[Nov 03, 2024] Valid PEGAPCDC87V1 Test Answers & Pegasystems PEGAPCDC87V1 Exam PDF
Realistic PEGAPCDC87V1 Exam Dumps with Accurate & Updated Questions
NEW QUESTION # 12
U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400. Which strategy component should you use to meet the new requirement?
- A. Set Property
- B. Prioritize
- C. Filter
- D. Group By
Answer: A
NEW QUESTION # 13
U+ Bank, a retail bank, presents various credit card offers to its customers on its website. The bank uses artificial intelligence (AI) to prioritize the offers based on customer behavior. Since introducing the Gold credit card offer, the offer click through rate propensity has increased to 0.83.
What does the increase in the propensity value most likely indicate?
- A. Similar customers have ignored the offer.
- B. Similar customers have purchased other offers.
- C. Similar customers have shown interest in the offer.
- D. Similar customers have rejected the offer.
Answer: C
Explanation:
Propensity Increase: In Pega Customer Decision Hub, propensity indicates the likelihood of a customer responding positively to an offer. A propensity value of 0.83 signifies a high likelihood of customers showing interest in the Gold credit card offer.
Customer Behavior Analysis: The increase to 0.83 suggests that similar customers have demonstrated interest, such as clicking on the offer or engaging with it in some way.
NEW QUESTION # 14
A bank developed a scorecard to automate the loan approval process. In a decision strategy, how do you use the raw score value computed by the scorecard?
- A. Use the pxSegment property
- B. Map a new property in the Score Mapping tab
- C. Use the pyOutcome property
- D. Use the PropertyHasValue function
Answer: B
Explanation:
* Score Mapping Tab - This tab in the scorecard rule is used to map the raw score to a property that can
* be used in decision strategies.
* Steps to Map a New Property:
* Open the scorecard rule in Dev Studio.
* Navigate to the Score Mapping tab.
* Add a new mapping for the raw score to a property (e.g., pyRawScore).
* Save the scorecard rule.
* Using the Mapped Property:
* In the decision strategy, reference the mapped property to utilize the raw score value.
* Apply this property in conditions, filters, or other decision components as needed.
NEW QUESTION # 15
Using Pega Customer Decision Hub, a mobile company transitions from a one-to-many to a one-to-one marketing approach.
The company is introducing a new data plan.
To offer the new data plan, what must the mobile company focus on when implementing the Next-Best-Action paradigm?
- A. Offer the new retention plan for all customers in a certain region
- B. Meet the quarterly targets regardless of customer needs
- C. Customer relevancy and business profitability
- D. Maximize customer churn for low-value customers
Answer: C
Explanation:
When implementing the Next-Best-Action paradigm to offer the new data plan, the mobile company should focus on "Customer relevancy and business profitability." This means that the company needs to ensure that the offers are relevant to individual customers based on their needs, preferences, and behavior, while also aligning these offers with the company's business objectives to ensure profitability. This customer-centric approach leverages Pega's predictive and adaptive analytics to personalize offers and maximize both customer satisfaction and business outcomes.
NEW QUESTION # 16
U+ Bank, a retail bank, wants to include offer related images in the emails that they send to their qualified customers. As a decisioning consultant, what best practice must you follow to include images in the emails?
- A. Provide links to images in the email
- B. Attach images to the email
- C. Embed images in the email directly
- D. Host images on an external server
Answer: A
NEW QUESTION # 17
Reference module: Testing engagement policy conditions using audience simulation. As a Decisioning Consultant, you are tasked with running an audience simulation to test the engagement policy conditions. Which of following statements is true when the simulation scope is Audience simulation with engagement policy and arbitration?
- A. The number of times that an action is presented to customers is displayed
- B. The number of customers who receive an action more than once is displayed
- C. The number of customers who receive more than one action is displayed
- D. The results help optimize strategies to meet specific business goals
Answer: A
Explanation:
Running an audience simulation with engagement policy and arbitration helps optimize strategies:
Purpose of Audience Simulation:
Step 1: Audience simulation in Pega Customer Decision Hub is used to test and analyze how engagement policies and arbitration rules affect customer interactions.
Step 2: It provides insights into the effectiveness of the configured policies and their impact on business goals.
Simulation Scope:
Step 1: When the simulation scope includes engagement policy and arbitration, it evaluates the complete decision process, from filtering eligible actions to prioritizing and presenting the best actions to customers.
Step 2: This comprehensive simulation helps identify potential issues and areas for improvement.
Optimizing Strategies:
Step 1: Analyze the simulation results to understand how engagement policies and arbitration rules influence the distribution of actions across different customer segments.
Step 2: Use the insights gained to adjust strategies, ensuring that they align with business objectives such as maximizing customer engagement, improving conversion rates, or achieving specific financial targets.
Example:
As a Decisioning Consultant, you can run an audience simulation for U+ Bank to test their Credit Card offer strategies. The results will provide valuable data on how well the strategies perform and where adjustments are needed to optimize outcomes.
References:
Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Testing Next-Best-Action configuration with audience simulations" section.
NEW QUESTION # 18
MyCo, a telecom company, wants to send promotional emails to give away phone accessories. The accessories can only be given away in batches of 50. When the stock in a batch is completed, a new batch can be promoted again.
You have decided to use volume constraint to limit the number of actions in a batch. To meet the business requirement, what Reset Interval setting do you select?
- A. Daily
- B. When accessed
- C. Reset Interval does not matter for this scenario
- D. Manual
Answer: D
Explanation:
Volume Constraint Reset Interval: To meet the requirement of giving away phone accessories in batches of
50 and promoting a new batch once the stock in a batch is completed, you should select the "Manual" reset interval. This setting allows manual control over when the constraint is reset, enabling the business to start a new batch promotion as needed.
Implementation: Configure the volume constraint for the promotional emails with the manual reset interval to ensure controlled batch processing.
NEW QUESTION # 19
U+ Bank's marketing department currently promotes various credit card offers by sending emails to qualified customers. The bank wants to limit the number of offers that customers can receive over a given period of time.
In the Answer Area, select the correct artifact you use to implement each requirement.
Answer:
Explanation:
NEW QUESTION # 20
Reference module: Testing engagement policy conditions using audience simulation.
U+ Bank, a retail bank, recently implemented a project in which credit card offers are presented to qualified customers when the customers log in to the web self-service portal. The bank now plans to amend its engagement policy conditions. As a Decisioning Consultant, which simulation do you run to check if the conditions are too broad or narrow for your requirements?
- A. Pega Scenario Planner
- B. Ethical Bias Check
- C. Audience simulation
- D. Persona Testing
Answer: C
Explanation:
Understanding the Requirement:
U+ Bank wants to test the engagement policy conditions to ensure they are neither too broad nor too narrow.
Audience Simulation:
Audience simulation tests the engagement policy conditions by simulating how many customers would receive each action based on the current policy rules.
It helps identify if the policies are effectively filtering the intended customers.
Running the Simulation:
Configure the simulation to include the engagement policy conditions.
Analyze the results to see the percentage of the audience that meets each criterion and receives the actions.
Steps to Run Audience Simulation:
Log in to the Pega Customer Decision Hub portal.
Navigate to the Engagement policy tab.
Select Actions -> Audience simulation.
Create or select a simulation and analyze the results.
Verification from Pega Documentation:
The Pega Customer Decision Hub User Guide outlines the use of audience simulations to test and refine engagement policies.
NEW QUESTION # 21
U+ Bank is currently running outbound communications for home loan offers and credit cards. They have added five new actions to the Credit Cards group. They would like to enable these actions in the email channel. What are the two minimum configurations that must be made? (Choose Two)
- A. Enable the email channel in Next-Best-Action->Channels
- B. Configure each action to reference its own action flow
- C. Configure each action to reference a single action flow
- D. Configure one action with an email treatment.
- E. Configure each action with an email treatment
Answer: C,E
NEW QUESTION # 22
MyCo, a telecommunications company, wants to implement one-to-one customer engagement using Pega Customer Decision Hub. Which of the following real-time channels can the company use to present Next-Best-Actions? (Choose Three)
- A. The call center
- B. SMS
- C. A retail store
- D. Billboard on the company building
- E. Traditional television advertisements
Answer: A,B,C
NEW QUESTION # 23
U+, a retail bank, recently implemented a project in which credit card offers are presented to qualified customers when they log in to the web self-service portal. The bank does not want any bias except to satisfy the eligibility condition Age >=18. As a Decisioning Consultant, how will you configure the ethical bias policy to allow a minimum bias on age?
- A. 0 Gini
- B. No Detection
- C. 0.1 Gini
- D. 0.7 Gini
Answer: C
Explanation:
Ethical Bias Policy Configuration:
* To allow minimal bias on age while ensuring eligibility (Age >= 18), an appropriate Gini coefficient threshold needs to be set.
* The Gini coefficient measures statistical inequality, with 0 representing perfect equality and higher values indicating more bias.
Choosing the Gini Threshold:
* A 0.1 Gini coefficient is a low threshold that allows minimal bias.
* It ensures that the actions are distributed fairly among customers while still respecting the eligibility condition.
Detailed Explanation:
* Setting a 0.1 Gini coefficient allows for slight variations in distribution, which is sufficient to accommodate the Age >= 18 requirement without introducing significant bias.
Verification from Pega Documentation:
* The Pega Customer Decision Hub User Guide explains the use of Gini coefficients for measuring and setting thresholds to control bias in decisioning strategies.
NEW QUESTION # 24
Using Pega Customer Decision Hub, a mobile company transitions from a one-to-many to a one-to-one marketing approach. The company is introducing a new data plan.
Which two channels can the company use to present the new data plan to a customer? (Choose Two)
- A. Retail store
- B. Chatbot
- C. Billboard
- D. Television
Answer: A,B
NEW QUESTION # 25
In a Decisioning Strategy, which decision component is required to enable access to the Customer properties like age, income, etc.?
- A. Set Property
- B. Data Import
- C. None, properties are available
- D. Proposition Data
Answer: B
NEW QUESTION # 26
The U+ Bank marketing department wants to leverage the next-best-action capability of Pega Customer Decision Hub on its website to promote new offers to each customer.
Place the events in the sequential order.
Answer:
Explanation:
NEW QUESTION # 27
U+ Bank decides to introduce a credit cards group by leveraging the Next-Best-Action capability of Pega Customer Decision Hub The bank wants to present the credit card offers through inbound and outbound channels based on the following criteria.
1 Customers must be above the age of 18 to qualify for credit card offers
2. The site offers credit cards only if customers do not explicitly opt-out of any direct marketing for credit cards.
3. The Platinum Card one of the credit card offers, is suitable for customers with debt-to-income ratio < 45 As a decisioning consultant, how do you implement this requirement? In the Answer Area, select the correct engagement policy for each criterion.
Answer:
Explanation:
Explanation:
Correct Engagement Policy Configuration:
* Age
* Engagement policy: Group-level eligibility
* Opt-out
* Engagement policy: Group-level applicability
* Debt-to-income ratio
* Engagement policy: Action-level suitability
* Age
* Group-level eligibility: This criterion determines whether the customer is eligible to receive any credit card offers. Eligibility conditions ensure that only customers meeting the basic criteria (e.g., being above the age of 18) are considered for the offers. This condition applies to all credit card offers within the group.
NEW QUESTION # 28
MyCo, a telecom company, wants to present their customers on Facebook with customer-centric mobile internet offers. What action must MyCo take to meet this business requirement?
- A. Create a Facebook post
- B. Make a call
- C. Send an email
- D. Place a paid ad
Answer: D
NEW QUESTION # 29
U+, a retail bank, does not want to offer a Gold card to customers who already have a Platinum card. Which engagement policy condition best suits this requirement?
- A. Eligibility
- B. Suitability
- C. Applicability
Answer: C
Explanation:
Addressing Test Failures: When persona tests fail after adding new engagement policy conditions, the appropriate step is to analyze the test case failures, update the tests as necessary, and re-execute them until all tests pass. This ensures that the changes made are correctly reflected in the tests and the system functions as expected.
Implementation: Review the failing tests to understand why they failed, adjust the conditions or the expected results, and run the tests again to validate the changes.
NEW QUESTION # 30
U+ Bank wants to send promotional emails related lo credit card offers to their qualified customers. The business intends to use the same action flow template with the desired flow pattern for all credit card actions.
What do you configure to implement this requirement?
- A. File template
- B. Output template
- C. Email treatment
- D. Dynamic template
Answer: D
Explanation:
To use the same action flow template with the desired flow pattern for all credit card actions, you should configure a dynamic template.
* Understanding Dynamic Templates:
* Dynamic Templates: These templates allow you to define a reusable flow pattern that can be applied to multiple actions. They support dynamic configuration of treatments and other flow elements.
* Configuration Steps:
* Step 1: Create a dynamic template in Pega Customer Decision Hub.
* Step 2: Define the flow pattern within the dynamic template, including all necessary steps and treatments.
* Step 3: Apply the dynamic template to each credit card action, ensuring that the flow pattern is consistent across all actions.
* Benefits:
* Using dynamic templates ensures consistency in the flow patterns and simplifies the maintenance process.
* Any updates to the flow pattern can be made in the template and will automatically apply to all actions using that template.
* Example:
* U+ Bank configures a dynamic template for their promotional email flows. This template includes steps for sending the email, waiting for a response, and following up as needed. Each credit card action uses this dynamic template to ensure a consistent customer experience.
References:
* Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Creating and using dynamic templates" section.
* Pega documentation on "Action flow templates and dynamic configuration".
NEW QUESTION # 31
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Pegasystems PEGAPCDC87V1 certification exam is designed to test the knowledge and skills of individuals seeking to become certified Pega decisioning consultants. PEGAPCDC87V1 exam is intended for professionals who have experience in decision-making and customer engagement strategies and are looking to advance their careers in the field of decisioning. PEGAPCDC87V1 exam covers a variety of topics including decisioning architecture, decisioning strategies, decisioning tools, and best practices for decisioning implementation. Passing the PEGAPCDC87V1 exam demonstrates a thorough understanding of Pega decisioning concepts and the ability to apply those concepts to real-world decisioning scenarios.
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