To 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% |