Latest Pegasystems PEGACPDC88V1 Practice Test Questions, Certified Pega Decisioning Consultant 8.8 V1 Exam Dumps
Nov-2023 Pass Pegasystems PEGACPDC88V1 Exam in First Attempt Easily
The PEGACPDC88V1 exam is a computer-based test that is administered by Pearson VUE. PEGACPDC88V1 exam consists of 60 multiple-choice questions that must be answered within 90 minutes. The passing score for the exam is 65%. Candidates who fail the exam can retake it after a waiting period of 30 days.
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. Applicability rules
- B. Volume constraints
- C. Suppression policy
- D. Customer contact limits
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 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 do not qualify for the offer.
- D. Similar customers purchase other offers.
Answer: A
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 # 24
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
- A. Rank
- B. Order
- C. Propensity
- D. Priority
Answer: C
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 # 25
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 first 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 second stage of the journey.
- D. Enable constant stage upweighting for the second stage of the journey.
Answer: C
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 # 26
Pega Customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?
- A. Optimizing supply chain management
- B. Determining if a borrower gets a loan
- C. Predicting the time of a machine failure
- D. Determining how to optimize inventories
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 # 27
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 # 28
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. Context weighting
- B. Business value
- C. Business weighting
- D. Propensity
Answer: D
Explanation:
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]
NEW QUESTION # 29
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.
Answer:
Explanation:
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.
NEW QUESTION # 30
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 # 31
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 # 32
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. Create a decision strategy at the Issue-level
- B. Enable an engagement policy for the second group.
- C. Map a real-time container to the Top-level or Issue-level.
- D. Set contact limits for both the groups.
Answer: C
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 # 33
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 # 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. Poor
- B. Fair
- C. Very Poor
- D. Good
Answer: A
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
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 external email treatment and use Customer Decision Hub to design the email.
- B. Create an external email treatment and use an external tool to design the email.
- C. Create an internal email treatment and import the email content HTML.
- D. Create an internal email treatment and use Customer Decision Hub to design the email.
Answer: B
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 # 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. Add contact policy rules.
- B. Map the real-time container to a business structure level.
- C. Define the starting population.
- 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
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 external email treatment and use Customer Decision Hub to design the email.
- B. Create an external email treatment and use an external tool to design the email.
- C. Create an internal email treatment and import the email content HTML.
- D. Create an internal email treatment and use Customer Decision Hub to design the email.
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 # 38
U+ Bank, a retail bank, presents offers on its website by using Pega Customer Decision Hub™. The bank wants to leverage Customer Decision Hub capabilities to present relevant offers to qualified customers. As a decisioning consultant, you are responsible for configuring the business requirements with the Next-Best-Action Designer, which involves several tasks. To accomplish these tasks, you might have to use auto-generated decision strategies, create new decision strategies, or edit existing strategies.
In the Answer Area, select the correct execution for each Task.
Answer:
Explanation:
NEW QUESTION # 39
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. Silver card and Diamond card
- B. None
- 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 # 40
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. Proposition Data
- C. Data Import
- D. None, properties are available
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 # 41
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 the Refresh the audience checkbox.
- B. Run the starting population segment daily.
- C. Trigger an external Extract-Transform-Load (ETL) process.
- D. Select a different audience sample with a similar profile.
Answer: A
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 # 42
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