optimize the action selection over time.

NEW QUESTION # 103
MyCo, a telecom company, recently introduced a new mobile handset offer, MyFone 14 Pro, for its premium customers. As the bank has financial targets to meet, the business decides to boost the MyFone 14 Pro offer.
As a decisioning architect, how can you ensure that the MyFone 14 Pro offer is prioritized over other offers?

A. Increase the business weight of the MyFone 14 Pro offer.
B. Increase the starting propensity of the MyFone 14 Pro offer.
C. Increase the business value of the MyFone 14 Pro offer.
D. Increase the context weight of the MyFone 14 Pro offer.

Answer: A

Explanation:
The business weight is a parameter that allows you to manually adjust the priority of an offer based on your business objectives and preferences. The business weight is multiplied by the business value and the propensity to calculate the final priority score of an offer. A higher business weight means a higher priority score, making the offer more likely to be selected and presented to the customer. Therefore, if you want to boost an offer, you can increase its business weight. Verified References: Pega Decisioning Consultant | Pega Academy

NEW QUESTION # 104
U+ Bank follows all engagement policy best practices to present credit card offers on their website. The bank has introduced a new credit card offer, the Rewards card. Anna, an existing customer, currently holds a higher value card, Premier Rewards, and does not see the new Rewards card offer.
What condition possibly prevents Anna from seeing the new Rewards card offer?

A. Suppression rules
B. Applicability
C. Eligibility
D. Suitability

Answer: A

Explanation:
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]

NEW QUESTION # 105
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