Exam Questions and Answers for PEGACPDC88V1 Study Guide Questions and Answers!
Certified Pega Decisioning Consultant 8.8 V1 Certification Sample Questions and Practice Exam
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NEW QUESTION # 25
A volume constraint uses the Return any action that does not exceed constraint mode. The following tables show the configuration of the volume constraints and the list of customers in the outbound segment:
The outbound run selects customers in the following order to apply the volume constraints: CUST-01, CUST-02, CUST-03, and CUST-05.
Based on the configuration of the volume constraints for each channel, which offer does CUST-05 receive?
- A. None
- B. Silver card and Diamond card
- C. Silver card
- D. Diamond card
Answer: D
Explanation:
CUST-05 receives the Diamond card offer because it is the only action that does not exceed the volume constraint for the email channel. The Silver card offer has already reached its limit of 2 emails per day, so it is not eligible for CUST-05. The volume constraint mode Return any action that does not exceed means that any action that meets the eligibility and suitability criteria and does not violate the volume constraint will be returned, even if there are other actions with higher priority or propensity. Verified Reference: Certified Pega Decisioning Consultant | Pega Academy, Volume constraints
NEW QUESTION # 26
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. There is a one-to-one relationship between the "Group By" and the "Filter" components.
- C. To evaluate the "Group By" component, the "Filter" component is evaluated first.
- D. Information from the "Group By" is copied over to the "Filter" component.
Answer: A
Explanation:
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
NEW QUESTION # 27
U+ Bank, a retail bank, uses the Business Operations Environment to perform its business changes. The bank carries out these changes in the Pega Customer Decision Hub portal by using revision management features or the 1:1 Operations Manager portal.
For each task, select the correct portal in which you initiate the change request based on best practices.
Answer:
Explanation:
NEW QUESTION # 28
U+ Bank wants to use Pega Customer Decision Hub™ to display a credit card offer, the Standard Card, to every customer who logs in to the bank website. What three of the following artifacts are mandatory to implement this requirement7 (Choose Three)
- A. Customer contact policies.
- B. A business structure.
- C. Customer engagement policies.
- D. Real-time containers.
- E. An action and the associated web treatment.
Answer: B,D,E
Explanation:
To implement this requirement, you need to create an action and the associated web treatment, a real-time container, and a business structure. An action is a proposition that you want to present to a customer, such as a credit card offer. A treatment is the way you present the action to a customer, such as an image or a text message. A real-time container is a configuration that defines how to deliver actions and treatments to a specific channel, such as a website or a mobile app. A business structure is a hierarchy of business groups and business issues that organizes actions into meaningful categories. Verified Reference: Pega Academy - Decisioning Consultant - Creating actions and treatments, Pega Academy - Decisioning Consultant - Configuring real-time containers, [Pega Academy - Decisioning Consultant - Defining business structure]
NEW QUESTION # 29
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. A prioritization formula
- B. Applicability rules
- C. An audience
- D. A customer segment
Answer: C
Explanation:
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]
NEW QUESTION # 30
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. Edit an existing treatment.
- B. Edit the engagement policy.
- C. Edit the action details.
- D. Remove 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 # 31
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 on the web channel.
- B. Paul rejected other credit card offers once on the web channel and once in the contact center.
- C. Paul rejected other credit card offers twice on the web channel and once in contact center.
- D. Paul rejected the Reward card offer once in contact center.
Answer: C
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 # 32
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 # 33
To access a property from an unconnected component, you use the
- A. dot-property value directly
- B. component-dot-property construct
- C. property value
- D. customer-dot-property construct
Answer: B
Explanation:
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
NEW QUESTION # 34
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. Very Poor
- C. Poor
- D. Good
Answer: C
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 # 35
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. Enable an engagement policy for the second group.
- B. Create a decision strategy at the Issue-level
- C. Set contact limits for both the groups.
- 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 # 36
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. Define the starting population.
- B. Map the real-time container to a business structure level.
- C. Add contact policy rules.
- D. Enable a web channel.
Answer: B,D
Explanation:
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 Reference: [Pega Academy - Decisioning Consultant - Configuring channels], [Pega Academy - Decisioning Consultant - Configuring real-time containers]
NEW QUESTION # 37
Which of the following reasons explains why a customer might receive an action that they already accepted?
- A. The volume constraint is not set to exclude previously accepted offers.
- B. The actions are filtered based on eligibility.
- C. The action suitability conditions are not defined.
- D. The suppression rules are not defined to exclude previously accepted actions.
Answer: A
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 # 38
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. Suppression rules
- B. Outbound channel limits
- C. Applicability rules
- D. Volume constraints
Answer: D
Explanation:
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
NEW QUESTION # 39
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 do not qualify for the offer.
- C. Similar customers show interest in the offer.
- D. Similar customers ignore the offer.
Answer: D
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 # 40
The U+ Bank marketing department currently promotes various home loan offers to qualified customers. Now, the bank does not want customers to receive more than four promotional emails per quarter, regardless of past responses to that action by the customer.
Which option allows you to implement the business requirement?
- A. Suitability rules
- B. Outbound channel limits
- C. Suppression policies
- D. Volume constraints
Answer: D
Explanation:
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 the requirement that customers do not receive more than four promotional emails per quarter, regardless of past responses to that action by the customer. You can configure the volume constraint to limit the number of actions per channel per quarter and select the option to ignore previous responses. Outbound channel limits are used to limit the number of customers contacted per channel per run, not per quarter. Suppression policies are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases, not based on the number of times the action is presented. Suitability rules are used to determine whether an action is suitable for a customer based on their propensity, priority, or other criteria, not based on the number of times the action is presented.
NEW QUESTION # 41
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. Suitability
- C. Eligibility
- D. Suppression rules
Answer: D
Explanation:
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]
NEW QUESTION # 42
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 # 43
MyCo, a telecom company, uses Pega Customer Decision Hub™ to present offers to qualified customers. The business recently decided to send offer messages through the email channel. The Design department has designed an email treatment which includes dynamic placeholders.
As a deaccessioning architect, what do you use in order to test the visualization and the rendering of the email content, including replacing of the placeholders with customer information?
- A. A list of customer email addresses from the Test email tab
- B. Preview section from the email content editor
- C. Schedule an outbound run with a limited number of customers
- D. A seed list from the Test email tab
Answer: D
Explanation:
To test the visualization and the rendering of the email content, including replacing of the placeholders with customer information, you use a seed list from the Test email tab. A seed list is a predefined set of customers that you can use to test your email treatments before sending them to your target audience. You can select one or more customers from the seed list and send them a test email with your treatment. You can then verify how the email looks in their inbox and how the placeholders are replaced with their actual values. Verified Reference: [Pega Academy - Decisioning Consultant - Testing email treatments]
NEW QUESTION # 44
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. Set Property
- B. None, properties are available
- C. Data Import
- D. Proposition Data
Answer: C
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 # 45
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. Offer relevancy
- B. Predicted customer behavior
- C. Customer contact policy
- D. Offer eligibility
Answer: B
Explanation:
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 Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 46
U+ Bank has recently implemented Pega Customer Decision Hub™. As a first step, the bank went live with the contact center to improve customer engagement. Now, U+ Bank wants to extend its customer engagement through the web channel. As a decisioning architect, you have created the new set of actions, the corresponding treatments, and defined a new trigger in the Next-Best-Action Designer for the new web channel.
What else do you configure for the new treatments to be present in the next-best-action recommendations?
- A. Create a channel strategy specifically for web.
- B. No need to do anything. The strategy is auto-generated.
- C. Modify the Next-Best-Action Framework strategy to cater to the new web channel.
- D. Change the generated decision strategy.
Answer: B
Explanation:
When you create a new trigger in the Next-Best-Action Designer, Pega Customer Decision Hub automatically generates a decision strategy for that trigger and channel. You do not need to create or modify any strategies manually. Verified Reference: Pega Academy - Decisioning Consultant - Creating triggers
NEW QUESTION # 47
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 two change requests: one in the Pega Customer Decision Hub portal and the other in the 1:1 Operations Manager portal.
- B. Create two change requests in the 1:1 Operations Manager portal.
- C. Create a single change request in the Pega Customer Decision Hub 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 # 48
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 business weight of the MyFone 14 Pro offer.
- B. Increase the business value of the MyFone 14 Pro offer.
- C. Increase the starting propensity of the MyFone 14 Pro offer.
- D. Increase the context weight of the MyFone 14 Pro offer.
Answer: A
Explanation:
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
NEW QUESTION # 49
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