Pega PCDC Certification Exam Syllabus

PCDC dumps PDF, Pega PCDC BraindumpsTo achieve the professional designation of Pega Decisioning Consultant from the Pega, candidates must clear the PCDC Exam with the minimum cut-off score. For those who wish to pass the Pega PCDC certification exam with good percentage, please take a look at the following reference document detailing what should be included in Pega Decisioning Consultant Exam preparation.

The Pega PCDC Exam Summary, Body of Knowledge (BOK), Sample Question Bank and Practice Exam provide the basis for the real Pega Certified Decisioning Consultant (PCDC) exam. We have designed these resources to help you get ready to take Pega Decisioning Consultant (PCDC) exam. If you have made the decision to become a certified professional, we suggest you take authorized training and prepare with our online premium Pega Decisioning Consultant Practice Exam to achieve the best result.

Pega PCDC Exam Summary:

Exam Name Pega Decisioning Consultant
Exam Code PCDC
Exam Fee USD $175
Exam Duration 90 Minutes
Number of Questions 60
Passing Score 70%
Format Multiple Choice Questions
Books / Trainings Pega Decisioning Consultant 8 course
Schedule Exam Pearson VUE
Sample Questions Pega PCDC Exam Sample Questions and Answers
Practice Exam Pega Certified Decisioning Consultant (PCDC) Practice Test

Pega Decisioning Consultant Syllabus Topics:

Topic Details Weights
Next-Best-Action Concepts - Customer Decision Hub overview
- Optimizing customer value in the contact center
8%
Next-Best-Action Designer - Defining and managing propositions
- Authoring Next-Best-Action decisions
- Configuring Next-Best-Action designer for real-life scenarios
15%
Decision Strategies - Using propositions in a decision strategy canvas
- Calculating dynamic prices
- Selecting the most profitable proposition
- Selecting the target audience
- Defining proposition eligibility rules
- Learning from historical interactions
- Using aggregated data to select the best offer
- Designing decision strategies for real-life scenarios
- Testing strategies en masse with simulations
- Understanding decision strategy execution
- Arbitrating between propositions
- Evaluating customer credit score
- Avoiding redundant product offerings
47%
AI Powered 1-to-1 Customer Engagement - Predicting customer behavior
- Using third party predictive models
- Predicting customer behavior using real-time data
- Utilizing text analytics to improve business performance
30%
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