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Certified Pega Decisioning Consultant Free Sample Questions

19 free sample questions165 in the full practice test Other version: PEGACPDC24V1(240)

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PEGACPDC88V1 Sample Questions

  1. Question 1

    A financial services firm is implementing Pega Customer Decision Hub to provide next-best-actions for wealth management clients. The firm needs to integrate real-time stock market fluctuation data from an external API into their decision strategies. The goal is to adjust the suitability of investment product offers based on market volatility. Which sequence of components in a decision strategy is the most efficient and scalable approach to achieve this?

    Answer and explanation

    Correct answer: D

    This is the most efficient approach. It first narrows down the set of potential actions using a Filter component, which reduces the data volume. It then makes a single, targeted real-time API call using a Data Join shape configured with a Connect-REST rule. The retrieved volatility data is then mapped to a property, which is subsequently used in a Decision Table to evaluate suitability. This sequence minimizes external API calls and processes only the relevant propositions, ensuring low latency and high scalability.

  2. Question 2

    A telecom company has deployed an adaptive model to predict the propensity for customers to accept a new 5G data plan offer. After several weeks in production, a decisioning architect observes that the model's performance is consistently low, and the success rate is not improving. The model's evidence count is increasing, but the propensity scores for most customers remain near the initial starting value. What is the most likely cause of this issue?

    Answer and explanation

    Correct answer: C

    Adaptive models learn by analyzing the outcomes of actions recorded in the Interaction History. If the success outcome ('Accepted') is not being captured correctly, the model receives no positive evidence. It only sees impressions and possibly rejections ('Clicked' but not 'Accepted'). Without positive responses, the model cannot identify the predictors that lead to success and will therefore fail to improve its predictions, causing propensity scores to stagnate.

  3. Question 3

    Multiple answers

    An e-commerce company wants to implement a comprehensive contact policy to prevent customer fatigue. They have the following requirements:

    1. No customer should receive more than 3 marketing emails in any 7-day period.
    2. No customer should receive more than 1 SMS message in any 24-hour period.
    3. If a customer receives an SMS, they should not receive an email for the next 48 hours.

    Which two engagement policy configurations are required to meet these requirements? (Select TWO)

    Answer and explanation

    Correct answers: B, D

    This is necessary to handle the distinct limits for each channel (3 emails in 7 days, 1 SMS in 24 hours).

    This is required to implement the cross-channel dependency (no email for 48 hours after an SMS).

  4. Question 4

    A large retail bank is using 1:1 Operations Manager to manage business changes for their credit card offers. The marketing team has submitted an urgent change request to update the introductory APR on the 'Platinum Rewards' card from 0% to 1.9% due to a sudden change in federal regulations. This change must be live within 2 hours. A standard revision is already in progress for a non-urgent campaign launching next week. The standard process requires peer review and a full regression test cycle, which takes 24 hours.

    As the lead decisioning architect, what is the best course of action to deploy the urgent APR change while minimizing risk and disruption to the planned revision?

    Answer and explanation

    Correct answer: D

    This is the best practice for handling urgent or emergency changes. Revision Manager allows for multiple revisions to be worked on in parallel. Creating a separate, dedicated revision for the urgent change isolates it from the larger, less urgent campaign work. This allows the critical regulatory change to be tested and deployed rapidly without pulling in unfinished and untested features from the other revision, minimizing risk. After deployment, the change can be incorporated into the main revision to ensure consistency.

  5. Question 5

    True or False: In Pega Customer Decision Hub, a single Action can be associated with multiple treatments, where each treatment is tailored for a different channel (e.g., one for Web, one for Email).

    Answer and explanation

    Correct answer: A

    This is true. An Action represents the core offer or proposition (e.g., '15% Off Home Insurance'). Treatments are the specific ways that Action is rendered in different channels. You would define a Web treatment (e.g., a banner image) and an Email treatment (e.g., HTML content) and associate both with the same Action.

  6. Question 6

    A bank defines its engagement policies for a credit card offer using the standard hierarchy of Applicability, Suitability, and Eligibility. A customer is not receiving the offer, and troubleshooting reveals the following:

    • The customer is over 18 (passes Eligibility).
    • The customer is not an existing cardholder (passes Applicability).
    • The customer's debt-to-income ratio is higher than the allowed threshold.

    Which engagement policy condition is preventing the customer from receiving the offer?

    Answer and explanation

    Correct answer: C

    Suitability rules are used to determine if an action is appropriate for the customer based on their individual circumstances, often related to risk, affordability, or ethical considerations. A high debt-to-income ratio is a classic example of a suitability condition designed to ensure the bank is offering products responsibly. Eligibility (e.g., age) and Applicability (e.g., not having the product already) were both met.

  7. Question 7

    A development team is creating a real-time container to display offers within a new native mobile application. The mobile app has limited screen space compared to the company's website. What is the most critical configuration difference when setting up the container for the mobile channel versus the web channel?

    Answer and explanation

    Correct answer: B

    Real-time containers are configured with a 'Max number of actions' setting. For a web page with a large banner area or carousel, you might return 3-5 offers. However, for a mobile app where screen real estate is at a premium, it is a best practice to configure the container to return only one or two of the absolute best actions to avoid cluttering the user interface.

  8. Question 8

    In the PCV*L arbitration formula, the 'C' component, representing Context Weighting, is primarily used to achieve which objective?

    Answer and explanation

    Correct answer: B

    Context Weighting ('C') allows the system to dynamically increase or decrease the priority of an action based on the current context of the interaction. For example, if a customer is on the 'Billing' page of a website, a 'Paperless Billing' offer's context weight can be increased, making it more relevant and likely to be shown at that specific moment.

  9. Question 9

    Multiple answers

    An insurance company is designing a decision strategy to determine the best welcome package for new auto insurance customers. The strategy needs to:

    1. Access the customer's policy details from the customer data model.
    2. Enrich the case with the customer's loyalty status from a separate database table.
    3. Based on their policy type and loyalty status, assign them to a 'Standard', 'Silver', or 'Gold' welcome package.

    Which three strategy components are essential to build this logic? (Select THREE)

    Answer and explanation

    Correct answers: A, C, E

    The Proposition Data component is required to import the available welcome package actions ('Standard', 'Silver', 'Gold') into the strategy.

    A Data Join component is needed to query the external database table and enrich the strategy with the customer's loyalty status.

    A Decision Table is the ideal component to implement the business logic that maps combinations of policy type and loyalty status to the correct welcome package.

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