Covers the Strategy Designer and decision logic, actions and treatment personalization, engagement strategies, contact policy and volume constraints, Next-Best-Action concepts, and AI arbitration.
20 free sample questions240 in the full practice test Other version: PEGACPDC88V1(165)
A retail bank is designing a decision strategy to present credit card offers on its public website. To minimize latency, the strategy must avoid performing complex calculations on the entire customer base in real-time. Which strategy component is most suitable for efficiently retrieving pre-calculated customer segments at the beginning of the strategy flow?
Answer and explanation
Correct answer: D
The most performant approach is to pre-calculate complex data, such as customer segments, in a batch data flow and store the results in a Decision Data Store (DDS). The real-time strategy can then use a Data Import component to efficiently look up the segment for the customer in context, avoiding heavy processing during the live interaction.
Question 2
A telecommunications company uses the standard PCV*L arbitration formula. To counter a competitor's new product launch, the marketing team wants to temporarily increase the priority of their 'Unlimited Data Plan' action for the next month, regardless of individual customer propensity. Which is the most appropriate and maintainable method to achieve this boost?
Answer and explanation
Correct answer: C
Business Levers (the 'L' in PCV*L) are designed specifically for this purpose. They allow business users to apply a strategic uplift or down-weight to actions without altering the underlying models (Propensity) or financial attributes (Value). This is the correct, intended mechanism for temporary strategic adjustments.
Question 3
Multiple answers
A decisioning consultant is configuring Engagement Policies for a banking application. The goal is to ensure that customers are only shown offers they qualify for and that are appropriate for their current context. Which two policy types must be configured to meet this requirement? (Select TWO)
Answer and explanation
Correct answers: A, C
Question 4
A global insurance company, 'SecureLife,' is implementing Pega Customer Decision Hub to personalize communications across its web portal, mobile app, and call center. The primary goal is to provide consistent, context-aware Next-Best-Actions (NBAs) regardless of the channel the customer uses.
SecureLife has a legacy system that calculates a daily 'Risk Score' for each customer. This score is critical for determining eligibility for certain insurance products. The business requires that this Risk Score be available to all real-time decisioning strategies with minimal latency. Additionally, to avoid customer annoyance, a new contact policy must be implemented: a customer who has been contacted via email in the last 7 days should not receive another email offer, but they can still see offers on the web portal.
The project team is concerned about performance, as the real-time channels must respond within 200 milliseconds. The customer data volume is large, with over 20 million customer profiles. The team needs a solution that is both performant and correctly implements the business logic for NBA and contact policies.
Which architectural approach best meets SecureLife's requirements for performance, data integration, and channel-specific contact policies?
Answer and explanation
Correct answer: B
This is the optimal solution. Ingesting the 'Risk Score' into the Customer Profile Designer (part of the Customer Analytic Record - CAR) makes it available with low latency for real-time strategies. Using a Contact Policy with a channel-specific suppression rule is the correct, out-of-the-box way to manage contact frequency per channel without affecting other channels. This approach is both performant and uses Pega's standard features correctly.
Question 5
True or False: In Pega Customer Decision Hub, an Action can have multiple Treatments, but a Treatment can only be associated with a single Action.
Answer and explanation
Correct answer: A
This statement is true. The data model in Pega CDH is hierarchical. An Action (the 'what', e.g., 'Offer 10% Discount') can have many Treatments (the 'how', e.g., 'Email version', 'SMS version', 'Web banner version'). However, each Treatment is specific to one Action and cannot be shared across different Actions.
Question 6
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?
Answer and explanation
Correct answer: B
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 7
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]
Answer and explanation
Correct answer: B
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 8
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?
Answer and explanation
Correct answer: B
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 9
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?
Answer and explanation
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 10
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?
Answer and explanation
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).
