[Nov-2023] The Pegasystems PEGACPDC88V1 Exam Test For Brief Preparation
Revolutionary Guide To Exam Pegasystems Dumps
Achieving the Certified Pega Decisioning Consultant 8.8 V1 certification validates a professional's expertise in Pega Decisioning technology and helps advance their career in the field of Pega Decisioning. By obtaining this certification, professionals can demonstrate to potential employers their understanding and comprehension of Pega Decisioning capabilities, its architecture, and its implementation practices. Certified Pega Decisioning Consultant 8.8 V1 certification also opens up opportunities for professionals to work on challenging projects in Pega Decisioning.
The PEGACPDC88V1 (Certified Pega Decisioning Consultant 8.8 V1) certification exam is designed to test professionals' knowledge of Pega Decisioning. It covers a wide range of topics, including decision strategies, data management, and designing and developing decisioning applications. PEGACPDC88V1 exam is intended for professionals who work with Pega Decisioning on a regular basis, such as system architects, developers, and business analysts.
NEW QUESTION # 31
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. Prioritization formula
- B. Audience
- C. Customer segment
- D. Engagement policy condition
Answer: D
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 # 32
To access a property from an unconnected component, you use the
- A. customer-dot-property construct
- B. property value
- C. dot-property value directly
- D. component-dot-property construct
Answer: D
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 # 33
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. Suitability
- B. Suppression rules
- C. Applicability
- D. Eligibility
Answer: B
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 # 34
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. Define the starting population.
- C. Enable a web channel.
- D. Map the real-time container to a business structure level.
Answer: C,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 # 35
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. Volume constraints
- B. Customer contact limits
- C. Applicability rules
- D. Suppression policy
Answer: D
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 # 36
U+ Bank, a retail bank, uses the business operations environment to perform its business changes. The bank completes these changes by using revision management features of Pega Customer Decision Hub™ and 1:1 Operations Manager.
Customers see credit card offers based on various engagement policies on the U+ Bank website. The bank wants to update the underlying decision strategy of an engagement policy condition.
According to best practices, which statement correctly describes the implementation of the change to fulfill this business requirement?
- A. A next-best-action designer modifies the decision strategy in 1:1 Operations Manager.
- B. A next-best-action specialist modifies the decision strategy in 1:1 Operations Manager.
- C. A next-best-action designer modifies the decision strategy in Customer Decision Hub.
- D. A next-best-action specialist modifies the decision strategy in Customer Decision Hub.
Answer: C
Explanation:
According to the best practice, a next-best-action designer should modify the decision strategy in Customer Decision Hub, because the decision strategy is part of the next-best-action framework that defines how to select and prioritize propositions for each customer. The 1:1 Operations Manager portal is used to manage the engagement policies and propositions, not the decision strategies. Verified Reference: Pega Decisioning Consultant | Pega Academy
NEW QUESTION # 37
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. Offer eligibility
- D. Customer contact policy
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 # 38
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. Map a real-time container to the Top-level or Issue-level.
- B. Enable an engagement policy for the second group.
- C. Create a decision strategy at the Issue-level
- D. Set contact limits for both the groups.
Answer: A
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 # 39
U+ Bank is facing an unforeseen technical issue with its customer care system. As a result, the bank wants to share the new temporary contact details with all customers over an SMS.
Which type of outbound interaction do you configure to implement this requirement?
- A. Customer event
- B. Security event
- C. Scheduled update
- D. Priority communication
Answer: D
Explanation:
A priority communication is a type of outbound interaction that allows you to send urgent messages to customers that are not related to any specific offer or proposition. You can use priority communications to inform customers about important events or changes that affect their relationship with your organization. In this case, the bank wants to share the new temporary contact details with all customers over an SMS, so creating a priority communication is the best option. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
NEW QUESTION # 40
U+ Bank uses a scorecard rule in a decision strategy to compute the mortgage limit for a customer. U+ Bank updated their scorecard to include a new property in the calculation: customer income.
What changes do you need to make in the decision strategy for the updated scorecard to take effect?
- A. Add a new Group By component for the mortgage limit calculation.
- B. The score calculation is independent of the strategy and no change is required.
- C. A new proposition filter needs to be configured in the strategy to filter on customer income.
- D. Remap the scorecard property in the decision strategy for the change to take effect.
Answer: B
Explanation:
The score calculation is independent of the strategy and no change is required. When you use a scorecard component in a decision strategy, you only need to specify the name of the scorecard rule and the output property that will store the score value. The scorecard rule itself defines how the score is calculated based on the input properties and factors. Therefore, if you update the scorecard rule to include a new property in the calculation, you do not need to make any changes in the decision strategy for the updated scorecard to take effect. Verified Reference: [Pega Academy - Decisioning Consultant - Using scorecards]
NEW QUESTION # 41
U+ Bank's marketing department wants to use the always-on outbound approach to send promotional emails about credit card offers to qualified customers. As a part of this promotion, the bank wants to identify the starting population by defining a few high-level criteria in a segment.
For each condition below, select which two conditions should be defined in Segment and which three conditions should be defined in Engagement policy as best practice.
Answer:
Explanation:
NEW QUESTION # 42
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. Business value
- B. Business weighting
- C. Context 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 # 43
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 engagement policies.
- B. Customer contact policies.
- C. Real-time containers.
- D. An action and the associated web treatment.
- E. A business structure.
Answer: C,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 # 44
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 # 45
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 a single change request in the Pega Customer Decision Hub portal.
- C. Create a single change request in the 1:1 Operations Manager portal.
- D. Create two change requests in the 1:1 Operations Manager portal.
Answer: C
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 # 46
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. Ensure that the propensity is enabled in Arbitration tab.
- B. Create an adaptive model rule at the Issue-level.
- C. Enable a business value in the prioritization formula.
- D. Create a prioritization decision strategy at the Group-level.
Answer: A
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 # 47
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 the risk segmentation rules in the Results tab of the scorecard rule.
- B. Add a decision table to a decision strategy and reference it in the scorecard component.
- C. Add three contact policies that correspond to the three risk segments.
- D. Add a decision table to a decision strategy and pass the credit score as the parameter.
Answer: D
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 # 48
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 # 49
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 # 50
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
- A. Order
- B. Rank
- C. Priority
- 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 # 51
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