2026年最新の実際に出ると確認された 無料Pegasystems PEGACPDC25V1試験問題
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質問 # 59
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?
- A. None, properties are available
- B. Proposition Data
- C. Set Property
- D. Data Import
正解：D
解説：
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
質問 # 60
l)+ 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. Map the score value in the decision strategy to <=200.
- B. Change in the strategy the condition from .pxSegment <=175 to .pxSegment <=200.
- C. Change the cutoff value in the Results tab of the scorecard decision component.
- D. Change the cutoff value in the Results tab of the scorecard model.
正解：D
解説：
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.
質問 # 61
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.
正解：
解説：
Explanation:
A screenshot of a survey AI-generated content may be incorrect.
質問 # 62
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?
- A. Fair
- B. Good
- C. Very Poor
- D. Poor
正解：D
解説：
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.
質問 # 63
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?
- A. The bank implemented upweighting for the third stage.
- B. The customer always receives the most relevant action, even if an action is not a part of any journey.
- C. The customer can be involved in only one active journey at a given moment.
- D. The customer was not eligible for the last stage of the journey and the system presented an offer outside the journey.
正解：B
解説：
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
質問 # 64
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. A new proposition filter needs to be configured in the strategy to filter on customer income.
- B. Remap the scorecard property in the decision strategy for the change to take effect.
- C. The score calculation is independent of the strategy and no change is required.
- D. Add a new Group By component for the mortgage limit calculation.
正解：C
解説：
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 References: [Pega Academy - Decisioning Consultant - Using scorecards]
質問 # 65
U+ Bank implemented a customer journey for its customers. The journey consists of three stages. The first stage raises awareness about available products, the second stage presents available offers, and in the last stage, customers can talk to an advisor to get a personalized quote. The bank wants to actively increase offers promotion over time.
What action does the bank need to take to achieve this business requirement?
- A. Enable increasing stage upweighting for the second stage of the journey.
- B. Upweight the propensity by adding more predictors that fit the target customers and repeat this process over time.
- C. Enable increasing stage upweighting for the first stage of the journey.
- D. Enable constant stage upweighting for the second stage of the journey.
正解：A
解説：
Increasing stage upweighting is a feature that allows you to gradually increase the weight of a stage over time, making the offers in that stage more likely to be selected. This is useful for promoting offers that are time-sensitive or have a limited availability. In this case, the bank wants to actively increase offers promotion over time, so enabling increasing stage upweighting for the second stage of the journey, where the offers are presented, is the best option. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
質問 # 66
A declsioning architect wants to use the customer properties Gender and MonthlyAverageUsage in a Data Join component. Which decision component is required to enable access to these properties?
- A. Data Import.
- B. None, properties are always available.
- C. Proposition Data.
- D. Set Property.
正解：B
質問 # 67
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. Applicability rules
- D. A prioritization formula
正解：C
質問 # 68
A telecommunications company is promoting IPhone upgrades with unlimited data plans. The marketing team notices that a customer explicitly stated in a recent survey that they are not interested in iPhone products. The company wants to apply appropriate engagement policy conditions to respect customer preferences.
Which engagement policy condition type should you use to prevent iPhone offers for customers who express disinterest?
- A. Arbitration rules to deprioritize the customer segment.
- B. Applicability condition to respect customer preferences.
- C. Eligibility condition based on customer survey responses.
- D. Suitability condition for customer empathy considerations.
正解：B
質問 # 69
A financial institution's NBA team discovers that they need to modify their risk assessment strategy and edit a scorecard used for loan approvals. The team lead reviews the available options in 1:1 Operations Manager to determine the most appropriate approach to implementing these changes.
Which approach should the team lead use to implement these strategy and scorecard modifications?
- A. Submit an Other request type in the Customer Decision Hub portal
- B. Create a new revision in 1:1 Operations Manager, followed by a new change request in the Customer Decision Hub portal
- C. Submit a Create new action request in 1:1 Operations Manager
- D. Submit an Update existing action request in 1:1 Operations Manager
正解：A
質問 # 70
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 ignore the offer.
- B. Similar customers show interest in the offer.
- C. Similar customers purchase other offers.
- D. Similar customers do not qualify for the offer.
正解：A
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 # 71
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?
- A. Applicability
- B. Suppression rules
- C. Eligibility
- D. Suitability
正解：B
解説：
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 References: [Pega Decisioning Consultant | Pega Academy]
質問 # 72
U+ Bank wants to use Pega Customer Decision Hub to show the Reward Card offer on its website to the qualified customers. In preparation, the action, the treatment, and the real-time container are already created.
As a decisioning architect, you need to verify the configurations in the Channel tab of the Next-Best-Action Designer to enable the website to communicate with Pega Customer Decision Hub.
To achieve this requirement, which two tasks do you ensure are complete in the Channel tab of the Next-Best- Action Designer? (Choose Two)
- A. Map the real-time container to a business structure level.
- B. Define the starting population.
- C. Enable a web channel.
- D. Add contact policy rules.
正解：A、C
解説：
To achieve this requirement, you need to ensure that two tasks are complete in the Channel tab of the Next- Best-Action Designer: enable a web channel and map the real-time container to a business structure level. A web channel is a type of channel that allows you to deliver actions and treatments to your customers through your website or web app. You need to enable a web channel and configure its settings, such as authentication, security, and response format. A real-time container is a configuration that defines how to deliver actions and treatments to a specific channel. You need to map the real-time container that contains the Reward Card offer to a business structure level, such as Top-level or Issue-level, so that it can be available for delivery through the web channel. Verified References: [Pega Academy - Decisioning Consultant - Configuring channels],
[Pega Academy - Decisioning Consultant - Configuring real-time containers]
質問 # 73
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：
Explanation:
A screenshot of a computer screen AI-generated content may be incorrect.
質問 # 74
In the following figure, a volume constraint uses the Return any action that does not exceed constraint mode with the three following action type constraints that have remaining limits:
1.Maximum 50 Daily with Action: Protect Your Device, 5 remaining
2.Maximum 75 Daily with Action: MyFone Buds, 7 remaining
3.Maximum 25 Daily with Action: MyFone AirPods Pro, 0 remaining
A customer, CUST-01, qualifies for all the three actions. Given this scenario, how many actions does the system select for CUST-01 in the outbound run?
- A. 0
- B. 1
- C. 2
- D. 3
正解：A
質問 # 75
U+ Bank is promoting a new premium credit card with an 18% APR to its existing customers. To protect customer value, the bank wants to avoid offering this card to customers who already hold a credit card with a lower Interest rate (12% APR or below).
Which engagement policy condition type should you use to exclude customers with lower-interest cards from receiving the premium offer?
- A. Applicability
- B. Eligibility
- C. Suitability
- D. Action-level Suitability
正解：C
質問 # 76
MyCo, 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?
- A. Trigger an external Extract-Transform-Load (ETL) process.
- B. Run the starting population segment daily.
- C. Select the Refresh the audience checkbox.
- D. Select a different audience sample with a similar profile.
正解：C
質問 # 77
You are the decisioning architect on an Al-powered one-to-one customer engagement implementation project.
You are asked to design the next-best-action prioritization expression that balances the customer needs with the business objectives.
What factor do you consider in the prioritization expression?
- A. Customer contact policy
- B. Offer eligibility
- C. Offer relevancy
- D. Predicted customer behavior
正解：D
解説：
The prioritization expression is a formula that calculates the priority score of each offer for each customer, based on various factors that reflect the customer needs and the business objectives. One of the most important factors is the predicted customer behavior, which is measured by the propensity. The propensity is a value that indicates 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. The higher the propensity, the higher the priority score, making the offer more relevant and valuable for the customer. Verified References: [Pega Decisioning Consultant | Pega Academy]
質問 # 78
In a decision strategy, you can use aggregation components to____________.
- A. filter actions based on priority and relevance
- B. make calculations based upon a list of actions
- C. choose between actions
- D. set a text value to a strategy property
正解：B
解説：
Aggregation components are used to perform calculations on a list of actions, such as sum, average, count, minimum, or maximum. For example, you can use an aggregation component to calculate the total value of all the actions in a group. Verified References: Pega Academy - Decisioning Consultant - Aggregating actions
質問 # 79
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. Map a real-time container to the Top-level or Issue-level.
- D. Create a decision strategy at the Issue-level.
正解：C
質問 # 80
To access a property from an unconnected component, you use the
- A. property value
- B. dot-property value directly
- C. component-dot-property construct
- D. customer-dot-property construct
正解：C
解説：
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
質問 # 81
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