Guide (New 2024) Actual Pegasystems PEGAPCDC87V1 Exam Questions
PEGAPCDC87V1 Exam Dumps Pass with Updated 2024 Certified Exam Questions
NEW QUESTION # 26
U+ Bank's marketing department wants to promote various auto loan offers to qualified customers on its website by using the Pega Customer Decision Hub. The bank wants to show the offers on the customer's account page when customers log in to their account. The bank has defined several conditions customers must satisfy to see these auto loan offers.
As a decisioning consultant, which two of the following configurations do you implement to achieve the business requirement? (Choose Two)
- A. Set up the business structure
- B. Define contact policy rules
- C. Create a decision strategy
- D. Create a segment
- E. Send promotional emails
Answer: A,B
NEW QUESTION # 27
MyCo, a telecom company, notices that when customers call to check on bill status, 80% of the time, they received the wrong offer promotion, leading to customer dissatisfaction. The company decides to boost customers' needs in the prioritization formula, to improve sales in the current quarter.
Which arbitration factor do you configure to implement the requirement?
- A. Business weighting
- B. Context weighting
- C. Action value
- D. Propensity
Answer: B
NEW QUESTION # 28
In Pega Customer Decision Hub, the characteristics of an action are defined by using
- A. plain text
- B. properties
- C. logos
- D. banners
Answer: B
NEW QUESTION # 29
U+ Bank, a retail bank, presents offers on its website by using Pega Customer Decision Hub. The bank wants to leverage Customer Decision Hub capabilities to present relevant offers to qualified customers. As a decisioning consultant, you are responsible for configuring the business requirements with the Next-Best-Action Designer, which involves several tasks. To accomplish these tasks, you might have to use auto-generated decision strategies, create new decision strategies, or edit existing strategies.
In the Answer Area, select the correct execution for each Task.
Answer:
Explanation:
NEW QUESTION # 30
HOTSPOT
U+ Bank, a retail bank, has introduced a credit cards group with Gold card and Platinum card offers.
The bank wants to present these two offers based on the following criteria:
1. For both cards, customers must be above the age of 18
2. Offer both cards only if the customer does not explicitly opt-out of any direct marketing for credit cards
3. Platinum card is suitable for customers with the Credit Score > 500
As a decisioning consultant, how do you implement this requirement? In the Answer Area, select the correct engagement policy for each criterion.
Answer:
Explanation:
NEW QUESTION # 31
U+ Bank, a retail bank, has introduced a credit cards group with Gold card and Platinum card offers. The bank wants to present these two offers based on the following criteria:
1. For both cards, customers must be above the age of 18
2. Offer both cards only if the customer does not explicitly opt-out of any direct marketing for credit cards
3. Platinum card is suitable for customers with the Credit Score > 500
As a decisioning consultant, how do you implement this requirement? In the Answer Area, select the correct engagement policy for each criterion.
Answer:
Explanation:
NEW QUESTION # 32
U+ Bank wants to offer credit cards only to customers with a low-risk profile. The customers are divided into various risk segments from AAA to CCC. The risk segmentation rules that the business provides use the Age and the customer Credit Score based on the following table. The bank uses a scorecard model to determine the customer Credit Score.
As a decisioning consultant, how do you implement the business requirement?
- A. Add three contact policies that correspond to the three risk segments.
- B. Add the risk segmentation rules in the Results tab of the scorecard rule.
- C. Add a decision table to a decision strategy and pass the credit score as the parameter.
- D. Add a decision table to a decision strategy and reference it in the scorecard component.
Answer: C
Explanation:
* Business Requirement: The need is to implement risk segmentation rules based on age and credit score.
* Decision Table Integration: The decision table can be added to the decision strategy where it will evaluate the credit score and age, and then assign the appropriate risk segment.
* Parameter Passing: The decision table within the strategy will use the credit score passed to it as a parameter to determine the segmentation.
References: Pega's methodology for incorporating decision tables into strategies for evaluating and segmenting customers based on specific criteria is well documented in the user guides .
NEW QUESTION # 33
A bank is currently displaying a group of mortgage offers to its customers on their website. The bank wants to suppress the mortgage group for 1 month if a customer ignores three mortgage offers within that group. How do you define the suppression rule for this requirement?
- A. Suppress a group of actions for 30 days if there are 3 impressions for the web channel without a click
- B. Suppress an action for 30 days if there are 3 rejects for web channel
- C. Suppress an action for 30 days if there are 3 impressions for any channel without a click
- D. Suppress a group of actions for 30 days if there are 3 rejects for any channel
Answer: D
Explanation:
Context: The bank wants to suppress mortgage offers if a customer ignores three offers within a group for one month.
Suppression Rule: In Pega, suppression rules are defined to manage overexposure to customers.
Implementation: The suppression rule should be set at the group level to ensure the entire group of mortgage actions is suppressed for 30 days after three rejections.
Pega Configuration: The configuration for suppression rules supports this requirement by allowing the setting of a threshold for rejections across any channel, thus making option A the correct choice.
NEW QUESTION # 34
A volume constraint is configured to apply constraints to actions as a group rather than for each action individually. A customer qualifies for 3 actions, and the volume limit on the top-ranked action is above zero, the limits on the 2 lower-ranked actions have been reached. Given this scenario, how many actions will be selected for the customer in the outbound run?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION # 35
Reference module: Analyzing customer distribution using Pega Value Finder.
Myco, a telco, is working on implementing a project in which post-paid offers are presented to qualified customers. In the build stage of the ideation, the business wants to look for new opportunities to improve marketing. As a Decisioning Consultant, which simulation do you run to meet the requirement?
- A. Audience Simulation
- B. Distribution Test
- C. Pega Scenario Planner
- D. Pega Value Finder
Answer: D
NEW QUESTION # 36
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. Billboard
- B. Chatbot
- C. Retail store
- D. Television
Answer: B,C
Explanation:
One-to-One Marketing Channels: As the company transitions to a one-to-one marketing approach, leveraging various channels is essential to effectively present new offers like a data plan.
* Retail Store: Offers can be presented directly to customers through in-store interactions, allowing personalized recommendations based on their profile and behavior.
* Chatbot: Automated chatbots can engage customers in real-time on digital platforms, offering personalized data plans based on customer interactions and preferences.
NEW QUESTION # 37
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 shown interest in the offer.
- B. Similar customers have ignored the offer.
- C. Similar customers have purchased other offers.
- D. Similar customers have rejected the offer.
Answer: A
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 # 38
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. Applicability
- B. Suitability
- C. Eligibility
Answer: C
NEW QUESTION # 39
U+ Bank, a retail bank, follows all engagement policy best practices to present credit card offers on their website. The bank has introduced a new credit card offer, the Rewards card. Anna, an existing customer, currently holds a higher value card. Premier Rewards, and does not see the new Rewards card offer.
What condition possibly prevents Anna from seeing the new Rewards card offer?
- A. Suitability
- B. Applicability
- C. Eligibility
- D. Suppression rules
Answer: B
NEW QUESTION # 40
U+ Bank, a retail bank, is currently presenting a cashback offer on its website. Currently, only the customers who satisfy the following engagement policy conditions receive the cashback offer.
While continuing cross-selling on the web, the bank now wants to present the cashback offer through a new channel, SMS. The bank also wants to update the suitability condition by lowering the threshold of the debt-to-income ratio from 48 to 45 As business user, what are the two tasks that you define to update the cashback offer? (Chose Two)
- A. Add a new treatment
- B. Edit the engagement policy
- C. Remove existing treatment
- D. Edit the action details
- E. Edit an existing treatment
Answer: A,B
NEW QUESTION # 41
Traditionally, segments were used to identify the target audience for a campaign. In the always-on approach, segments translate into _______.
- A. engagement policies and AI
- B. segmentation
- C. actions and treatments
- D. contact policies
Answer: A
NEW QUESTION # 42
U+, a retail bank, has recently implemented a project in which credit card offers are presented to qualified customers when they log in to the web self-service portal. They have unit-tests in place using persona tests.
The bank has recently added new engagement policy conditions to present credit cards to qualified customers and re executed the tests. They see failures in the tests. What do they do next?
- A. Accept that some of the tests are failing because of the changes
- B. Analyze test case failures, change them and re execute until everything is green
- C. Revert the engagement policy rules so that the persona tests not failing
- D. Remove the failing tests to ensure everything is green
Answer: B
NEW QUESTION # 43
When a customer offered an action that they already accepted, this is because ______.
- A. The actions arc filtered based on eligibility
- B. There are no suppression rules defined
- C. The customer intent was captured incorrectly
- D. The strategy is not customized to exclude previously accepted offers
Answer: D
Explanation:
When a customer is offered an action they have already accepted, it is typically because the decision strategy has not been configured to exclude such offers:
* Strategy Customization:
* Step 1: Ensure that the decision strategy includes logic to filter out actions that the customer has already accepted.
* Step 2: Use customer interaction history to identify previously accepted offers and exclude them from the list of eligible actions.
* Implementation Steps:
* Step 1: Add a filter component in the strategy to check the customer's interaction history for accepted offers.
* Step 2: Configure the filter to exclude any actions that match the accepted offers.
* Step 3: Connect this filter to the rest of the strategy to ensure that only new or unaccepted actions are considered.
* Benefits:
* Customizing the strategy to exclude previously accepted offers improves customer experience by preventing redundant or irrelevant offers.
* It ensures that customers are always presented with new and relevant opportunities, enhancing engagement and satisfaction.
* Example:
* If a customer has already accepted a credit card offer, the strategy should filter out this offer in future interactions to avoid presenting the same offer again.
References:
* Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Configuring Next-Best-Action Designer for Pega Customer Service" section.
* Pega documentation on "Creating and understanding decision strategies".
NEW QUESTION # 44
Through analysis of customer lifecycles, Next-Best-Action ________
- A. anticipates retention issues
- B. identifies global sales targets
- C. provides fulfillment services
- D. provides future sales reports
Answer: A
NEW QUESTION # 45
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. Define customer contact policies
- B. Create and configure the real-time container
- C. Define customer engagement polices
- D. Create the action and its web treatment
- E. Set up business structure to Sales/CreditCards
Answer: B,D,E
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 # 46
To calculate the total number of customer responses of four actions in a group, you must use________________.
- A. four Set Property components
- B. one Set Property component
- C. four Group By components
- D. one Group By component
Answer: D
Explanation:
Grouping Actions: To calculate the total number of customer responses of four actions in a group, you need to use one Group By component. This component can aggregate responses across multiple actions within a strategy.
Implementation: Add a Group By component to the decision strategy, configure it to group by the desired property, and aggregate the responses from the four actions.
NEW QUESTION # 47
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The PEGAPCDC87V1 exam is a comprehensive exam that covers a wide range of topics related to Pega Decisioning. These topics include understanding the Pega Decisioning architecture, designing decision-making strategies, implementing decision-making strategies, and troubleshooting Pega Decisioning applications. PEGAPCDC87V1 exam is designed to test the consultant's ability to apply their knowledge of Pega Decisioning in real-world scenarios.
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