[May 26, 2024] PEGACPDC88V1 Test Prep Training Practice Exam Questions Practice Tests
Exam Questions Answers Braindumps PEGACPDC88V1 Exam Dumps PDF Questions
The PEGACPDC88V1 exam is designed to test the candidate's knowledge across a range of areas, including decisioning architecture, rule-based decisioning, predictive analytics, and adaptive decisioning. PEGACPDC88V1 exam consists of multiple-choice questions and is conducted online. The duration of the exam is 90 minutes, and the passing score is 65%. PEGACPDC88V1 exam is available in multiple languages, including English, French, German, and Spanish.
NEW QUESTION # 25
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 import the email content HTML.
- B. Create an external email treatment and use an external tool to design the email.
- C. Create an internal email treatment and use Customer Decision Hub to design the email.
- D. Create an external 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 # 26
To access a property from an unconnected component, you use the
- A. component-dot-property construct
- B. dot-property value directly
- C. property value
- D. customer-dot-property construct
Answer: A
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 # 27
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. Trigger an external Extract-Transform-Load (ETL) process.
- C. Run the starting population segment daily.
- 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 # 28
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 # 29
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. A seed list from the Test email tab
- C. Schedule an outbound run with a limited number of customers
- D. Preview section from the email content editor
Answer: B
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 # 30
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
- A. Priority
- B. Rank
- C. Propensity
- D. Order
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 # 31
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. Predicted customer behavior
- B. Offer eligibility
- C. Customer contact policy
- D. Offer relevancy
Answer: A
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 # 32
In a decision strategy, to use a customer property in an expression, you
- A. prefix the property with the keyword Customer
- B. use the property as defined without any prefix
- C. define Customer page in Pages & Classes
- D. define the property as a strategy property
Answer: C
Explanation:
In a decision strategy, to use a customer property in an expression, you need to define Customer page in Pages & Classes and specify its class as Data-Customer. This allows you to access customer properties by using dot notation, such as Customer.Age or Customer.Gender. You do not need to define the property as a strategy property, use it without any prefix, or prefix it with the keyword Customer. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Decision strategies
NEW QUESTION # 33
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. Outbound channel limits
- 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 # 34
Bank uses Pega Customer Decision Hub™ to approve credit card limit changes requested by customers automatically.
A scorecard model determines the customer credit score.
The automatic approval of credit card limits are processed based on the following criteria set by the bank.
The bank wants to change the threshold value for the USD2000 credit limit from <175 to <200. How do you implement this change?
- A. Map the score value in the decision strategy to <=200.
- B. Change in the strategy the condition from .pxSegment <=175 to .pxSegment <=200.
- C. Change the cutoff value in the Results tab of the scorecard decision component.
- D. Change the cutoff value in the Results tab of the scorecard model.
Answer: D
Explanation:
The scorecard model determines the customer credit score based on various factors, such as income, expenses, assets, liabilities, etc. The scorecard model has a Results tab where you can define the cutoff values for different segments based on the credit score. To change the threshold value for the USD2000 credit limit from <175 to <200, you need to change the cutoff value in the Results tab of the scorecard model. Changing the cutoff value in the scorecard decision component, changing the condition in the strategy, or mapping the score value in the decision strategy will not affect the credit score calculation or segmentation.
NEW QUESTION # 35
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 # 36
As a Customer Service Representative, you present an offer to a customer who called to learn more about a new product. The customer rejects the offer. What is the next step that Pega Customer Decision Hub takes?
- A. Reevaluates the Next-Best-Action
- B. Adds the customer to the potential churn list
- C. Stops presenting offers to the customer
- D. Sends a detailed email about the offer
Answer: A
Explanation:
Pega Customer Decision Hub is a dynamic and adaptive system that constantly reevaluates the Next-Best-Action for each customer based on their interactions and feedback. If a customer rejects an offer, the system will update the customer profile and the offer performance, and then reapply the Next-Best-Action strategy to select and prioritize another offer that is more relevant and valuable for the customer. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 37
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 starting propensity of the MyFone 14 Pro offer.
- B. Increase the business value of the MyFone 14 Pro offer.
- C. Increase the business weight of the MyFone 14 Pro offer.
- D. Increase the context weight of the MyFone 14 Pro offer.
Answer: C
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 # 38
The following decision strategy outputs the most profitable shoe a retailer can sell. The profit is the selling Prices of the shoe, minus the Cost to acquire the shoe.
The details of the shoes are provided in the following table:
The details of the shoes are provided in the following table:
To output the most profitable shoe, which component do you add in the blank space that is highlighted in red?
- A. Decision table
- B. Prioritize
- C. Filter
- D. Group By
Answer: B
Explanation:
To output the most profitable shoe, you need to add a Prioritize component in the blank space. A Prioritize component allows you to rank actions based on one or more properties. In this case, you can rank the shoes based on the Profit property and select the highest ranked shoe as the output. Verified Reference: Pega Academy - Decisioning Consultant - Prioritizing actions
NEW QUESTION # 39
U+ Bank wants to offer credit cards only to customers with a low-risk profile. The customers are divided into various risk segments from AAA to CCC. The risk segmentation rules that the business provides use the Age and the customer Credit Score based on the following table. The bank uses a scorecard model to determine the customer Credit Score.
As a decisioning architect, how do you implement the business requirement?
- A. Add three contact policies that correspond to the three risk segments.
- B. Add a decision table to a decision strategy and pass the credit score as the parameter.
- C. Add the risk segmentation rules in the Results tab of the scorecard rule.
- D. Add a decision table to a decision strategy and reference it in the scorecard component.
Answer: B
Explanation:
To implement the business requirement, you need to add a decision table to a decision strategy and pass the credit score as the parameter. A decision table allows you to define rules based on one or more input parameters and return an output value. In this case, you can use the credit score as an input parameter and return the risk category/grade as an output value. You can then use this output value to filter out customers who are not in the low-risk segment (AAA). Verified Reference: Pega Academy - Decisioning Consultant - Using decision tables
NEW QUESTION # 40
U+ Bank wants to send promotional emails related to credit card offers to their qualified customers. The business intends to use the same action flow template with the desired flow pattern for all the credit card actions.
What do you configure to implement this requirement?
- A. File template
- B. Email treatment
- C. Dynamic template
- D. Output template
Answer: C
Explanation:
To implement this requirement, you need to configure a dynamic template in Customer Decision Hub. A dynamic template is a type of template that allows you to define a common action flow pattern for a group of actions that share similar characteristics, such as channel, issue, or group. You can specify which properties and components are required for each action in the group, and how they are mapped to the action flow template. This way, you can reuse the same action flow template for all the credit card actions, while still allowing some variations in their content and configuration. Verified Reference: Pega Academy - Decisioning Consultant - Creating dynamic templates
NEW QUESTION # 41
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 import the email content HTML.
- B. Create an external email treatment and use an external tool to design the email.
- C. Create an internal email treatment and use Customer Decision Hub to design the email.
- D. Create an external 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 # 42
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 # 43
U+ Bank implemented a customer journey for its customers. The journey consists of five stages. The bank observes that as customers progress through the journey, one customer entered the third stage of the journey, and then received an offer that is not included in any journey.
Which statement explains the cause of this behavior?
- A. The customer always receives the most relevant action, even if an action is not a part of any journey.
- B. The customer can be involved in only one active journey at a given moment.
- C. The customer was not eligible for the last stage of the journey and the system presented an offer outside the journey.
- D. The bank implemented upweighting for the third stage.
Answer: A
Explanation:
Pega Customer Decision Hub always selects and prioritizes the most relevant and valuable action for each customer at any given moment, regardless of whether the action is part of a journey or not. A journey is a way to group and organize actions that are related to a common business objective or customer need, but it does not override the Next-Best-Action strategy that determines the best action for each customer. Therefore, if a customer receives an offer that is not included in any journey, it means that the offer is more suitable and beneficial for the customer than any other offer in the journey. Verified Reference: Pega Decisioning Consultant | Pega Academy
NEW QUESTION # 44
......
Download Free Pegasystems PEGACPDC88V1 Real Exam Questions: https://www.actual4test.com/PEGACPDC88V1_examcollection.html
PEGACPDC88V1 Exam Dumps, PEGACPDC88V1 Practice Test Questions: https://drive.google.com/open?id=1kRls_f6Nae6HnVEDGyQZhPeqv5UmKLvK