PEGACPDC24V1 Sample Questions & Answers
Walks through the Strategy Designer and advanced decision logic, the single biggest weight, plus configuring actions and treatments, engagement policy design, contact and volume limits, channel integration, Next-Best-Action basics, AI arbitration, and optimization.
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- Question 1Intermediate
AI and Arbitration · Predictive Analytics
A marketing team has observed that the performance of an adaptive model, which predicts click-through rates for a web banner, has been steadily declining over the past month. The model's success rate is now below the acceptable threshold. What is the most likely cause for this degradation?
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Correct answer: D
Adaptive models learn and improve by receiving feedback (responses) on their predictions. If the mechanism to feed back these responses (e.g., clicks and no-clicks) is broken, the model cannot learn from new data. This causes its understanding of customer behavior to become stale, leading to performance degradation. This is a common troubleshooting step for underperforming models.
- Question 2Intermediate
Decision Strategies · Strategy Designer Fundamentals
A consultant needs to configure a strategy that first filters a list of propositions based on customer eligibility and then groups the remaining propositions by product line to apply a specific discount to each group. Which sequence of components correctly implements this logic?
flowchart TD A[Start] --> B{Proposition Data} B --> C[?] C --> D[?] D --> E[End]Show answer & explanation
Correct answer: C
The correct logic is to first reduce the set of data to only what is relevant and then perform aggregations or groupings. The Filter component should be used first to apply the eligibility criteria, removing unqualified propositions. The Group By component should then be used on the smaller, filtered dataset to group by product line for the subsequent discount logic. This is more efficient than grouping a large dataset and then filtering.
- Question 3Intermediate
Contact Policy and Volume Constraints · Contact Policy Management
A company is running an always-on outbound campaign. To prevent customer fatigue, they have configured a contact policy to limit customers to one email per week. A high-priority, time-sensitive campaign needs to be sent, and the business wants to bypass this weekly limit for this specific campaign only. How can this be achieved?
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Correct answer: C
Pega provides a specific option within the campaign (or schedule) configuration called 'Override contact policies'. Checking this box allows a specific campaign run to ignore the configured contact policies and suppressions, which is the intended method for sending critical communications that must reach the customer regardless of normal contact limits.
- Question 4Beginner
1:1 Customer Engagement Optimization · Optimization Strategies
A decisioning consultant is designing a customer journey in Pega CDH. The journey should orchestrate a customer's experience from initial interest in a product to post-purchase follow-up. What is the primary purpose of defining stages within this journey?
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Correct answer: A
Stages in a customer journey represent major milestones in the customer's relationship with the business (e.g., Awareness, Consideration, Purchase, Service). The primary function of these stages is to provide context to the Next-Best-Action framework, allowing it to prioritize actions that are most relevant to the customer's current stage in their lifecycle.
- Question 5Beginner
Actions and Treatments · Action Configuration
A business analyst wants to create a new action for a 'Premium Subscription' offer. They need to define the potential revenue this action represents and a starting likelihood for the action to be accepted. In which rule type would they configure these attributes?
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Correct answer: C
The Action rule is the central place to define the core attributes of a proposition. This includes metadata like its business issue and group, as well as key financial data such as 'Action Value' (potential revenue) and behavioral data like 'Default Propensity' (starting likelihood).
- Question 6Beginner
Next-Best-Action Concepts · NBA Fundamentals
In the context of the Next-Best-Action paradigm, what is the primary role of the 'brain'?
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Correct answer: D
The 'brain' is a conceptual term for the centralized decisioning logic in Pega CDH. It encapsulates the strategies, predictive and adaptive models, and business rules that analyze customer context and arbitrate between potential actions to determine and deliver the single Next-Best-Action.
- Question 7Advanced
Decision Strategies · Strategy Designer Fundamentals
A strategy is designed to rank products based on a customer's purchase history. The strategy uses an Iteration component followed by a Ranking component. What is the purpose of the Iteration component in this design?
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Correct answer: B
The Ranking component operates on a flat list of results. When you need to perform ranking within specific groups (e.g., rank products within each category), you first use a Group By component. The output of Group By is a list of aggregated results. The Iteration component then processes each aggregated group one by one, allowing the subsequent Ranking component to perform its function on the items within that specific group.
- Question 8Intermediate
Engagement Policies · Engagement Strategy Design
A decisioning consultant needs to implement a suitability rule that prevents offering investment products to customers identified as 'vulnerable'. This check must be applied to all actions within the 'Wealth Management' business issue. What is the most efficient way to implement this rule?
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Correct answer: D
The Next-Best-Action Designer provides a hierarchy (Business Issue -> Group -> Action) for applying rules. Implementing the suitability rule at the Business Issue level ensures it is automatically inherited and applied to all actions within that issue. This is the most efficient, maintainable, and standard approach, avoiding rule duplication.
- Question 9Intermediate
Contact Policy and Volume Constraints · Volume Optimization
A streaming service wants to use Pega CDH to manage its outbound email campaigns. The business has a strict budget for a new 'Premium Movie' campaign and can only afford to send 500,000 emails. The target segment for this campaign contains over 2 million customers. How should a decisioning consultant configure the campaign to adhere to this limit?
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Correct answer: D
Pega Campaigns have a dedicated feature for managing send volumes. By setting the 'Volume constraint' to 500,000, the system will automatically prioritize the top 500,000 customers from the target segment (based on arbitration) and only generate actions for them, ensuring the budget limit is met.
- Question 10IntermediateSelect 2
AI and Arbitration · Predictive Analytics
What are two key benefits of using Pega's adaptive models over traditional predictive models for determining action propensity? (Select TWO)
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Correct answers: B, D
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