[Nov-2023] PEGACPDC88V1 Certification with Actual Questions from RealVCE
Updated PEGACPDC88V1 Dumps PDF - PEGACPDC88V1 Real Valid Brain Dumps With 60 Questions!
Pegasystems is a leading software company that provides a wide range of solutions to help businesses streamline their operations and improve customer engagement. One of the key areas of expertise for Pegasystems is decision management, which is why they offer a certification program for consultants looking to specialize in this field. The Certified Pega Decisioning Consultant 8.8 V1 (PEGACPDC88V1) exam is designed to test a candidate's knowledge and skills in implementing decision strategies using the Pega Decision Management platform.
NEW QUESTION # 26
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. Applicability rules
- B. A customer segment
- C. A prioritization formula
- D. An audience
Answer: D
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 # 27
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. Tablet serial number
- B. 5% discount on the price
- C. Tablet operating system
- D. Netflix subscription for 12 months
Answer: B,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 # 28
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 once on the web channel and once in the contact center.
- B. Paul rejected the Reward card offer once on the web channel.
- 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 # 29
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 # 30
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. No need to do anything. The strategy is auto-generated.
- B. Create a channel strategy specifically for web.
- C. Modify the Next-Best-Action Framework strategy to cater to the new web channel.
- D. Change the generated decision strategy.
Answer: A
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 # 31
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
Answer: D
Explanation:
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
NEW QUESTION # 32
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 do not qualify for the offer.
- B. Similar customers purchase other offers.
- 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 # 33
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. Enable a web channel.
- D. Add contact policy rules.
Answer: B,C
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 # 34
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. Trigger an external Extract-Transform-Load (ETL) process.
- B. Run the starting population segment daily.
- C. Select a different audience sample with a similar profile.
- D. Select the Refresh the audience checkbox.
Answer: D
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 # 35
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. Suppression policies
- B. Volume constraints
- C. Outbound channel limits
- D. Suitability rules
Answer: B
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 # 36
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. Retention
- B. Service
- C. Accounting
- D. Resource Planning
- E. Collections
Answer: A,B,E
Explanation:
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]
NEW QUESTION # 37
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 # 38
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 # 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.
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 do you configure to select the best offer from both groups based on customer behavior?
- A. Create an adaptive model rule at the Issue-level.
- B. Enable a business value in the prioritization formula.
- C. Create a prioritization decision strategy at the Group-level.
- D. Ensure that the propensity is enabled in Arbitration tab.
Answer: D
Explanation:
To select the best offer from both groups based on customer behavior, you need to ensure that the propensity is enabled in Arbitration tab. Propensity is a measure of how likely a customer is to accept an offer, based on their past behavior and profile. By enabling propensity in Arbitration tab, you can compare the propensities of different offers across groups and select the one with the highest propensity as the next best action. Verified Reference: Pega Academy - Decisioning Consultant - Arbitrating actions
NEW QUESTION # 40
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 # 41
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. Applicability rules
- B. Suppression rules
- C. Volume constraints
- D. Outbound channel limits
Answer: C
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 # 42
U+ Bank, a retail bank, is cross-selling on the web by showing various credit card offers to its customers.
The bank wants to introduce a new offer in the Business Operations Environment. Place the steps in the correct order of implementation.
Answer:
Explanation:
1 - Create a change request
2 - Rank the change request
3 - Define action details and engagement policies
4 - Perform persona testing
5 - Approve the change request
6 - Complete and deploy the revision
NEW QUESTION # 43
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 # 44
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 action suitability conditions are not defined.
- C. The volume constraint is not set to exclude previously accepted offers.
- D. The suppression rules are not defined to exclude previously accepted actions.
Answer: C
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 # 45
An outbound run identifies 150 Standard card offers, 75 on email, and 75 on the SMS channel. If the following volume constraint is applied, how many actions are delivered by the outbound run?
- A. 75 emails 25 SMSes
- B. 0
- C. 75 SMSes and 25 emails
- D. 1
Answer: A
Explanation:
The outbound run delivers 75 emails and 25 SMSes for the Standard card offer because the volume constraint is set to limit the number of actions per channel per day. The email channel has a limit of 75 actions per day, so all 75 email offers are delivered. The SMS channel has a limit of 25 actions per day, so only 25 SMS offers are delivered. The remaining 50 SMS offers are not delivered because they exceed the volume constraint.
NEW QUESTION # 46
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. Very Poor
- C. Fair
- 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 # 47
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. Engagement policy condition
- C. Customer segment
- D. Prioritization formula
Answer: B
Explanation:
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]
NEW QUESTION # 48
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. Configure the primary schedule to run daily and let the artificial intelligence (AI) choose the best action based on engagement policies.
- C. 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.
- D. Configure a primary schedule for the original offer email and setup an ad-hoc schedule to send the second email.
Answer: B
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 # 49
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. Diamond card
- C. Silver card and Diamond card
- D. Silver card
Answer: B
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 # 50
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The PEGACPDC88V1 certification exam is a computer-based test that comprises of 65 multiple-choice questions. PEGACPDC88V1 exam is conducted by Pegasystems, which is a leading provider of software solutions for customer engagement and digital transformation. PEGACPDC88V1 exam is designed to be completed within 90 minutes, and the passing score for the exam is 65%. Candidates who pass the exam are awarded the title of Certified Pega Decisioning Consultant 8.8 V1, which is a mark of excellence in the industry.
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