PEGACPDC88V1 Free Certification Exam Material from 2Pass4sure with 60 Questions [Q21-Q36]

admin • January 11, 2024

PEGACPDC88V1 Free Certification Exam Material from 2Pass4sure with 60 Questions [Q21-Q36]

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PEGACPDC88V1 Free Certification Exam Material from 2Pass4sure with 60 Questions

Use Real PEGACPDC88V1 – 100% Cover Real Exam Questions

QUESTION 21
U+ Bank implemented a customer journey for its customers. The journey consists of five stages. The bank observes that as customers progress through the journey, one customer entered the third stage of the journey, and then received an offer that is not included in any journey.
Which statement explains the cause of this behavior?

The bank implemented upweighting for the third stage.

The customer was not eligible for the last stage of the journey and the system presented an offer outside the journey.

The customer can be involved in only one active journey at a given moment.

The customer always receives the most relevant action, even if an action is not a part of any journey.

Pega Customer Decision Hub always selects and prioritizes the most relevant and valuable action for each customer at any given moment, regardless of whether the action is part of a journey or not. A journey is a way to group and organize actions that are related to a common business objective or customer need, but it does not override the Next-Best-Action strategy that determines the best action for each customer. Therefore, if a customer receives an offer that is not included in any journey, it means that the offer is more suitable and beneficial for the customer than any other offer in the journey. Verified Reference: Pega Decisioning Consultant | Pega Academy

QUESTION 22
1yCo, a telecom company, wants to start promoting data plan offers through SMS to qualified customers. The marketing team needs to ensure that the outbound run always uses the latest customer information.
What do you configure to implement this requirement?

Select the Refresh the audience checkbox.

Trigger an external Extract-Transform-Load (ETL) process.

Select a different audience sample with a similar profile.

Run the starting population segment daily.

To implement this requirement, you need to select the Refresh the audience checkbox in the outbound run configuration. This option allows you to refresh the audience data before each run by executing a data flow that reads from your customer data source and updates your customer data set. This way, you can ensure that the outbound run always uses the latest customer information available in your system. Verified Reference: Pega Academy – Decisioning Consultant – Configuring outbound runs

QUESTION 23
MyCo, a telecom company, wants to introduce a new group of offers called Tablets for all customers. As a decisioning architect, which two valid actions do you create? (Choose Two)

Tablet serial number

Netflix subscription for 12 months

Tablet operating system

5% discount on the price

To introduce a new group of offers called Tablets for all customers, you need to create valid actions that represent propositions that you want to present to your customers. In this case, two valid actions are Netflix subscription for 12 months and 5% discount on the price. These are examples of benefits or incentives that can attract customers to buy tablets from MyCo. Tablet serial number and tablet operating system are not valid actions because they are not propositions that can be offered to customers; they are attributes or features of the tablets themselves. Verified Reference: Pega Academy – Decisioning Consultant – Creating actions and treatments

QUESTION 24
U+ Bank, a retail bank, has purchased Pega Customer Decision Hub. The bank currently uses an external tool to design email content and a third-party email service provider to send emails to its customers.
As a decisioning architect, how do you recommend the bank implements this requirement?

Create an external email treatment and use an external tool to design the email.

Create an external email treatment and use Customer Decision Hub to design the email.

Create an internal email treatment and import the email content HTML.

Create an internal email treatment and use Customer Decision Hub to design the email.

QUESTION 25
U+ 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?

Suppression rules

Suitability

Applicability

Eligibility

Suppression rules are used to prevent customers from seeing offers that are not relevant or appropriate for them. For example, if a customer already has a higher value card, they should not see a lower value card offer. Therefore, suppression rules are the most likely condition that prevents Anna from seeing the new Rewards card offer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]

QUESTION 26
To access a property from an unconnected component, you use the

customer-dot-property construct

property value

component-dot-property construct

dot-property value directly

To access a property from an unconnected component, you use the component-dot-property construct. For example, if you want to access the property .Rank from an unconnected component named ActionRanking, you use ActionRanking.Rank. Verified Reference: Pega Academy – Decisioning Consultant – Accessing properties from unconnected components

QUESTION 27
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?

Order

Propensity

Rank

Priority

Propensity is the name of the property that the system computes automatically when you use an Adaptive Model decision component. Propensity is a measure of how likely a customer is to accept an action, based on their past behavior and profile. An Adaptive Model component uses machine learning to calculate the propensity for each action and store it in a property with the same name as the action. Verified Reference: Pega Academy – Decisioning Consultant – Using adaptive models

QUESTION 28
MyCo, a telecom company, recently introduced a new mobile handset offer, MyFone 14 Pro, for its premium customers. As the bank has financial targets to meet, the business decides to boost the MyFone 14 Pro offer.
As a decisioning architect, how can you ensure that the MyFone 14 Pro offer is prioritized over other offers?

Increase the business weight of the MyFone 14 Pro offer.

Increase the starting propensity of the MyFone 14 Pro offer.

Increase the context weight of the MyFone 14 Pro offer.

Increase the business value of the MyFone 14 Pro offer.

The business weight is a parameter that allows you to manually adjust the priority of an offer based on your business objectives and preferences. The business weight is multiplied by the business value and the propensity to calculate the final priority score of an offer. A higher business weight means a higher priority score, making the offer more likely to be selected and presented to the customer. Therefore, if you want to boost an offer, you can increase its business weight. Verified Reference: Pega Decisioning Consultant | Pega Academy

QUESTION 29
What does a dotted line from a “Group By” component to a “Filter” component mean?

There is a one-to-one relationship between the “Group By” and the “Filter” components.

To evaluate the “Group By” component, the “Filter” component is evaluated first.

A property from the “Group By” is referenced by the “Filter” component.

Information from the “Group By” is copied over to the “Filter” component.

A dotted line from a “Group By” component to a “Filter” component means that a property from the “Group By” is referenced by the “Filter” component. For example, if you group customers by age and then filter them by average spending, you need to reference a property from the “Group By” component, such as .pxSegment, in the “Filter” component. A dotted line does not indicate a one-to-one relationship, an evaluation order, or a copying of information between components

QUESTION 30
A decisioning architect wants to use the customer properties income and age in a Filter component. Which decision component is required to enable access to these properties?

Proposition Data

Set Property

None, properties are available

Data Import

To enable access to customer properties in a Filter component, you need to use a Data Import component. A Data Import component allows you to read data from various sources, such as data sets, data pages, or data flows, and make it available for other components in the strategy. In this case, you need to use a Data Import component that reads from a customer data source that contains income and age properties. Verified Reference: Pega Academy – Decisioning Consultant – Importing data

QUESTION 31
The following decision strategy outputs the most profitable shoe a retailer can sell. The profit is the selling Prices of the shoe, minus the Cost to acquire the shoe.
The details of the shoes are provided in the following table:

The details of the shoes are provided in the following table:

To output the most profitable shoe, which component do you add in the blank space that is highlighted in red?

Filter

Group By

Decision table

Prioritize

To output the most profitable shoe, you need to add a Prioritize component in the blank space. A Prioritize component allows you to rank actions based on one or more properties. In this case, you can rank the shoes based on the Profit property and select the highest ranked shoe as the output. Verified Reference: Pega Academy – Decisioning Consultant – Prioritizing actions

QUESTION 32
U+ Bank wants to offer credit cards only to low-risk customers. The customers are divided into various risk segments from Good to Very Poor. The risk segmentation rules that the business provides use the Average Balance and the customer Credit Score.
As a decisioning architect, you decide to use a decision table and a decision strategy to accomplish this requirement in Pega Customer Decision Hub™.
Using the decision table, which label is returned for a customer with a credit score of 240 and an average balance 35000?

Very Poor

Good

Fair

Poor

Using the decision table, you can find the label for a customer with a credit score of 240 and an average balance of 35000 by following these steps:
Start from the top row and check if the customer’s credit score is less than 150. If yes, then the label is Very Poor. If no, then move to the next row.
Check if the customer’s credit score is less than 175 and their average balance is less than 25000. If yes, then the label is Poor. If no, then move to the next row.
Check if the customer’s credit score is less than 200 and their average balance is less than 50000. If yes, then the label is Fair. If no, then move to the next row.
Check if the customer’s credit score is less than 250 and their average balance is less than 75000. If yes, then the label is Good. If no, then move to the last row.
The last row applies to all other cases that do not match any of the previous conditions. The label for this row is Very Poor.
In this case, the customer’s credit score is not less than 150, so the first row does not apply. The customer’s credit score is less than 175, but their average balance is not less than 25000, so the second row does not apply either. The customer’s credit score is not less than 200, so the third row does not apply. The customer’s credit score is less than 250 and their average balance is less than 75000, so the fourth row applies. Therefore, the label for this customer is Poor.

QUESTION 33
As a decisioning architect, you are setting up the action hierarchy for MyCo. Select the correct action hierarchy level for each of the hierarchy items identified.

QUESTION 34
U+ Bank, a retail bank, uses the business operations environment to perform its business changes. The bank completes these changes by using revision management features of Pega Customer Decision Hub™ and 1:1 Operations Manager.
Customers see credit card offers based on various engagement policies on the U+ Bank website. The bank wants to update the underlying decision strategy of an engagement policy condition.
According to best practices, which statement correctly describes the implementation of the change to fulfill this business requirement?

A next-best-action specialist modifies the decision strategy in Customer Decision Hub.

A next-best-action specialist modifies the decision strategy in 1:1 Operations Manager.

A next-best-action designer modifies the decision strategy in 1:1 Operations Manager.

A next-best-action designer modifies the decision strategy in Customer Decision Hub.

According to the best practice, a next-best-action designer should modify the decision strategy in Customer Decision Hub, because the decision strategy is part of the next-best-action framework that defines how to select and prioritize propositions for each customer. The 1:1 Operations Manager portal is used to manage the engagement policies and propositions, not the decision strategies. Verified Reference: Pega Decisioning Consultant | Pega Academy

QUESTION 35
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 architect, how do you implement the business requirement?

Add a decision table to a decision strategy and reference it in the scorecard component.

Add the risk segmentation rules in the Results tab of the scorecard rule.

Add three contact policies that correspond to the three risk segments.

Add a decision table to a decision strategy and pass the credit score as the parameter.

To implement the business requirement, you need to add a decision table to a decision strategy and pass the credit score as the parameter. A decision table allows you to define rules based on one or more input parameters and return an output value. In this case, you can use the credit score as an input parameter and return the risk category/grade as an output value. You can then use this output value to filter out customers who are not in the low-risk segment (AAA). Verified Reference: Pega Academy – Decisioning Consultant – Using decision tables

QUESTION 36
Bank uses Pega Customer Decision Hub™ to approve credit card limit changes requested by customers automatically.
A scorecard model determines the customer credit score.
The automatic approval of credit card limits are processed based on the following criteria set by the bank.

The bank wants to change the threshold value for the USD2000 credit limit from <175 to <200. How do you implement this change?

Change the cutoff value in the Results tab of the scorecard decision component.

Change in the strategy the condition from .pxSegment <=175 to .pxSegment <=200.

Map the score value in the decision strategy to <=200.

Change the cutoff value in the Results tab of the scorecard model.

The scorecard model determines the customer credit score based on various factors, such as income, expenses, assets, liabilities, etc. The scorecard model has a Results tab where you can define the cutoff values for different segments based on the credit score. To change the threshold value for the USD2000 credit limit from <175 to <200, you need to change the cutoff value in the Results tab of the scorecard model. Changing the cutoff value in the scorecard decision component, changing the condition in the strategy, or mapping the score value in the decision strategy will not affect the credit score calculation or segmentation.

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