- 60 Actual Exam Questions
- Compatible with all Devices
- Printable Format
- No Download Limits
- 90 Days Free Updates
Get All Certified Pega Decisioning Consultant 8.8 Exam Questions with Validated Answers
Vendor: | Pegasystems |
---|---|
Exam Code: | PEGACPDC88V1 |
Exam Name: | Certified Pega Decisioning Consultant 8.8 |
Exam Questions: | 60 |
Last Updated: | October 5, 2025 |
Related Certifications: | Pega Certified Decisioning Consultant |
Exam Tags: | Foundational level Decisioning Consultants and Business Analysts |
Looking for a hassle-free way to pass the Pegasystems Certified Pega Decisioning Consultant 8.8 exam? DumpsProvider provides the most reliable Dumps Questions and Answers, designed by Pegasystems certified experts to help you succeed in record time. Available in both PDF and Online Practice Test formats, our study materials cover every major exam topic, making it possible for you to pass potentially within just one day!
DumpsProvider is a leading provider of high-quality exam dumps, trusted by professionals worldwide. Our Pegasystems PEGACPDC88V1 exam questions give you the knowledge and confidence needed to succeed on the first attempt.
Train with our Pegasystems PEGACPDC88V1 exam practice tests, which simulate the actual exam environment. This real-test experience helps you get familiar with the format and timing of the exam, ensuring you're 100% prepared for exam day.
Your success is our commitment! That's why DumpsProvider offers a 100% money-back guarantee. If you don’t pass the Pegasystems PEGACPDC88V1 exam, we’ll refund your payment within 24 hours no questions asked.
Don’t waste time with unreliable exam prep resources. Get started with DumpsProvider’s Pegasystems PEGACPDC88V1 exam dumps today and achieve your certification effortlessly!
MyCo, a telecom company, notices that when customers call to check on bill status, 80% of the time, they received the wrong offer promotion, leading to customer dissatisfaction. The company decides to boost customers' needs in the prioritization formula, to improve sales in the current quarter.
Which arbitration factor do you configure to implement the requirement?
The arbitration factor is a parameter that allows you to adjust the weight of each factor in the prioritization expression, based on your business strategy and preferences. The arbitration factor is multiplied by the factor value to calculate the final priority score of each offer for each customer. If you want to boost customers' needs in the prioritization formula, you can increase the arbitration factor for the propensity, which is the factor that reflects the predicted customer behavior. The higher the arbitration factor for the propensity, the more influence it has on the priority score, making the offers that match customers' needs more likely to be selected and presented to the customer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
The following decision strategy outputs the most profitable shoe a retailer can sell. The profit is the selling Prices of the shoe, minus the Cost to acquire the shoe.
The details of the shoes are provided in the following table:
The details of the shoes are provided in the following table:
To output the most profitable shoe, which component do you add in the blank space that is highlighted in red?
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?
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?
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 Reference: [Pega Decisioning Consultant | Pega Academy]
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
Security & Privacy
Satisfied Customers
Committed Service
Money Back Guranteed