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Pegasystems PEGAPCDC86V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Customer Decision Hub | - Business Issues, Groups, and Strategies - Next-Best-Action (NBA) framework |
| Topic 2: Next-Best-Action Designer | - NBA Designer configuration - Action prioritization and proposition management |
| Topic 3: Real-time Decisioning | - Real-time customer interaction handling - Event-driven decision strategies |
| Topic 4: Decisioning Fundamentals | - Decision management concepts - Customer 360 and contextual decisioning |
| Topic 5: Reporting and Analytics | - Insights and reporting dashboards - Decision strategy performance monitoring |
| Topic 6: Arbitration and Strategy Execution | - Arbitration rules and prioritization logic - Real-time container execution |
| Topic 7: Adaptive Models and AI | - Predictive analytics in decisioning - Adaptive learning models |
Pegasystems Pega Certified Decisioning Consultant (PCDC) 86V1 Sample Questions:
1. The following decision strategy outputs the most profitable shoe a retailer can sell. The profit is the selling Price of the shoe, minus the Cost to acquire the shoe.
The details of the shoes are provided in the following table:
What is the number of outputs that each component has?
A) Set-Property=4, Results=4
B) Set-Property=1, Results=4
C) Set-Property=1, Results=1
D) Set-Property=4, Results=1
2. U+ Bank, a retail bank, presents various credit card offers to its customers on its website. The bank uses artificial intelligence (AI) to prioritize the offers based on customer behavior. Since introducing the Gold credit card offer, the offer click through rate propensity has increased to 0.83.
What does the increase in the propensity value most likely indicate?
A) Similar customers have shown interest in the offer.
B) Similar customers have rejected the offer.
C) Similar customers have purchased other offers.
D) Similar customers have ignored the offer.
3. U+ Bank, a retail bank, uses Pega Customer Decision Hub for their one-to-one customer engagement. The bank now wants to change its offer prioritization to consider both business objectives and customer needs.
Which two factors do you configure in the Next-Best-Action Designer to implement this change? (Choose Two)
A) Business levers
B) Contact policies
C) Engagement policies
D) Context weighting
4. An outbound run identifies 150 Standard card offers, 75 on email, and 75 on the SMS channel.
If the following volume constraint is applied, how many actions are delivered by the outbound run?
A) 150
B) 75 emails 25 SMSes
C) 100
D) 75 SMSes and 25 emails
5. U+ Bank wants to offer credit cards only to customers with a low-risk profile. The customers are divided into various risk segments from AAA to CCC. The risk segmentation rules that the business provides use the Age and the customer Credit Score based on the following table. The bank uses a scorecard model to determine the customer Credit Score.
As a decisioning consultant, how do you implement the business requirement?
A) Add a decision table to a decision strategy and reference it in the scorecard component.
B) Add a decision table to a decision strategy and pass the credit score as the parameter.
C) Add the risk segmentation rules in the Results tab of the scorecard rule.
D) Add three contact policies that correspond to the three risk segments.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A,C | Question # 4 Answer: D | Question # 5 Answer: D |





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