The Claude Certified Developer – Foundations (CCDV-F) certification is designed for technical professionals who build, integrate, and deliver Claude-powered applications at a foundational level. It validates the ability to use the Claude API and client SDKs, construct agents and workflows, operate Claude Code, create effective prompts, manage context, develop tools and MCP servers, and apply appropriate security, evaluation, and model-selection practices.

The exam assesses whether candidates can translate technical and business requirements into working Claude applications and support their development, deployment, operation, and maintenance. Candidates should be prepared to build agentic workflows with the Claude Agent SDK and other frameworks, integrate streaming and batch API capabilities, manage structured outputs and errors, configure Claude Code components, and evaluate trade-offs involving model capability, latency, cost, token usage, caching, safety, and tool selection.

Candidates seeking more information about the CCDV-F certification should review the official exam guide. The document describes the exam format, weighted content domains, recommended technical experience, detailed objectives, scoring method, exam policies, and suggested preparation activities.

CCDV-F Exam Domains

The exam domains for the Claude Certified Developer – Foundations (CCDV-F) certification represent the foundational skills required to build, integrate, and maintain Claude-powered applications, agents, and workflows. Candidates should be able to design agent and workflow architectures, integrate Claude through APIs and SDKs, operate Claude Code, debug application failures, select suitable models, manage prompts and context, apply security controls, and implement custom tools and MCP servers.

• Agents and Workflows – 14.7%
• Applications and Integration – 33.1%
• Claude Code – 3.1%
• Eval, Testing, and Debugging – 2.6%
• Model Selection and Optimization – 16.8%
• Prompt and Context Engineering – 11.0%
• Security and Safety – 8.1%
• Tools and MCPs – 10.6%

CCDV-F Study Materials

Before taking the Claude Certified Developer – Foundations (CCDV-F) certification exam, candidates should review the resources listed below. These materials can help strengthen the practical development skills required to build and integrate Claude-powered applications, including using the Claude API and SDKs, creating agents and workflows, operating Claude Code, applying prompt and context engineering, selecting appropriate models, managing tokens and costs, debugging application issues, implementing security controls, and developing custom tools or MCP servers.

• Tutorials Dojo’s Claude Certified Developer Foundations Practice Exams – coming soon!
• Claude Certified Developer – Foundations Certification Page
• Claude Certified Developer – Foundations Certification Exam Guide
• Anthropic Official Documentation and Learning Resources:
  • to follow….

Claude Features to Focus on for the CCDV-F Exam

Here is a list of Claude features and capabilities to focus on for the Claude Certified Developer – Foundations (CCDV-F) exam:

Claude API and Client SDKs

• Focus on integrating Claude into applications through the API, client SDKs, and third-party vendors.
• Review how the Claude API handles messages, tools, streaming, vision, thinking, caching, and multi-format input. Candidates should also be familiar with Messages API data access patterns, error handling, asynchronous programming, batch API use, and the trade-offs between real-time and batch processing.

Claude Models

• Compare the capabilities and common use cases of Claude Opus, Sonnet, and Haiku.
• Know how quality, latency, cost, and task requirements influence model selection. Important areas also include fast mode, extended thinking, adaptive thinking, effort levels, model version pinning, and possible breaking behavioral changes across model releases.

Claude Agent SDK

• Practice building agents and workflows with the Claude Agent SDK, custom agent loops, agent harnesses, and agentic frameworks.
• Be prepared to determine when a deterministic workflow is more appropriate than an agent. Review manager and supervisor hierarchies, subagents, tool-use loops, memory, context-window management, hooks for deterministic actions, and self-hosted versus Anthropic-hosted deployment models.

Claude Tools and Function Calling

• Study how tool use and function calling allow Claude applications to interact with external systems.
• Pay attention to function schemas, tool descriptions, external system configuration, tool error handling, and tool set construction. Candidates should recognize the differences between client-side and server-side tools, agentic harness dispatch, and approval patterns.

Claude Context Windows

• Know how tokens and context windows affect the amount of information Claude can process during a task.
• Apply context and memory management techniques that reduce context drift and bloat. These techniques include pruning tool output, compacting accumulated context, and isolating work through subagents or multi-step agentic workflows.

Model Context Protocol

• Review how MCP servers are authored, deployed, and integrated with Claude applications.
• Become familiar with MCP resources, tools, prompts, client and server responsibilities, and communication patterns involving standard input and output, sockets, and client-server interactions.

Claude Code

• Explore the primary Claude Code components, including Rules, Skills, Commands, Agents, and Agent Memory.
• Candidates should know how session management, built-in and custom slash commands, headless mode, streaming mode, and auto-mode are used. Other important areas include repository initialization, the CLAUDE.md hierarchy, settings.json configuration, and plugin management.

Claude Skills

• Recognize how Claude Skills support reusable customization within Claude-powered development workflows.
• Compare Skills with built-in tools, custom tools, and MCPs to determine which approach best matches a particular technical requirement.

CCDV-F Key Exam Topics by Domain

Domain 1: Agents and Workflows

• Agent and workflow architecture: Compare deterministic workflows with agents and identify which approach is more suitable for a given task. Review manager and supervisor hierarchies and how subagents can improve multi-step task execution.
• Agent construction and deployment: Build Claude agents using the Claude Agent SDK, custom agent loops, harnesses, and hooks for deterministic actions. Be familiar with self-hosted and Anthropic-hosted deployment models.
• Agent patterns and frameworks: Apply tool-use loops, memory, subagents, and context-window management. Review how frameworks such as Strands, LangGraph, and PydanticAI support agentic workflows.

Domain 2: Applications and Integration

• Requirements and systems lifecycle: Translate business requirements into functional and infrastructure requirements. Account for the development, implementation, operation, and maintenance of Claude-powered systems.
• Claude API and software integration: Work with messages, tools, streaming, vision, thinking, caching, multi-format input, third-party vendors, and batch processing. Review REST APIs, JSON, asynchronous programming, WebSockets, version control, code review, SDLC integration, and refactoring.
• Application and configuration design: Consider how Claude interprets instructions across Claude Code, Claude Desktop, claude.ai, APIs, and SDKs. Manage content boundaries, schemas, sessions, plugins, CLAUDE.md, settings.json, model versions, prompt versions, and plugin dependencies.

Domain 3: Claude Code

• Claude Code operation: Work with Rules, Skills, Commands, Agents, and Agent Memory. Review session management, built-in and custom slash commands, headless mode, streaming mode, auto-mode, repository initialization, the CLAUDE.md hierarchy, and settings.json.

Domain 4: Eval, Testing, and Debugging

• Debugging and error handling: Identify application error types and select suitable recovery strategies. Use trace analysis to locate failure modes and determine whether an issue originates from the integration layer or the model output.

Domain 5: Model Selection and Optimization

• LLM and technical fundamentals: Review tokens, context windows, sampling, non-determinism, and next-token generation. Be familiar with fast mode, extended thinking, adaptive thinking, effort levels, SDK-based REST API integration, and WebSockets.
• Model selection and trade-offs: Compare Opus, Sonnet, and Haiku according to task requirements. Evaluate quality, latency, cost, adaptive thinking support, and potential behavioral changes between model releases.
• Cost and token management: Track token usage, establish token budgets, model application costs, and apply prompt caching and cache checkpointing to improve cost efficiency.

Domain 6: Prompt and Context Engineering

• Context and memory management: Control context growth by pruning tool output, compacting accumulated information, and isolating work through subagents or multi-step agentic workflows.
• Prompt engineering: Write clear instructions, apply few-shot examples, choose appropriate system and user message placement, define output constraints, sanitize inputs, and refine prompts through repeated testing and adjustment.
• Output handling: Produce and validate structured outputs, apply defensive parsing, and avoid accepting confident model responses without appropriate verification.

Domain 7: Security and Safety

• AI application security: Protect Claude applications against prompt injection, jailbreaks, untrusted inputs, data leakage, and improper handling of personally identifiable information. Maintain authentication, authorization, confidentiality, privacy, and integrity.

• Guardrails and safe deployment: Apply content policies, layered guardrails, secure-by-design practices, identity and access management, and least-privilege permissions.
• Hooks, identities, and secrets: Use hooks to prevent destructive actions. Secure API keys, credentials, and secrets while validating identities, verifying access levels, approving access, and monitoring authorized use.

Domain 8: Tools and MCPs

• Tool implementation: Create tools and function schemas that allow Claude to interact with external systems. Write clear tool descriptions, handle errors, construct suitable tool sets, and apply client-side, server-side, dispatch, and approval patterns.
• MCP server development: Author, deploy, and integrate MCP servers. Review MCP resources, tools, prompts, client-server responsibilities, standard input and output, and socket-based communication.
• Agentic customization: Compare built-in tools, custom tools, Skills, and MCPs to select the most appropriate method for a given application requirement.

CCDV-F Important Skills to Focus on

Claude Application Design and Integration

• Translate business and technical requirements into working Claude applications with suitable functional and infrastructure components.
• Integrate Claude through the API, client SDKs, and third-party vendors while handling messages, streaming, vision, thinking, tools, caching, batch requests, errors, and multi-format input.

Agent and Workflow Development

• Determine whether a task requires a predefined workflow or an autonomous agent.
• Build agents with the Claude Agent SDK, custom loops, harnesses, subagents, memory, hooks, and supported agentic frameworks.

Prompt, Context, and Output Engineering

• Create clear prompts with suitable examples, instruction placement, output constraints, and input sanitization.
• Prevent context drift and bloat through pruning, compaction, and task isolation. Validate structured responses and use defensive parsing when consuming model output.

Claude Code and Configuration Management

• Operate Claude Code through its Rules, Skills, Commands, Agents, Agent Memory, session controls, slash commands, and operating modes.
• Configure CLAUDE.md, settings.json, model versions, prompt versions, plugins, and related dependencies consistently.

Security and Safe Deployment

• Defend applications against prompt injection, jailbreaks, untrusted input, data leakage, and destructive actions.
• Apply layered guardrails, hooks, least-privilege access, secure identity controls, and proper management of API keys, credentials, secrets, and personally identifiable information.

Tools, Skills, and MCP Development

• Implement custom tools and function schemas with suitable descriptions, approval patterns, dispatch methods, and error handling.
• Build and integrate MCP servers and compare built-in tools, custom tools, Skills, and MCPs according to the needs of the application.

Validate Your CCDV-F Exam Readiness

After reviewing the recommended materials, candidates can test their knowledge with Tutorials Dojo’s Claude Certified Developer – Foundations CCDV-F Practice Exams.

These practice tests cover major exam topics such as agents and workflows, Claude API integration, Claude Code, model selection, prompt and context engineering, debugging, security, tools, and MCP servers. They include multiple-choice and multiple-response questions, detailed explanations, and reference links that help candidates understand why each correct answer is the most appropriate solution.

Using the official exam guide together with Tutorials Dojo’s practice exams can help candidates identify knowledge gaps, strengthen weaker domains, and build the practical development skills needed to prepare for the CCDV-F exam.

CCDV-F Sample Practice Test Questions:

To be added soon… Stay tuned!

Check out our other practice exam offerings for AWS, Azure, and Google Cloud, featuring detailed explanations, by visiting the Tutorials Dojo Portal:

Final Remarks

Success in the CCDV-F exam requires a strong foundation in software development and practical experience building Claude-powered applications, agents, and workflows. Focus on Claude API integration, agent construction, Claude Code, model selection, prompt and context engineering, debugging, security, tools, and MCP server development. Strengthen technical decision-making by comparing workflows and agents, selecting suitable Claude models, managing tokens and costs, validating structured outputs, and applying appropriate guardrails and access controls. Candidates should also become familiar with the Claude Agent SDK, client SDKs, prompt caching, Skills, hooks, CLAUDE.md, and settings.json. Practice exams can help measure readiness and identify domains that require further review. With focused study and hands-on development experience, candidates can build the confidence needed to earn the Claude Certified Developer – Foundations certification. Good luck with your preparation!