Study Guide
CCA-F Exam Study Guide
Use this guide to study the Anthropic Claude Certified Architect - Foundations outline. It covers Claude Code configuration, multi-agent architecture, prompt reliability, MCP tool design, and context management patterns tested by the CCA-F pack.
How the Exam Is Structured
The shared CCA-F outline is organized into five domains and approximately 50 multiple-choice questions. The ExamPal practice bank includes 492 premium questions and 40 free questions mapped across the same domains.
| Domain | Weight | Focus |
|---|---|---|
| Domain 1: Claude Code Configuration & Workflows | 25% | Claude Code installation, configuration, and project initialization; Slash commands, hooks, and automation |
| Domain 2: Agentic Architecture & Orchestration | 19% | Single-agent vs multi-agent design patterns; Background work, async patterns, and notifications |
| Domain 3: Prompt Engineering & Structured Output | 19% | Prompting techniques for Claude; Structured output and JSON mode |
| Domain 4: Tool Design & MCP Integration | 19% | Tool interface design; MCP server design and integration |
| Domain 5: Context Management & Reliability | 15% | Context window economics; Memory architectures |
25% of exam
Domain 1: Claude Code Configuration & Workflows
Covers Claude Code setup, configuration hierarchy, command usage, automation hooks, subagents, and team workflow integration. This domain emphasizes how to configure Claude Code safely and effectively across user, project, and local scopes, and how to orchestrate work with commands, hooks, agents, and IDE/MCP integrations. Candidates should be ready to connect these concepts to realistic architecture and workflow decisions, especially where configuration scope, tool boundaries, context management, and operational reliability affect production use.
19% of exam
Domain 2: Agentic Architecture & Orchestration
Covers agent design patterns, orchestration strategies, asynchronous execution, handoff workflows, and core Agent SDK concepts. This domain focuses on choosing the right agent structure, coordinating work across agents, and managing lifecycle and context flow in agentic systems. Candidates should be ready to connect these concepts to realistic architecture and workflow decisions, especially where configuration scope, tool boundaries, context management, and operational reliability affect production use.
19% of exam
Domain 3: Prompt Engineering & Structured Output
Covers prompting strategies, structured output techniques, long-context optimization, and reliability methods for Claude outputs. This domain emphasizes how to shape model behavior, produce valid machine-readable output, and verify results through sampling, critique, and grounding. Candidates should be ready to connect these concepts to realistic architecture and workflow decisions, especially where configuration scope, tool boundaries, context management, and operational reliability affect production use.
19% of exam
Domain 4: Tool Design & MCP Integration
Covers tool interface design, MCP server integration, structured error handling, and tool selection behavior. This domain focuses on building reliable tools and integrating them safely through MCP with appropriate trust, authentication, and error semantics. Candidates should be ready to connect these concepts to realistic architecture and workflow decisions, especially where configuration scope, tool boundaries, context management, and operational reliability affect production use.
15% of exam
Domain 5: Context Management & Reliability
Covers context window management, memory architectures, production reliability patterns, and observability/debugging practices. This domain emphasizes preserving useful context, managing memory across sessions, and operating agents reliably with strong monitoring and testing. Candidates should be ready to connect these concepts to realistic architecture and workflow decisions, especially where configuration scope, tool boundaries, context management, and operational reliability affect production use.
Key Terms to Know
These terms are loaded from the CCA-F terminology release pack and appear across the question explanations.
- API key
- A credential used to authenticate access to an API or service.
- CLAUDE.md
- A persistent instruction file that provides guidance to Claude Code sessions but does not enforce runtime actions.
- context window
- The bounded amount of information a model can access and process in a single interaction.
- conversation history
- The accumulated prior messages and interactions available to an agent as context.
- coordinator-subagent pattern
- An orchestration design where a coordinator delegates subtasks to subagents and combines their results.
- custom slash command
- A reusable command invoked with a slash prefix to package multi-step workflows into one action.
- errorCategory
- A structured field classifying the type of error returned by a tool or system.
- ETL
- Extract, transform, load; a sequential data-processing pipeline where each stage depends on the previous one.
- hook
- An execution-time interception mechanism that can enforce, modify, or block actions.
- intermediate context
- Temporary working information generated during subtask processing before final aggregation.
- isError
- A response field indicating whether a tool call resulted in an error.
- latency
- The time delay between initiating a request and receiving its result.
- lifecycle events
- Named stages in Claude Code execution, such as session start, prompt submission, tool use, and stop.
- MCP tool
- A tool integrated through the Model Context Protocol that returns structured responses to agent requests.
- model calls
- Requests made to an AI model for inference or generation.
- overhead
- Additional computational or operational cost introduced by a design choice without proportional benefit.
- parallelism
- The ability to perform multiple tasks concurrently to reduce overall latency.
- refresh policies
- Rules that determine when stored data should be updated to maintain accuracy.
Official Materials and Guidance
This page is built from the CCA-F shared syllabus, topic tree, terminology pack, free pack, and premium pack. Treat the domain outline as the source of truth for study scope, then use the free practice exam to check whether you can apply those concepts in realistic scenario questions.