2024 Updated Verified PEGACPDC88V1 Downloadable Printable Exam Dumps
The Ultimate Pegasystems PEGACPDC88V1 Dumps PDF Review
The PEGACPDC88V1 exam is an essential certification for professionals who want to become certified Pega Decisioning consultants. Certified Pega Decisioning Consultant 8.8 V1 certification demonstrates that the holder has the knowledge and skills to use Pega Decisioning effectively and opens up career opportunities in a range of industries. To prepare for the exam, candidates should have a solid understanding of Pega Decisioning concepts and hands-on experience using the tool, and take advantage of the training courses and resources offered by Pegasystems.
The PEGACPDC88V1 certification exam is a challenging test that requires extensive preparation and study. Candidates must have a strong understanding of the Pega Decisioning platform and its related tools, as well as experience designing and implementing Pega Decisioning solutions. PEGACPDC88V1 exam consists of multiple-choice questions and practical exercises that test a consultant's ability to apply their knowledge in real-world scenarios.
NEW QUESTION # 15
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. Offer relevancy
- D. Customer contact policy
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 # 16
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. Change the generated decision strategy.
- D. Modify the Next-Best-Action Framework strategy to cater to the new web channel.
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 # 17
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 # 18
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 how to optimize inventories
- C. Determining if a borrower gets a loan
- D. Predicting the time of a machine failure
Answer: C
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 # 19
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. Suppression policy
- D. Applicability rules
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 # 20
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. Engagement policy condition
- B. Customer segment
- C. Prioritization formula
- D. Audience
Answer: A
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 # 21
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 # 22
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. Map the real-time container to a business structure level.
- B. Define the starting population.
- C. Add contact policy rules.
- D. Enable a web channel.
Answer: A,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 # 23
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. Adds the customer to the potential churn list
- B. Sends a detailed email about the offer
- C. Stops presenting offers to the customer
- D. Reevaluates the Next-Best-Action
Answer: D
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 # 24
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. Eligibility
- B. Applicability
- C. Suitability
- 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 # 25
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. Configure the primary schedule to run daily and let the artificial intelligence (AI) choose the best action based on engagement policies.
- B. Configure a primary schedule for the original offer email and setup an ad-hoc schedule to send the second email.
- C. Create an action with a flow that contains two Send Email shapes, one for each email. Set appropriate wait times between the shapes.
- D. 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.
Answer: A
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 # 26
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. A business structure.
- B. An action and the associated web treatment.
- C. Customer contact policies.
- D. Customer engagement policies.
- E. Real-time containers.
Answer: A,B,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 # 27
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 ignore the offer.
- D. Similar customers show interest in the offer.
Answer: C
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 # 28
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. Proposition Data
- B. Data Import
- C. Set Property
- D. None, properties are available
Answer: B
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 # 29
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 # 30
What is the name of the property that the system computes automatically when you use an Adaptive Model decision component?
- A. Propensity
- B. Order
- C. Priority
- D. Rank
Answer: A
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
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. Set contact limits for both the groups.
- D. Create a decision strategy at the Issue-level
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 # 32
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 # 33
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. Output template
- B. File template
- C. Dynamic template
- D. Email treatment
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 # 34
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. 5% discount on the price
- B. Netflix subscription for 12 months
- C. Tablet operating system
- D. Tablet serial number
Answer: A,B
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 # 35
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. Applicability 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 # 36
U+ Bank decides to introduce a credit cards group by leveraging the Next-Best-Action capability of Pega Customer Decision Hub™. The bank wants to present the credit card offers through inbound and outbound channels based on the following criteria:
1. Customers must be above the age of 18 to qualify for credit card offers.
2. The site offers credit cards only if customers do not explicitly opt-out of any direct marketing for credit cards.
3. The Platinum Card, one of the credit card offers, is suitable for customers with debt-to-income ratio < 45.
As a decisioning architect, how do you implement this requirement? In the Answer Area, select the correct engagement policy for each criterion.
Answer:
Explanation:
NEW QUESTION # 37
......
Achive your Success with Latest PEGACPDC88V1 Exam: https://actualtests.crampdf.com/PEGACPDC88V1-exam-prep-dumps.html