PEGAPCDC87V1 EXAM QUESTIONS PDF & PEGAPCDC87V1 RELIABLE STUDY GUIDE

PEGAPCDC87V1 Exam Questions Pdf & PEGAPCDC87V1 Reliable Study Guide

PEGAPCDC87V1 Exam Questions Pdf & PEGAPCDC87V1 Reliable Study Guide

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Pegasystems PEGAPCDC87V1 exam certification is widely recognized IT certifications. People around the world prefer PEGAPCDC87V1 exam certification to make their careers more strengthened and successful. Speaking of Pegasystems PEGAPCDC87V1 exam, iPassleader Pegasystems PEGAPCDC87V1 exam training materials have been ahead of other sites. Because iPassleader has a strong IT elite team, they always follow the latest Pegasystems PEGAPCDC87V1 Exam Training materials, with their professional mind to focus on Pegasystems PEGAPCDC87V1 exam training materials.

The PEGAPCDC87V1 Exam is a certification that tests the proficiency of individuals in implementing and customizing decision strategies using the PegaRULES Process Commander. PEGAPCDC87V1 exam also assesses an individual's ability to develop, design, and manage decision-based solutions using Pega's decisioning platform. Achieving this certification adds significant value to your career, as it is evidence of your expertise and credibility in implementing effective solutions using Pega decisioning.

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iPassleader is one of the leading platforms that has been helping Certified Pega Decisioning Consultant (PCDC) 87V1 (PEGAPCDC87V1) exam candidates for many years. Over this long time period we have helped Certified Pega Decisioning Consultant (PCDC) 87V1 (PEGAPCDC87V1) exam candidates in their preparation. They got help from iPassleader Pegasystems PEGAPCDC87V1 Practice Questions and easily got success in the final Pegasystems PEGAPCDC87V1 certification exam. You can also trust Pegasystems PEGAPCDC87V1 exam dumps and start preparation with complete peace of mind and satisfaction.

The PEGAPCDC87V1 Exam is a valuable certification for those seeking to become a Certified Pega Decisioning Consultant. PEGAPCDC87V1 exam tests the candidate's knowledge and skills related to Pega Decisioning, and demonstrates their ability to design and implement effective decisioning solutions. Certified Pega Decisioning Consultant (PCDC) 87V1 certification is recognized globally and is highly valued by employers seeking professionals with expertise in Pega Decisioning.

Pegasystems Certified Pega Decisioning Consultant (PCDC) 87V1 Sample Questions (Q57-Q62):

NEW QUESTION # 57
A bank wants to leverage Pega Customer Decision Hub's Next-Best-Action capability to promote new offers to each customer on their website. What information does Pega Customer Decision Hub send back to the website in response to the real-time container request?

  • A. Only the image location
  • B. Only the action name and description
  • C. The treatment details and relevant action attributes
  • D. Only the image location and its type

Answer: C


NEW QUESTION # 58
A volume constraint is configured to apply constraints to actions as a group rather than for each action individually. A customer qualifies for 3 actions, and the volume limit on the top-ranked action is above zero, the limits on the 2 lower-ranked actions have been reached. Given this scenario, how many actions will be selected for the customer in the outbound run?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
Understanding Volume Constraints:
* Volume constraints can be applied to limit the number of actions offered to customers.
* Constraints can be set to apply to actions as a group or individually.
Scenario Analysis:
* In the given scenario, a customer qualifies for three actions.
* The top-ranked action has not reached its volume limit, but the lower-ranked actions have.
* Since the constraints are applied as a group, if the top-ranked action is available, it will be selected.
* The lower-ranked actions, having reached their limits, will not be selected.
Conclusion:
* Only the top-ranked action will be selected for the customer in the outbound run.


NEW QUESTION # 59
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 a primary schedule for the original offer email and setup an ad-hoc schedule to send the second email
  • B. Configure the primary schedule to run daily and let the artificial intelligence (AI) choose the best action based on engagement policies
  • C. 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
  • D. Create an action with a flow that contains two send Email shapes, one for each email. Set appropriate wait times between the shapes

Answer: B

Explanation:
In the always-on outbound customer engagement paradigm, leveraging AI and continuous decisioning is crucial:
* AI-Driven Decisioning:
* Step 1: Configure the primary schedule to run daily, allowing the AI engine to continuously evaluate and select the best action for each customer.
* Step 2: The AI considers engagement policies, customer behavior, and contextual data to determine the most relevant action.
* Benefits of Always-On Engagement:
* Continuous evaluation of customer interactions ensures that the actions presented are timely and contextually relevant.
* It allows for dynamic adjustment of offers based on real-time data and customer responses.
* Implementation Steps:
* Step 1: In Next-Best-Action Designer, set up a primary schedule to run daily.
* Step 2: Define engagement policies and configure AI models to select actions based on customer interactions and preferences.
* Step 3: Allow the AI to decide whether to resend the original offer or present a new offer based on the customer's response or lack thereof.
* Example:
* If the customer ignores the first email, the AI might decide to send a reminder email or a different offer based on updated engagement data and policy rules.
References:
* Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Configuring a recurring schedule for Next-Best-Action" section.
* Pega documentation on "Using AI in decisioning".


NEW QUESTION # 60
Reference module: Detecting unwanted bias
MyCo, a telco, has introduced mobile data packages for students. As a policy, MyCo does not want to discriminate based on gender when presenting the offers. As a Decisioning Consultant, how do you configure the ethical bias policy to allow no bias?

  • A. 1 Rate Ratio
  • B. 0.9-1.11 Rate Ratio
  • C. 0.5-2 Rate Ratio
  • D. No Detection

Answer: A


NEW QUESTION # 61
U+ Bank has recently introduced a few mortgage offers that are presented to qualified customers on its website- The business now wants to prevent offer overexposure, as overexposure negatively impacts the customer experience.
Select the correct suppression rule for the requirement: If a customer has clicked on any of the mortgage offers a total of three times in the last 7 days, do not show any mortgage offers to that customer for the next 10 days.

  • A. Suppress an action for 10 days if there are three clicks for any channel in the last 7 days.
  • B. Suppress an action for 7 days if there are three clicks on the web channel in the last 10 days.
  • C. Suppress a group of actions for 10 days if there are three clicks on the web channel in the last 7 days.
  • D. Suppress a group of actions for 10 days if there are three clicks on the web channel in the last 10 days.

Answer: D

Explanation:
To prevent offer overexposure, the appropriate suppression rule is to suppress a group of actions for 10 days if there are three clicks on the web channel in the last 10 days. This ensures that once a customer interacts with any mortgage offer three times within a 10-day period, they will not see any mortgage offers for the next 10 days. This rule helps in maintaining a good customer experience by avoiding overexposure.


NEW QUESTION # 62
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