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The PEGAPCDC87V1 exam is designed for consultants who work with Pegasystems decisioning software. PEGAPCDC87V1 exam covers a wide range of topics, including decision strategies, data management, and predictive analytics. It also covers the technical aspects of working with the software, such as configuring decision tables and implementing decision services. PEGAPCDC87V1 Exam is designed to test the knowledge and skills of consultants who work with the software on a daily basis.

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Pegasystems Certified Pega Decisioning Consultant (PCDC) 87V1 Sample Questions (Q46-Q51):

NEW QUESTION # 46
U+ Bank has recently started using Pega Customer Decision Hub to display the first credit card offer, the Standard card, to every customer who logs in to their website.
Which three tasks do you need to perform to implement this requirement? (Choose Three)

A. Create the action and its web treatment
B. Create and configure the real-time container
C. Define customer engagement polices
D. Set up business structure to Sales/CreditCards
E. Define customer contact policies

Answer: A,B,D

Explanation:
Business Structure: Setting up the business structure to Sales/CreditCards ensures that the actions and offers are correctly categorized and managed within the appropriate business context.
Real-Time Container: Creating and configuring a real-time container is necessary for presenting the credit card offer to customers in real-time as they log in to the website.
Action and Web Treatment: Defining the action and configuring its web treatment ensures that the offer is ready to be displayed to the customers, complete with the necessary details and presentation format.

NEW QUESTION # 47
You are the decisioning consultant on an Al-powered one-to-one customer engagement implementation project. You are asked to design the next-best-action prioritization expression that balances the customer needs with the business objectives.
What factor do you consider in the prioritization expression?

A. Offer eligibility
B. Predicted customer behavior
C. Customer contact policy
D. Offer relevancy

Answer: B

NEW QUESTION # 48
Reference module: Testing engagement policy conditions using audience simulation U+ Bank, a retail bank, recently implemented a project in which mortgage offers are presented to qualified customers when the customers log in to the web self-service portal. As one of the offers is not performing well, the business wants to understand how many customers qualify for the offer. As a Decisioning Consultant, which simulation do you run to check how many customers qualify for an action?

A. Ethical Bias Check
B. Persona Testing
C. Audience simulation
D. Pega Scenario Planner

Answer: C

Explanation:
To check how many customers qualify for a mortgage offer, you should run an audience simulation.
Audience simulations help in testing engagement policies and understanding the eligibility of different customer segments for specific actions, allowing the business to gauge the reach and effectiveness of their offers.

NEW QUESTION # 49
Pega customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?

A. Predicting the time of a machine failure
B. Determining if a borrow gets a loan
C. Optimizing supply chain management
D. Determining how to optimize inventories

Answer: B

Explanation:
Next-Best-Action in Pega Customer Decision Hub is primarily applied to customer engagement and decisioning scenarios:
* Purpose of Next-Best-Action:
* Step 1: Next-Best-Action aims to provide personalized recommendations and decisions that are most relevant to the customer at any given moment.
* Step 2: It uses predictive and adaptive analytics to determine the most appropriate actions based on customer data and business rules.
* Application in Loan Decisions:
* Step 1: In the context of determining if a borrower gets a loan, Next-Best-Action evaluates various factors such as creditworthiness, loan history, and current financial status.
* Step 2: It leverages AI models to assess the risk and likelihood of repayment, ensuring that loan offers are extended to eligible and suitable customers.
* Implementation Steps:
* Step 1: Set up decision strategies in Pega Customer Decision Hub to include criteria for loan eligibility, such as credit scores and income levels.
* Step 2: Configure predictive models to analyze customer data and predict loan approval probabilities.
* Step 3: Use engagement policies to ensure that the loan offers are aligned with business objectives and regulatory requirements.
* Benefits:
* Applying Next-Best-Action to loan decisions helps in making data-driven and objective decisions, reducing the risk of defaults and improving customer satisfaction by offering relevant financial products.
References:
* Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Understanding Next-Best-Action Designer basics" section.
* Pega documentation on "Decision management and AI in financial services".

NEW QUESTION # 50
U+ Bank, a retail bank, uses the always-on outbound approach to send outbound messages on different channels such as email, SMS, and push notifications. There are a variety of action flow patterns in use to meet various business and channel integrations requirements.
Due to technical reasons, the bank wants to temporarily suspend sending outbound messages and instead write the selected customers and action details to a database table for later offline processing.
What is the most efficient way to meet this requirement?

A. Update the Send shape with Finalization.
B. Add a new Send shape in all the action flows.
C. Bypass action flow processing.
D. Set up a secondary schedule.

Answer: A

NEW QUESTION # 51
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Pdf PEGAPCDC87V1 Exam Dump - Reliable PEGAPCDC87V1 Exam Dumps

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Pegasystems Certified Pega Decisioning Consultant (PCDC) 87V1 Sample Questions (Q46-Q51):

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