Verified PEGACPDC88V1 dumps Q&As 100% Pass in First Attempt Guaranteed Updated Dump from DumpsQuestion [Q35-Q52]

Verified PEGACPDC88V1 dumps Q&As 100% Pass in First Attempt Guaranteed Updated Dump from DumpsQuestion

Pass Pega Decisioning Consultant PEGACPDC88V1 Exam With 60 Questions

Pegasystems PEGACPDC88V1 (Certified Pega Decisioning Consultant 8.8 V1) Certification Exam is a professional certification for individuals who work with Pega Decisioning. Pega Decisioning is a Pega Platform application that enables businesses to make informed decisions based on real-time data. Certified Pega Decisioning Consultant 8.8 V1 certification exam is designed to validate an individual's knowledge and skills in using Pega Decisioning to create effective decision-making strategies for businesses.

NEW QUESTION # 35
A bank has been running traditional marketing campaigns for many years. One such campaign sends an offer email to qualified customers on day one. On day five, the bank presents a similar offer if the first email is ignored.
If you re-implement this requirement by using the always-on outbound customer engagement paradigm, how do you approach this scenario?

A. Create an action with a flow that contains two Send Email shapes, one for each email. Set appropriate wait times between the shapes.
B. Create two segments to identify the target audience for each of the two offer emails: day one, and day five. Set up two schedules per day for the two segments.
C. Configure the primary schedule to run daily and let the artificial intelligence (AI) choose the best action based on engagement policies.
D. Configure a primary schedule for the original offer email and setup an ad-hoc schedule to send the second email.

Answer: C

Explanation:
The always-on outbound customer engagement paradigm relies on AI to select the best action for each customer at any given time, based on their profile, context, and behavior. You do not need to create separate segments or schedules for different offers or timings. You can configure the primary schedule to run daily and let the AI choose the best action based on engagement policies, such as contact policies, eligibility rules, suitability rules, and arbitration. The AI will also learn from the customer responses and optimize the action selection over time.

NEW QUESTION # 36
You are a deaccessioning architect on a next-best-action project and are responsible for designing and implementing decision strategies. Select each component on the left and drag it to the correct requirement on the right.

Answer:

Explanation:

NEW QUESTION # 37
U+ Bank uses a scorecard rule in a decision strategy to compute the mortgage limit for a customer. U+ Bank updated their scorecard to include a new property in the calculation: customer income.
What changes do you need to make in the decision strategy for the updated scorecard to take effect?

A. The score calculation is independent of the strategy and no change is required.
B. A new proposition filter needs to be configured in the strategy to filter on customer income.
C. Remap the scorecard property in the decision strategy for the change to take effect.
D. Add a new Group By component for the mortgage limit calculation.

Answer: A

Explanation:
The score calculation is independent of the strategy and no change is required. When you use a scorecard component in a decision strategy, you only need to specify the name of the scorecard rule and the output property that will store the score value. The scorecard rule itself defines how the score is calculated based on the input properties and factors. Therefore, if you update the scorecard rule to include a new property in the calculation, you do not need to make any changes in the decision strategy for the updated scorecard to take effect. Verified Reference: [Pega Academy - Decisioning Consultant - Using scorecards]

NEW QUESTION # 38
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. A next-best-action specialist modifies the decision strategy in 1:1 Operations Manager.
B. A next-best-action specialist modifies the decision strategy in Customer Decision Hub.
C. A next-best-action designer modifies the decision strategy in 1:1 Operations Manager.
D. A next-best-action designer modifies the decision strategy in Customer Decision Hub.

Answer: D

Explanation:
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

NEW QUESTION # 39
MyCo, a mobile company, uses Pega Customer Decision Hub™ to display offers to customers on its website. The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.

The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning architect, what must you do to present offers from the two groups?

A. Set contact limits for both the groups.
B. Enable an engagement policy for the second group.
C. Create a decision strategy at the Issue-level
D. Map a real-time container to the Top-level or Issue-level.

Answer: D

Explanation:
To present offers from the two groups, you must map a real-time container to the Top-level or Issue-level. A real-time container is a configuration that defines how to deliver offers and treatments to a specific channel, such as a website or a mobile app. By mapping a real-time container to the Top-level or Issue-level, you can enable all the offers under that level to be available for delivery through that channel. Verified Reference: Pega Academy - Decisioning Consultant - Configuring real-time containers

NEW QUESTION # 40
U+ Bank's marketing department currently promotes various home loan offers to qualified customers. Now, the bank does not want to show offers on a customer's account page if the customer has already received three home loan offers in the last two weeks.
What do you need to define to implement the business requirement?

A. Applicability rules
B. Volume constraints
C. Customer contact limits
D. Suppression policy

Answer: D

Explanation:
A suppression policy allows you to define conditions that prevent customers from receiving an action or a group of actions. You can use a suppression policy to implement the requirement that customers do not see home loan offers on their account page if they have already received three home loan offers in the last two weeks. You can configure the suppression policy to suppress the home loan group based on the number of times the customer received any action from that group in the past 14 days. Applicability rules are used to determine whether an action is relevant for a customer based on their profile or context, not based on the number of times they received an action. Customer contact limits are used to limit the number of times a customer can be contacted per channel per time period, not based on the number of times they received an action. Volume constraints are used to limit the number of times an action is presented to customers across one or more channels, not based on the number of times they received an action. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies

NEW QUESTION # 41
MyCo, a telecom company, developed a new data plan group to suit the needs of its customers. The following table lists the three data plan actions and the criteria that customers must satisfy to qualify for the offer:

Answer:

Explanation:

NEW QUESTION # 42
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. Context weighting
B. Business weighting
C. Business value
D. Propensity

Answer: D

Explanation:
The arbitration factor is a parameter that allows you to adjust the weight of each factor in the prioritization expression, based on your business strategy and preferences. The arbitration factor is multiplied by the factor value to calculate the final priority score of each offer for each customer. If you want to boost customers' needs in the prioritization formula, you can increase the arbitration factor for the propensity, which is the factor that reflects the predicted customer behavior. The higher the arbitration factor for the propensity, the more influence it has on the priority score, making the offers that match customers' needs more likely to be selected and presented to the customer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]

NEW QUESTION # 43
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)

A. Netflix subscription for 12 months
B. Tablet operating system
C. Tablet serial number
D. 5% discount on the price

Answer: A,D

Explanation:
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

NEW QUESTION # 44
As a Customer Service Representative, you present an offer to a customer who called to learn more about a new product. The customer rejects the offer. What is the next step that Pega Customer Decision Hub takes?

A. Reevaluates the Next-Best-Action
B. Stops presenting offers to the customer
C. Sends a detailed email about the offer
D. Adds the customer to the potential churn list

Answer: A

Explanation:
Pega Customer Decision Hub is a dynamic and adaptive system that constantly reevaluates the Next-Best-Action for each customer based on their interactions and feedback. If a customer rejects an offer, the system will update the customer profile and the offer performance, and then reapply the Next-Best-Action strategy to select and prioritize another offer that is more relevant and valuable for the customer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]

NEW QUESTION # 45
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 a business user, what are the two tasks that you define to update the cashback offer? (Choose Two)

A. Remove existing treatment.
B. Edit the engagement policy.
C. Edit the action details.
D. Edit an existing treatment.
E. Add a new treatment.

Answer: B,C

Explanation:
To update the cashback offer, you need to edit the engagement policy and the action details. Editing the engagement policy allows you to add a new channel (SMS) and update the suitability condition (lowering the debt-to-income ratio). Editing the action details allows you to specify the treatment for each channel (web and SMS). Verified Reference: [Pega Decisioning Consultant | Pega Academy]

NEW QUESTION # 46
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?

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 reference it in the scorecard component.
D. Add a decision table to a decision strategy and pass the credit score as the parameter.

Answer: D

Explanation:
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

NEW QUESTION # 47
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?

A. Change in the strategy the condition from .pxSegment <=175 to .pxSegment <=200.
B. Map the score value in the decision strategy to <=200.
C. Change the cutoff value in the Results tab of the scorecard model.
D. Change the cutoff value in the Results tab of the scorecard decision component.

Answer: C

Explanation:
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.

NEW QUESTION # 48
U+ Bank presents various credit card offers to its customers on its website. The bank uses AI to prioritize the offers according to customer behavior. With the introduction of the Gold credit card offer, the offer click-through propensity decreased to 0.42.
What does the decrease in the propensity value most likely indicate?

A. Similar customers purchase other offers.
B. Similar customers ignore the offer.
C. Similar customers show interest in the offer.
D. Similar customers do not qualify for the offer.

Answer: B

Explanation:
The propensity is a measure of how likely a customer is to accept an offer, based on their attributes and behaviors. The propensity is calculated by using predictive analytics models that learn from historical data and feedback. A low propensity value indicates that the offer is not relevant or attractive for the customer, and that similar customers have ignored or rejected the offer in the past. Therefore, if the offer click-through propensity decreased to 0.42, it most likely indicates that similar customers ignore the offer. Verified Reference: Pega Decisioning Consultant | Pega Academy

NEW QUESTION # 49
You are a decisioning architect responsible for configuring offer prioritization for home loan offers based on the business requirements. Select each prioritization factor on the left and drag it to the correct condition on the right.

Answer:

Explanation:

NEW QUESTION # 50
In a decision strategy, to use a customer property in an expression, you

A. define the property as a strategy property
B. define Customer page in Pages & Classes
C. use the property as defined without any prefix
D. prefix the property with the keyword Customer

Answer: B

Explanation:
In a decision strategy, to use a customer property in an expression, you need to define Customer page in Pages & Classes and specify its class as Data-Customer. This allows you to access customer properties by using dot notation, such as Customer.Age or Customer.Gender. You do not need to define the property as a strategy property, use it without any prefix, or prefix it with the keyword Customer. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Decision strategies

NEW QUESTION # 51
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.