Exam Code: PEGAPCDC87V1
Language: English | French
Retirement Date: N/A
Number of Questions: 60 Questions
Duration: 1 hr 30 mins
Passing Score: 70%
The Certified Pega Decisioning Consultant certification is for professionals participating in the design and development of a Pega Customer Decision Hub™ solution. This certification ensures you have the skills to apply design principles of Next-Best-Action Designer, Decision Strategies, and Predictive Analytics. The exam includes multiple choice, scenario, and drag/drop questions.
Prerequisites
Decisioning Consultant
Next-Best-Action concepts (9%)
One-to-one customer engagement
Optimize the customer value in the contact center
Essentials of always-on outbound
Define the starting population
Actions and treatments (14%)
Define and manage customer actions
Present a single offer on the web
Define an action for outbound
Engagement policies (11%)
Define customer engagement policies
Create an engagement strategy
Contact policy and volume constraints (12%)
Avoid overexposure of actions
Avoid overexposure of actions on outbound
Limit action volume on outbound
AI and Arbitration (9%)
Action arbitration
Action prioritization with AI
Prioritize actions with business levers
Channels (11%)
Real-time containers
Create a real-time container
Send offer emails
Share action details with third-party distributors
Decision strategies (26%)
Create and understand decision strategies
Create engagement strategies using customer credit score
Create eligibility rules using customer risk segments
Business agility for 1:1 customer engagement (9%)
Agility in a customer engagement project
Change management process
Building your business operations team
Life cycle of a change request
Change request types
Launching a new offer on web
Updating existing actions
Implementing business changes in revision management
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Sample Question and Answers
QUESTION 1
When a customer is offered an action that they already accepted, this is because_________.
A. the strategy is not customized to exclude previously accepted offers
B. there are no suppression rules defined
C. the actions are filtered based on eligibility
D. the customer intent was captured incorrectly
Answer: A
Explanation:
ï‚ꞏ Identify the issue: When a customer receives an offer they have already accepted, it suggests that
the decision strategy did not consider previous interactions.
ï‚ꞏ Check strategy customization: Strategies in Pega CDH can be customized to include rules that prevent the same offer from being presented again.
ï‚ꞏ Confirm the exclusion of previous offers: Specifically, you need to ensure that there is a suppression rule or a logic to check the Interaction History to exclude previously accepted offers.
ï‚ꞏ Reference: Refer to the section on “Next-Best-Action Designer constraints” and “Engagement policies” in the Pega Customer Decision Hub User Guide. These sections explain how to configure rules to prevent repetitive offersï‚ꞏ.
QUESTION 2
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:
According to the decision strategy, what is the output of component in the blank space highlighted in red?
A. Nike, Adidas, Puma, Reebok
B. Reebok, Puma, Adidas, Nike
C. Reebok
D. Nike
Answer: C
Explanation:
ï‚ꞏ Understand the strategy objective: The decision strategy is designed to output the most profitable shoe. The profit is calculated as Profit = Price – Cost.
ï‚ꞏ Evaluate the provided data:
Nike: Profit = $69 – $59 = $10
Adidas: Profit = $65 – $45 = $20
Puma: Profit = $85 – $65 = $20
Reebok: Profit = $75 – $50 = $25
ï‚ꞏ Determine the most profitable shoe: According to the calculations, Reebok has the highest profit ($25).
ï‚ꞏ Fill in the blank: Therefore, the output of the component in the blank space highlighted in red should be Reebok, which has the highest profit.
ï‚ꞏ Reference: The strategy design and output decision rules are outlined in the sections on “Understanding Next-Best-Action Designer arbitration” and “Next-Best-Action strategy framework components” in the Pega Customer Decision Hub User Guideï‚ꞏ.
QUESTION 3
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=1, Results=4
B. Set-Property=4, Results=4
C. Set-Property=1, Results=1
D. Set-Property=4, Results=1
Answer: B
Explanation:
Set-Property Component: This component performs the calculation of profit for each of the four
brands (Nike, Adidas, Puma, Reebok). Since the Set-Property component is configured to calculate
profit for each brand individually, it processes four inputs, resulting in four outputs.
Reference: Pega Decisioning and Strategy documentation indicates that each input passing through
the Set-Property component results in a corresponding output, reflecting the application of the
defined operation to each input.
Results Component: This component collects the outputs from the Set-Property component and
simply passes them through, leading to four outputs.
Reference: Based on the decision strategy framework, the Results component consolidates the
outputs from the prior component and maintains the count of outputs it receives.
Thus, both components handle and produce outputs corresponding to each brand processed, which are four in total
QUESTION 4
U+ Bank uses a scorecard rule in a decision strategy to compute the mortgage limit for a customer.
U+ Bank updated their scorecard to include a new property in the calculation: customer income.
What changes do you need to make in the decision strategy for the updated scorecard to take effect?
A. Remap the scorecard property in the decision strategy for the change to take effect.
B. Add a new Group By component for the mortgage limit calculation.
C. The score calculation is independent of the strategy and no change is required.
D. A new proposition filter needs to be configured in the strategy to filter on customer income.
Answer: A
Explanation:
Updating Scorecard in Decision Strategy: When a scorecard rule is updated to include a new property
such as customer income, it is essential to reflect this change in the decision strategy. The scorecard
properties must be correctly mapped to ensure the new calculations are utilized.
Reference: According to Pega’s guidelines for integrating scorecard updates within decision
strategies, any changes in the scorecard attributes require remapping within the decision strategy to
ensure the new data is correctly processed and utilized in decision-making.
QUESTION 5
To reference a customer property in a strategy, you need to prefix the property name with the keyword______________.
A. ” .”
B. “Customer.”
C. “Data.”
D. No prefix. Use directly the property name.
Answer: B
Explanation:
Referencing Customer Properties: In Pega decision strategies, customer properties are accessed by
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