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Pegasystems PEGACPDC25V1 Exam Overview:

Certification Vendor:Pegasystems
Exam Name:Certified Pega Decisioning Consultant 25
Exam Number:PEGACPDC25V1
Related Certifications:Certified Pega Data Scientist
Certified Lead Pega Decisioning Architect
Passing Score:70%
Available Languages:English
Real Exam Qty:60
Certificate Validity Period:No expiration announced
Exam Price:USD $190
Exam Format:Multiple Choice
Exam Duration:90 minutes
Sample Questions:Pegasystems PEGACPDC25V1 Sample Questions
Exam Way:Online proctored exam through Pearson VUE
Pre Condition:Completion of the Decisioning Consultant learning mission is recommended.
Official Syllabus URL:https://academy.pega.com/exam/certified-pega-decisioning-consultant-5

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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Channels: Covers implementing real-time containers, offer emails, and third-party integrations for multi-channel delivery.
Topic 2
  • Decision strategies: Focuses on building decision strategies with business logic to power the decisioning engine.
Topic 3
  • Contact policy and volume constraints: This domain covers managing contact policies to limit how often customers receive communications, focusing on controlling action exposure and volume in outbound channels while configuring appropriate tracking periods.
Topic 4
  • Next-Best-Action concepts: Covers one-to-one engagement fundamentals, contact center optimization, always-on outbound strategies, and next-best-action optimization.
Topic 5
  • Engagement policies: Addresses creating engagement policies, strategies, and customer journeys that govern contact timing and frequency.

Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q81-Q86):

NEW QUESTION # 81
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 Dank 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:

Explanation:


NEW QUESTION # 82
You are a decisioning architect on a next-best-action project and are responsible for designing and implementing decision strategies. Select each component on the leftand drag it to the correct requirement on the right.

Answer:

Explanation:


NEW QUESTION # 83
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?

Answer: D

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 References: Pega Decisioning Consultant | Pega Academy


NEW QUESTION # 84
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?

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 # 85
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?

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 References: [Pega Decisioning Consultant | Pega Academy]


NEW QUESTION # 86
......

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