Steps Necessary To Pass The PEGACPDC88V1 Exam from Training Expert ActualPDF
Valid Way To Pass Pega Decisioning Consultant's PEGACPDC88V1 Exam
NEW QUESTION # 11
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. Add a new Group By component for the mortgage limit calculation.
- D. Remap the scorecard property in the decision strategy for the change to take effect.
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 # 12
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. Proposition Data
- B. Set Property
- C. None, properties are available
- D. Data Import
Answer: D
Explanation:
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
NEW QUESTION # 13
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?
- A. Create an internal email treatment and use Customer Decision Hub to design the email.
- B. Create an external email treatment and use Customer Decision Hub to design the email.
- C. Create an internal email treatment and import the email content HTML.
- D. Create an external email treatment and use an external tool to design the email.
Answer: D
Explanation:
To implement this requirement, you need to create an external email treatment and use an external tool to design the email. An external email treatment is a type of treatment that allows you to use a third-party email service provider to send emails to your customers. You can configure the external email treatment with the name of the provider, the authentication details, and the template ID that corresponds to the email content that you design using an external tool. This way, you can leverage your existing tools and processes for sending emails, while still using Customer Decision Hub to select the best actions and treatments for your customers. Verified Reference: Pega Academy - Decisioning Consultant - Creating external treatments
NEW QUESTION # 14
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. Good
- B. Fair
- C. Very Poor
- D. Poor
Answer: D
Explanation:
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.
NEW QUESTION # 15
U+ Bank, a retail bank, has recently implemented a project in which qualified customers see mortgage offers when they log in to the web self-service portal.
Currently, only the customers who satisfy the following engagement policy conditions receive the Fifteen-year fixed-rate mortgage offer:
The bank decides to make two changes:
1. Update the suitability condition for the Fifteen-year fixed-rate mortgage offer.
2. Introduce a new offer , Twenty-year fixed-rate mortgage.
The following table shows the new engagement policy conditions for both mortgage offers:
What is the best practice to fulfill this change management requirement in the Business Operations Environment?
- A. Create a single change request in the Pega Customer Decision Hub portal.
- B. Create two change requests in the 1:1 Operations Manager portal.
- C. Create two change requests: one in the Pega Customer Decision Hub portal and the other in the 1:1 Operations Manager portal.
- D. Create a single change request in the 1:1 Operations Manager portal.
Answer: D
Explanation:
According to the best practice, a single change request should be created in the 1:1 Operations Manager portal, because both changes are related to the engagement policies and propositions that are managed in this portal. The Pega Customer Decision Hub portal is used to design and test the decision strategies, not the engagement policies and propositions. Verified Reference: Pega Decisioning Consultant | Pega Academy
NEW QUESTION # 16
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?
- A. Select a different audience sample with a similar profile.
- B. Select the Refresh the audience checkbox.
- C. Run the starting population segment daily.
- D. Trigger an external Extract-Transform-Load (ETL) process.
Answer: B
Explanation:
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
NEW QUESTION # 17
Which of the following reasons explains why a customer might receive an action that they already accepted?
- A. The actions are filtered based on eligibility.
- B. The suppression rules are not defined to exclude previously accepted actions.
- C. The action suitability conditions are not defined.
- D. The volume constraint is not set to exclude previously accepted offers.
Answer: D
Explanation:
A customer might receive an action that they already accepted if the volume constraint for that action is not configured to exclude previously accepted offers. This option can be enabled by selecting the Exclude previously accepted actions checkbox in the volume constraint configuration. The action suitability conditions are used to determine whether an action is suitable for a customer based on their propensity, priority, or other criteria, not based on their previous responses. The suppression rules are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases, not based on their previous responses. The actions are filtered based on eligibility before applying the volume constraints, so this option does not explain why a customer might receive an action that they already accepted. Verified Reference: Certified Pega Decisioning Consultant | Pega Academy, Volume constraints
NEW QUESTION # 18
U+ Bank has decided to use the Pega Customer Decision Hub, M to recommend more relevant banner ads to its customers when they visit the personal portal. Select each placement type on the left and drag it to the correct requirement on the right.
Answer:
Explanation:
NEW QUESTION # 19
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 # 20
Pega Customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?
- A. Predicting the time of a machine failure
- B. Determining if a borrower gets a loan
- C. Determining how to optimize inventories
- D. Optimizing supply chain management
Answer: B
Explanation:
Next-Best-Action is a type of decision that involves selecting and prioritizing the most appropriate proposition for each customer at any given moment. Next-Best-Action can be applied to decisions that require customer-centricity, personalization, and contextualization. Determining if a borrower gets a loan is an example of such a decision, as it depends on the customer's attributes, behaviors, preferences, and needs. The other options are examples of decisions that are not related to customer interactions, but rather to operational or analytical processes. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 21
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.
Answer:
Explanation:
NEW QUESTION # 22
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. Customer contact limits
- B. Volume constraints
- C. Suppression policy
- D. Applicability rules
Answer: C
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 # 23
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 the Reward card offer 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 on the web channel.
- D. Paul rejected other credit card offers twice on the web channel and once in contact center.
Answer: D
Explanation:
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.
NEW QUESTION # 24
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 constant stage upweighting for the second stage of the journey.
- D. Enable increasing stage upweighting for the first stage of the journey.
Answer: A
Explanation:
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]
NEW QUESTION # 25
U+ Bank, 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. The bank added engagement policy conditions to show the offers based on the bank's requirements.
In the Answer Area, select the correct engagement policy for each condition.
Answer:
Explanation:
NEW QUESTION # 26
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