CCAO-F · exam guide v1.0 · effective 2026-07
Claude Certified Associate – Foundations
Exam blueprint and preparation reference
The certification is intended for professionals who use Claude as a productivity tool and build Claude Projects in their day-to-day roles.
About this certification
The Claude Certified Associate – Foundations certification validates that an individual can apply Claude to complete business and productivity tasks with minimal guidance. This includes using built-in platform features, capabilities, and tools to streamline workflows; identifying opportunities to improve processes with Claude; selecting approaches that balance quality, efficiency, and cost; and recognizing limitations and escalating more complex or technical work to Claude Architects and Developers. It is intended for professionals who use Claude as a productivity tool in roles such as operations, marketing, project management, education, and communications.
No practice items for this credential, by choice.
Its blueprint is fully transcribed, so everything on this page is current. No item bank will be written against it: CCAO-F earns no tier credit, and authoring practice for it would spend the effort that the three credentials which do count have a claim on. Practice is live for CCAR-F, CCDV-F, CCAR-P.
Exam content outline
Domain names and weights are the guide's. “Expected items” is weight × 60 — what a real sitting draws, not a prediction about anyone's score.
| Domain | Weight | Expected items |
|---|---|---|
| D1 Prompting and Task Execution | 14% | 8 |
| D2 Output Evaluation and Validation | 21% | 13 |
| D3 Product and Model Selection | 12% | 7 |
| D4 Workflow Integration and Solution Design | 16% | 10 |
| D5 Configuration and Knowledge Management | 12% | 7 |
| D6 Governance, Risk, and Responsible Use | 15% | 9 |
| D7 Troubleshooting and Optimization | 10% | 6 |
Objectives, by domain
This guide publishes a flat list of objectives per domain rather than numbered task statements. Exam items are written against these.
D1 Prompting and Task Execution
- Create effective prompts for business and technical tasks
- Apply task decomposition techniques to structure complex requests
- Iterate prompts to improve output quality
- Adapt prompting strategies based on task type (analysis, research, drafting, brainstorming)
D2 Output Evaluation and Validation
- Evaluate Claude-generated outputs for accuracy and completeness
- Identify hallucinations, inconsistencies, and biases in responses
- Apply fact-checking and validation techniques
- Determine when human review or additional verification is required
- Edit, adapt, refine, and compare outputs for the intended audience
- Organize and curate information and select appropriate output formats (artifacts, inline, structured data)
D3 Product and Model Selection
- Select appropriate Claude product features (Projects, research mode, chat, artifacts)
- Differentiate between Claude model types (Haiku, Sonnet, Opus)
- Align model selection with task requirements (cost, speed, quality)
- Understand and manage context limitations and memory considerations (when to restart, summarize, or persist)
D4 Workflow Integration and Solution Design
- Apply Claude to analyze requirements and use cases
- Leverage Claude for research, planning, and process optimization
- Use Claude to support solution design, development, and iteration
- Integrate Claude into existing workflows to augment or redesign them
- Communicate Claude's value and limitations to stakeholders
D5 Configuration and Knowledge Management
- Configure Claude Projects with instructions and knowledge sources
- Manage uploaded knowledge and connectors (e.g., Google Drive, Gmail)
- Create effective system-level instructions
- Inform, maintain, and update Claude configurations, knowledge sources, and instructions
D6 Governance, Risk, and Responsible Use
- Identify appropriate and inappropriate use cases
- Apply data sensitivity, regulatory, and privacy considerations
- Follow organizational AI policies and governance standards
- Understand the ethical implications of AI usage
D7 Troubleshooting and Optimization
- Identify, diagnose, and resolve issues with underperforming prompts or poor outputs
- Adjust approach based on feedback and results
- Optimize workflows for efficiency and effectiveness
Exam details and policies
- Form
- 60 items · 120 minutes multiple-choice, multiple-response
- Fee
- $99
- Cut score
- 720 of 1000 Scaled from a standard-setting study, so it is not 72%. No practice percentage converts into it.
- Valid for
- 12 months
- Delivery
- Proctored: online proctored and/or test center, per program policy
- Result reporting
- Pass/fail with scaled score (100–1,000), plus percent-correct by domain on the score report
Prerequisites
There are no mandatory prerequisites or required courses, and no software-development or API experience is needed. The experience above is recommended, not required. The credential is awarded based on exam performance alone.
Link the company email domain before you book.
Linking takes 7–10 days, and a certification earned on an unlinked domain does not credit
toward the Claude Partner Network Services Track count. This is our program note, not
Anthropic exam-guide content — see docs/partner-status.md.