Glossary
Key terms and definitions for each exam domain. Each entry includes a concise definition, exam context, and links to the relevant lesson for deeper study.
14%
Domain 1: Prompting and Task Execution
Business prompts, task decomposition, iterative improvement, prompt strategy by task type
21%
Domain 2: Output Evaluation and Validation
Accuracy, hallucinations, fact-checking, human review, audience adaptation, output formats
12%
Domain 3: Product and Model Selection
Chat, Projects, research mode, Artifacts, Haiku, Sonnet, Opus, context limits
16%
Domain 4: Workflow Integration and Solution Design
Requirements, fit, pilots, redesigning workflows, stakeholder communication
12%
Domain 5: Configuration and Knowledge Management
Project instructions, Project knowledge, connectors, maintaining configurations
15%
Domain 6: Governance, Risk, and Responsible Use
Appropriate use, data sensitivity, anonymization, AI policy, ethics
10%
Domain 7: Troubleshooting and Optimization
Diagnosing weak outputs, adjusting from feedback, optimizing workflows
How to use this glossary
- Use these definitions as a quick-lookup reference when studying lessons or working through practice questions.
- Pay close attention to the exam context notes. They highlight how each term is likely to appear in exam questions.
- Follow the “See also” links to dive deeper into the relevant lesson content.