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Anthropic CCDV-F Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Applications and Integration | 33.1% | - Claude API and Client SDKs
- 1. Implement streaming and handle API errors
- 2. Construct and process API requests and responses
- 3. Integrate applications with the Claude API and supported client SDKs
- Application Development and Integration
- 1. Integrate Claude capabilities into existing software systems and workflows
- 2. Build and ship production-grade Claude-powered applications
- 3. Handle multimodal and structured application inputs and outputs
|
| Topic 2: Tools and MCPs | 10.6% | - Model Context Protocol
- 1. Build and integrate MCP servers
- 2. Apply MCP concepts and patterns for connecting models to external capabilities
- Tool Development and Integration
- 1. Handle tool schemas, invocation, and tool-use results
- 2. Design and implement custom tools for Claude applications and agents
|
| Topic 3: Eval, Testing, and Debugging | 2.6% | - Evaluation
- 1. Design and run evaluations for Claude-powered applications
- 2. Interpret evaluation results and improve application quality
- Testing and Debugging
- 1. Diagnose and debug application, agent, and integration issues
- 2. Test Claude integrations and agentic systems
|
| Topic 4: Agents and Workflows | 14.7% | - Claude Agent SDK and Agent Loops
- 1. Build and configure agents using the Claude Agent SDK
- 2. Implement and manage custom agent loops
- Agent Architecture and Tradeoffs
- 1. Select appropriate agent architectures and patterns
- 2. Evaluate tradeoffs between agentic approaches and traditional workflows
- Subagents and Agentic Frameworks
- 1. Use subagents and coordinate multi-agent workflows
- 2. Apply appropriate agentic frameworks and orchestration patterns
|
| Topic 5: Prompt and Context Engineering | 11% | - Context Engineering
- 1. Manage context windows and application context
- 2. Apply context management strategies for agents and long-running workflows
- Prompt Engineering
- 1. Apply prompting techniques to improve reliability and output quality
- 2. Design prompts appropriate to application requirements
|
| Topic 6: Security and Safety | 8.1% | - Secure Application Design
- 1. Apply secure-by-design practices to Claude-powered applications
- 2. Protect sensitive data and manage access appropriately
- Safety and Guardrails
- 1. Use hooks and other mechanisms to enforce application controls
- 2. Implement safety controls and guardrails
|
| Topic 7: Claude Code | 3.1% | - Claude Code Configuration and Usage
- 1. Use CLAUDE.md and project configuration
- 2. Configure settings and development environments
- 3. Use Skills, plugins, and Claude Code capabilities effectively
|
| Topic 8: Model Selection and Optimization | 16.8% | - Model Selection
- 1. Select appropriate Claude models for task requirements
- 2. Evaluate quality, latency, capability, and cost tradeoffs
- Performance and Cost Optimization
- 1. Use batching and other approaches to improve efficiency
- 2. Apply prompt caching and other cost optimization techniques
|
Anthropic Claude Certified Developer-Foundations Sample Questions:
Question 1
Your Claude application's outputs are inconsistent in format. The team's instructions are scattered across the system prompt and user messages, with some instructions stated only once and others repeated.
How would you fix the inconsistency?
A. Consolidate behavioral and format instructions in the system prompt and keep user messages focused on the user's input.
B. Move all instructions into the user message so the application's behavior is controlled at the input point.
C. Place each instruction wherever the developer who first wrote it found most natural, retaining the original intent.
D. Repeat all instructions in both the system prompt and the user message so the model sees each instruction more than once.
Question 2
You are configuring Claude Code for a new project. The team needs to set permissions, default model selections, and environment-specific behavior at the project level so the configuration is consistent across all developers working on the repository.
The Claude Code mechanism you would use is...
A. Environment variables that each developer sets on their own machine when working with Claude Code on the project.
B. A system prompt embedded in every Claude Code conversation by each developer at the start of every session in the project.
C. The settings.json file, scoped at the project level so the configuration applies consistently across developers and persists with the repository.
D. A shared spreadsheet that lists configuration values for team members to reference and update by hand as the project evolves.
Question 3
The team is debating whether to build a new capability as a custom tool or to use an existing built-in tool that nearly covers the use case but lacks one specific feature.
How would you decide?
A. Examine the custom tool option by scoping the implementation effort and determining whether the additional flexibility justifies the development and maintenance cost.
B. Evaluate whether the missing feature can be addressed by extending the built-in tool or warrants a custom tool, then choose accordingly.
C. Review the built-in tool's documentation and assess whether its existing capabilities are sufficient to cover the use case without any modification or extension.
D. Identify whether the team has previously built similar custom tools and use those precedents to determine which approach is more consistent with the existing codebase.
Question 4
Your Claude agent has access to a tool that retrieves customer records. A teammate has noticed that the agent occasionally calls the tool with arguments the schema does not declare, and the tool's downstream service returns an error each time. The teammate proposes loosening the schema so the tool accepts whatever arguments the model produces.
How would you respond?
A. Loosen the schema as the teammate proposed so the downstream service receives every call the agent makes during normal operation.
B. Keep the schema strict, validate arguments before dispatching, and return a structured error so the agent can retry.
C. Add a system prompt instruction telling the model to produce schema-conforming arguments, treating the prompt instruction as the primary mechanism for keeping the agent's tool calls valid.
D. Remove the schema entirely and rely on the downstream service to reject invalid calls, treating the downstream service as the team's primary enforcement layer.
Question 5
A teammate is debugging a Claude application whose system prompt has grown to several hundred lines and now contains overlapping, contradictory, and obsolete instructions.
How would you advise the teammate?
A. Add more explicit instructions so the most recent rules dominate the model's interpretation of the prompt during each request.
B. Split the prompt across multiple system prompts so the model sees a smaller portion at any given time.
C. Tighten only the contradictory rules first, treating the overlap and obsolete content as lower-priority work the team can address later.
D. Audit the prompt for overlap, contradiction, and obsolete content, then refactor so each instruction is clear, current, and non-redundant.
Solutions:
Question 1 Answer: A | Question 2 Answer: C | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: D |