Claude Certified Associate-Foundations (CCAO-F) - 6 Exams

This practice test bundle contains multiple full-length practice exams for the Anthropic Claude Certified Associate — Foundations (CCAO-F) exam. Each exam is built from a pool of original questions, weighted by domain to match the official exam blueprint.

D1: Prompting and Task Execution (14% of the exam), covering create effective prompts for business and technical tasks, iterate prompts to improve output quality, apply task decomposition techniques to structure complex requests, adapt prompting strategy by task type (analysis, research, drafting, brainstorming). You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

D2: Output Evaluation and Validation (21% of the exam), covering 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 output formats (artifacts, inline, structured data). You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

D3: Product and Model Selection (12% of the exam), covering 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 (when to restart, summarize, or persist). You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

D4: Workflow Integration and Solution Design (16% of the exam), covering 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. You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

D5: Configuration and Knowledge Management (12% of the exam), covering configure claude projects with instructions and knowledge sources, create effective system-level (project) instructions, manage uploaded knowledge and connectors (e.g., google drive, gmail), inform, maintain, and update configurations, knowledge sources, and instructions. You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

D6: Governance, Risk, and Responsible Use (15% of the exam), covering 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. You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

D7: Troubleshooting and Optimization (10% of the exam), covering identify, diagnose, and resolve issues with underperforming prompts or poor outputs, adjust approach based on feedback and results, optimize workflows for efficiency and effectiveness. You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

Exams are arranged in graduated difficulty, from warm-up through exam simulation, so you can build confidence before testing under real conditions. Every question includes a detailed explanation covering why the correct answer is right and why each distractor is wrong.

Major topics covered: create effective prompts for business and technical tasks, iterate prompts to improve output quality, apply task decomposition techniques to structure complex requests, adapt prompting strategy by task type (analysis, research, drafting, brainstorming), 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 output formats (artifacts, inline, structured data), 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 (when to restart, summarize, or persist), 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, configure claude projects with instructions and knowledge sources, create effective system-level (project) instructions, manage uploaded knowledge and connectors (e.g., google drive, gmail), inform, maintain, and update configurations, knowledge sources, and instructions, 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, identify, diagnose, and resolve issues with underperforming prompts or poor outputs, adjust approach based on feedback and results, optimize workflows for efficiency and effectiveness, CCAO-F exam prep 2026.