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質問 # 24
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. Propensity
- B. Business weighting
- C. Business value
- D. Context weighting
正解：A
解説：
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]
質問 # 25
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 a decision table to a decision strategy and pass the credit score as the parameter.
- B. Add a decision table to a decision strategy and reference it in the scorecard component.
- C. Add three contact policies that correspond to the three risk segments.
- D. Add the risk segmentation rules in the Results tab of the scorecard rule.
正解：A
解説：
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
質問 # 26
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.
正解：
解説：
質問 # 27
U+ Bank, a retail bank, uses the Business Operations Environment to perform business changes. The team members of the Business Content team and Enterprise Capabilities team perform several roles in the change management process.
Select each role on the left and drag it to the task descriptions to which the role corresponds on the right.
正解：
解説：
質問 # 28
What does a dotted line from a "Group By" component to a "Filter" component mean?
- A. A property from the "Group By" is referenced by the "Filter" component.
- B. Information from the "Group By" is copied over to the "Filter" component.
- C. To evaluate the "Group By" component, the "Filter" component is evaluated first.
- D. There is a one-to-one relationship between the "Group By" and the "Filter" components.
正解：A
解説：
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
質問 # 29
In a decision strategy, to use a customer property in an expression, you
- A. use the property as defined without any prefix
- B. define Customer page in Pages & Classes
- C. prefix the property with the keyword Customer
- D. define the property as a strategy property
正解：B
解説：
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
質問 # 30
U+ Bank wants to offer a Gold credit card to customers who have an annual income of more than USD150000. What do you configure in the Next-Best-Action Designer to achieve this outcome7
- A. Audience
- B. Prioritization formula
- C. Engagement policy condition
- D. Customer segment
正解：C
解説：
An engagement policy condition is a rule that determines whether a customer is eligible, applicable, or suitable for an offer. You can use engagement policy conditions to filter customers based on their attributes or behaviors. In this case, the bank wants to offer a Gold credit card to customers who have an annual income of more than USD150000, so creating an engagement policy condition based on the income attribute is the best option. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
質問 # 31
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?
- A. Increase the context weight of the MyFone 14 Pro offer.
- B. Increase the business value of the MyFone 14 Pro offer.
- C. Increase the business weight of the MyFone 14 Pro offer.
- D. Increase the starting propensity of the MyFone 14 Pro offer.
正解：C
解説：
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
質問 # 32
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. 5% discount on the price
- B. Netflix subscription for 12 months
- C. Tablet serial number
- D. Tablet operating system
正解：A、B
解説：
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
質問 # 33
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.
正解：
解説：
質問 # 34
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.
正解：
解説：
1 - The website invokes the real-time container before loading the account page.
2 - Customer Decision Hub evaluates offers form the associated issue/group.
3 - Customer Decision Hub returns the resulting offer details to the website.
4 - The website loads the account page with the content returned by Customer Decision Hub.
質問 # 35
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 show interest in the offer.
- B. Similar customers ignore the offer.
- C. Similar customers do not qualify for the offer.
- D. Similar customers purchase other offers.
正解：B
解説：
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
質問 # 36
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:
正解：
解説：
質問 # 37
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
- A. Order
- B. Priority
- C. Rank
- D. Propensity
正解：D
解説：
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
質問 # 38
U+ Bank wants to send promotional emails related to credit card offers to their qualified customers. The business intends to use the same action flow template with the desired flow pattern for all the credit card actions.
What do you configure to implement this requirement?
- A. Output template
- B. File template
- C. Dynamic template
- D. Email treatment
正解：C
解説：
To implement this requirement, you need to configure a dynamic template in Customer Decision Hub. A dynamic template is a type of template that allows you to define a common action flow pattern for a group of actions that share similar characteristics, such as channel, issue, or group. You can specify which properties and components are required for each action in the group, and how they are mapped to the action flow template. This way, you can reuse the same action flow template for all the credit card actions, while still allowing some variations in their content and configuration. Verified Reference: Pega Academy - Decisioning Consultant - Creating dynamic templates
質問 # 39
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?
- A. Group By
- B. Filter
- C. Prioritize
- D. Decision table
正解：C
解説：
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
質問 # 40
U+ Bank, a retail bank, introduced a new mortgage refinance offer in the eastern region of the country. They want to advertise this offer on their website by using a banner, targeting the customers who live in that area.
What do you configure in Next-Best-Action Designer to implement this requirement?
- A. An audience
- B. A customer segment
- C. A prioritization formula
- D. Applicability rules
正解：A
解説：
An audience is a group of customers who share common characteristics or behaviors that are relevant for a business objective. You can use audiences to target specific customers with specific offers or treatments. In this case, the bank wants to advertise a new mortgage refinance offer to the customers who live in the eastern region of the country, so creating an audience based on the location attribute is the best option. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
質問 # 41
As a decisioning architect, you advise the board on the business issues for which they must use the Next-Best-Action strategy. Which three business issues do you recommend? (Choose Three)
- A. Service
- B. Accounting
- C. Collections
- D. Resource Planning
- E. Retention
正解：A、C、E
解説：
The Next-Best-Action strategy is a customer-centric approach that aims to deliver the most relevant and valuable proposition for each customer at any given moment. You can use the Next-Best-Action strategy to address various business issues that involve customer interactions, such as service, retention, and collections. Service is the process of providing assistance and support to customers who have questions or problems. Retention is the process of preventing customers from leaving or switching to competitors. Collections is the process of recovering unpaid debts from customers who are delinquent or defaulting on their obligations. These are all business issues that can benefit from using the Next-Best-Action strategy. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
質問 # 42
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. Stops presenting offers to the customer
- B. Adds the customer to the potential churn list
- C. Reevaluates the Next-Best-Action
- D. Sends a detailed email about the offer
正解：C
解説：
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]
質問 # 43
A financial institution has created a new policy that states the company will not send more than 500 emails per day. Which option allows you to implement the requirement?
- A. Outbound channel limits
- B. Suppression rules
- C. Applicability rules
- D. Volume constraints
正解：D
解説：
Volume constraints allow you to limit the number of times an action is presented to customers across one or more channels. You can use volume constraints to implement a policy that restricts the number of emails sent per day. Outbound channel limits are used to limit the number of customers contacted per channel per run, not per day. Suppression rules are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases. 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 the action is presented. Verified Reference: Certified Pega Decisioning Consultant | Pega Academy, Volume constraints
質問 # 44
U+ Bank has recently defined two contact policies:
1. Suppress a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days.
2. Suppress the Reward card offer, part of the credit card group, for 7 days if it is rejected twice in any channel in the last 7 days. Paul, an existing U+ Bank customer, no longer sees the Reward card offer. What is the reason that Paul cannot see the offer?
- A. Paul rejected other credit card offers twice on the web channel and once in contact center.
- B. Paul rejected other credit card offers once on the web channel and once in the contact center.
- C. Paul rejected the Reward card offer once in contact center.
- D. Paul rejected the Reward card offer once on the web channel.
正解：A
解説：
Paul cannot see the Reward card offer because he rejected other credit card offers twice on the web channel and once in contact center in the past 15 days. This triggers the first contact policy that suppresses a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days. The Reward card offer is part of the credit card group, so it is suppressed for Paul for 30 days. The second contact policy that suppresses the Reward card offer for 7 days if it is rejected twice in any channel in the last 7 days does not apply because Paul did not reject the Reward card offer twice in any channel in the last 7 days. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies system Following is the description of the image that was sent with question no:5:
This is a screenshot of a table with four columns and two rows.
The table has a header row with white text on a blue background.
The header row reads "Constraint name", "Constraint mode", "Constraint value", and "Channel".
The second row has black text on a white background.
The second row reads "Standard card", "Return any action that does not exceed", "100", and "Daily".
The table has a gray border and a light blue background.
質問 # 45
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