PEGACPDC24V1 Certified Pega Decisioning Consultant 24 Practice Questions
Prepare for PEGACPDC24V1 with more than an answer.
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- v1Certified Pega Decisioning Consultant 24 240 questions Current
- PEGACPDC88V1Legacy Certified Pega Decisioning Consultant 165 questions Locked
- Exam fee
- $175 USD
- Level
- Professional
- Valid for
- Non-expiring
Domains covered on the exam 8
- Decision Strategies25%
- Actions and Treatments15%
- Engagement Policies13%
- Contact Policy and Volume Constraints13%
- Next-Best-Action Concepts8%
- AI and Arbitration8%
- Channels10%
- 1:1 Customer Engagement Optimization8%
- 1
A consultant is configuring a web channel interface that will display a personalized banner to visiting customers. Which Pega rule is specifically designed to encapsulate the decisioning logic and serve the Next-Best-Action to this external web application?
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Correct answer: C
A Real-Time Container is the standard mechanism in Pega CDH for exposing decisioning logic to inbound channels like websites and mobile apps. It acts as an API endpoint that external applications can call. The container is configured to trigger a specific decision strategy or Next-Best-Action framework, process the request, and return the arbitrated actions.
- 2
A decisioning consultant is reviewing a colleague's strategy. They notice a Filter component is placed after a complex, resource-intensive sub-strategy that joins multiple data sources. What is the primary issue with this design?
flowchart TD Start --> SubStrategy[Complex Sub-Strategy] --> Filter[Filter] --> EndShow answer details
Correct answer: B
This design is highly inefficient. The best practice is to 'filter early and often'. By placing the Filter component after the complex sub-strategy, the system wastes resources processing a large set of data, only to have much of it thrown away. The Filter should be moved before the sub-strategy to ensure that the resource-intensive logic only runs on the smaller, relevant subset of data.
- 3
True or False: The Interaction History (IH) data store is primarily used to store the results of predictive models for future analysis by data scientists.
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Correct answer: B
This is false. The primary purpose of Interaction History is to store a record of every decision made for a customer, including which actions were presented (impressions) and how the customer responded (e.g., accepted, rejected). This data is then used by adaptive models to learn, by contact policies to manage frequency, and for operational reporting, not primarily for storing predictive model results.
- 4
A new Engagement Policy is created to prevent offering mortgages to customers under the age of 18. Where in the Next-Best-Action Designer hierarchy should this policy be applied to ensure it is enforced for all mortgage-related actions?
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Correct answer: D
The most efficient and maintainable approach is to apply the policy at the highest common point in the hierarchy. Assuming all mortgage actions are organized under a 'Mortgages' group, applying the policy at this level ensures all current and future actions within that group will automatically inherit and enforce the age restriction.
- 5
A consultant is using Prediction Studio to monitor the performance of several adaptive models. They observe that one model has a high performance value but a very low coverage. What does 'low coverage' indicate?
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Correct answer: B
Coverage measures the number of responses a model has received. Low coverage means the model has processed very few responses. While its performance (accuracy on the responses it has seen) might be high, the low volume of evidence means the performance metric is not yet statistically reliable. The model needs to capture more data before its performance can be trusted.
- 6
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?
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Correct answer: C
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.
- 7
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?
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Correct answer: D
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.
- 8
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)
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Correct answer: C, E
- 9
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?
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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.
- 10
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.
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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.
