Pega Certified Decisioning Consultant Cheat Sheet – Blog

Are you looking to improve your skills and become a Pega Certified decision-making consultant? Do you need a quick review before your final exam? We have the Ultimate Cheat Sheet for you. This cheat sheet will give you a quick overview of all the resources needed to pass the exam. It will also help you get on the right path to passing this exam. Remember that even the most amazing things take time. Preparing for certification is difficult. It is not easy nor quick. It is worth the effort and determination.
Pega Certified Decisioning Consultant: Overview
ThePega Certified Decisioning Consultant (PCDC), is for professionals involved in the design and implementation of a Pega Customer Decisive Hub solution. This certification certifies that candidates are able to apply design principles such as Next-Best-Action and Predictive Analytics.
Cheat Sheet : Pega Certified Decisioning Consultant
The Pega Certified Decisioning Consultant Cheat Sheet provides a study plan that includes all the necessary study resources to help you prepare for the exam. These steps will help you achieve this highly valued credential.
Exam Objectives
First, ensure that you have the latest Course Outline. The most important part of the exam is the Course Outline. This is the syllabus for the exam. This domain list is the basis for all questions. You should review the exam objectives. The exam covers 4 domains, which can be further subdivided into different topics. Each topic is crucial for passing the exam. To improve your preparations, tailor your study plan around these course areas. These domains are-
Next-Best-Action Concepts (8%)
FIrstly, Customer Decision Hub overview (Pega Reference:Pega Customer Decision Hub)
Secondly, optimizing customer value in the call center (Pega Reference : Optimizing the customer value).
Next-Best-Action-Designer (15%)
To start with, Defining & managing propositions (Pega Refer:Defining propositions).
Then, Authoring Next-Best-Action decisions (Pega Reference:Determining the next best action through decision strategies)
Further, Configuring Next-Best-Action designer for real-life scenarios (Pega Reference:Understanding Next-Best-Action Designer components)
Decision Strategies (47%)
First, using propositions in a decision-strategie canvas (Pega Reference :Creating a business hierarchy with propositions)
Secondly, Calculating dynamic priceSelecting most profitable proposition
Third, selecting the target audience (Pega Reference :Selecting The Audience)
Also, Defining proposition eligibility rules (Pega Reference:Proposition Eligibility)
Moreover, Learning from historical interactions (Pega Reference:Interaction History methods)
Additionally, Using aggregated data to select the best offer (Pega Reference:AggregatingData)
Then, Designing decision strategies for real-life scenarios (Pega Reference:DESIGNING DECISION STRATEGIES)
Test strategies en masse using simulations (Pega Reference :Testing Strategies En Masse With Simulations)
Understanding decision strategy execution (Pega Reference:Understanding decision strategy execution Course: proposition Eligibility not working)
Furthermore, Arbitrating between propositionsEvaluating customer credit score (Pega Reference:Creating engagement strategies using customer credit score)
Avoid redundant product offerings (Pega Refer:Avoiding Redundant Products Offerings).
AI-Powered 1-to-1 Customer Engagement (30%)
Predicting customer behaviour (Pega Reference:Predicting Customer Behavior)
Then, you can use third-party predictive models (Pega reference:Using third-party predictive models).
Also, Predicting customer behavior using real-time data (Pega Reference:Predicting customer behavior using real-time

Author: Alexander