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NEW QUESTION # 29
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. Group By
• B. Decision table
• C. Filter
• D. Prioritize

Answer: D

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 # 30
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. A customer segment
• B. A prioritization formula
• C. An audience
• D. Applicability rules

Answer: C

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 # 31
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. Suitability 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 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 # 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. Set contact limits for both the groups.
• D. Map a real-time container to the Top-level or Issue-level.

Answer: D

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
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. Select a different audience sample with a similar profile.
• C. Run the starting population segment daily.
• 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 # 34
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 a decision table to a decision strategy and pass the credit score as the parameter.
• B. Add a decision table to a decision strategy and reference it in the scorecard component.
• C. Add the risk segmentation rules in the Results tab of the scorecard rule.
• D. Add three contact policies that correspond to the three risk segments.

Answer: A

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 # 35
As a decisioning architect, you are setting up the action hierarchy for MyCo. Select the correct action hierarchy level for each of the hierarchy items identified.

Answer:

Explanation:

NEW QUESTION # 36
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 # 37
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 # 38
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. Outbound channel limits
• C. Volume constraints
• D. Applicability rules

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 # 39
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. Fair
• C. Poor
• D. Very Poor

Answer: C

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 # 40
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. Sends a detailed email about the offer
• C. Adds the customer to the potential churn list
• D. Stops presenting offers to the customer

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 # 41
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 SMSes and 25 emails
• B. 75 emails 25 SMSes
• C. 0
• D. 1

Answer: B

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 # 42
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. Enable a web channel.
• C. Define the starting population.
• D. Add contact policy rules.

Answer: A,B

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 # 43
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 business weight of the MyFone 14 Pro offer.
• B. Increase the starting propensity of the MyFone 14 Pro offer.
• C. Increase the business value of the MyFone 14 Pro offer.
• D. Increase the context weight of the MyFone 14 Pro offer.

Answer: A

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 # 44
In a decision strategy, to use a customer property in an expression, you

• A. prefix the property with the keyword Customer
• B. define Customer page in Pages & Classes
• C. use the property as defined without any prefix
• D. define the property as a strategy property

Answer: B

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 # 45
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 # 46
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. Configure a primary schedule for the original offer email and setup an ad-hoc schedule to send the second email.
• 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: 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 # 47
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 show interest in the offer.
• C. Similar customers ignore the offer.
• D. Similar customers purchase other offers.

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 # 48
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To prepare for the PEGACPDC88V1 exam, professionals can take advantage of a variety of resources provided by Pegasystems. These resources include online training courses, study guides, and practice exams. Pegasystems also offers an exam readiness assessment, which helps professionals to identify areas where they may need additional preparation.

Pegasystems PEGACPDC88V1 (Certified Pega Decisioning Consultant 8.8 V1) Certification Exam is a highly recognized certification exam for professionals who want to demonstrate their expertise in Pega Decisioning. Certified Pega Decisioning Consultant 8.8 V1 certification is designed to validate the skills and knowledge required for designing and implementing decisioning solutions using the Pega Platform. Certified Pega Decisioning Consultant 8.8 V1 certification exam covers various areas of Pega Decisioning, including designing decision strategies, implementing decision rules, and testing and debugging decisioning solutions.

 

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