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Genesys GCX-AI-GPE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Engagement (GPE) Implementation | 45% | - Optimization and continuous improvement - Defining customer segments and engagement strategies - Creating and managing action maps - Setup and configuration basics - Agent experience and real-time insights |
| Topic 2: AI Fundamentals in Genesys Cloud CX | 15% | - Core AI concepts for customer engagement - AI architecture and integration within Genesys Cloud CX - Overview of Predictive Engagement (GPE) and Predictive Routing (GPR) |
| Topic 3: Predictive Routing (GPR) Implementation | 40% | - Getting started and prerequisites - Configuration and setup of GPR - Data preparation and model training - Performance monitoring and reporting - Testing, validation, and deployment |
Genesys Cloud CX AI-GPE and GPR Certification Sample Questions:
1. What does the "frequency cap" setting control in an action map?
Response:
A) The maximum times an action can trigger for a visitor
B) The number of simultaneous offers per visitor
C) The engagement queue overflow limit
D) The number of agents assigned to the map
2. Which data point is commonly found in a Visitor Activity Report?
Response:
A) Real-time agent count
B) Total billing units
C) Visitor session ID
D) Number of agent escalations
3. In a Genesys Cloud queue configured with Predictive Routing, what occurs if the AI model cannot determine a high-confidence match?
Response:
A) The agent selection is made randomly
B) The interaction is sent to voicemail
C) Routing falls back to the standard method
D) The queue is paused automatically
4. Which prerequisite must be met before launching a GPR benefit assessment in Genesys Cloud CX?
Response:
A) Genesys Cloud AI premium add-on must be disabled
B) All agents must be certified in predictive engagement
C) The organization must have enabled historical analytics
D) A queue with sufficient historical interaction data
5. When setting up a Predictive Routing queue, which two conditions should ideally be met for optimal performance?
Response:
A) High agent turnover
B) Consistent outcome tagging
C) Minimal use of wrap-up codes
D) Large volume of historical data
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: B,D |






