Anthropic CCDV-F : Claude Certified Developer-Foundations

  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • Updated: Aug 30, 2026
  • Q & A: 97 Questions and Answers

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Anthropic CCDV-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prompt and Context Engineering11%- Context Engineering
  • 1. Manage context windows and application context
    • 2. Apply context management strategies for agents and long-running workflows
      - Prompt Engineering
      • 1. Design prompts appropriate to application requirements
        • 2. Apply prompting techniques to improve reliability and output quality
          Topic 2: Eval, Testing, and Debugging2.6%- Testing and Debugging
          • 1. Test Claude integrations and agentic systems
            • 2. Diagnose and debug application, agent, and integration issues
              - Evaluation
              • 1. Design and run evaluations for Claude-powered applications
                • 2. Interpret evaluation results and improve application quality
                  Topic 3: Applications and Integration33.1%- 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
                        - 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
                              Topic 4: Tools and MCPs10.6%- Tool Development and Integration
                              • 1. Handle tool schemas, invocation, and tool-use results
                                • 2. Design and implement custom tools for Claude applications and agents
                                  - Model Context Protocol
                                  • 1. Apply MCP concepts and patterns for connecting models to external capabilities
                                    • 2. Build and integrate MCP servers
                                      Topic 5: Agents and Workflows14.7%- Subagents and Agentic Frameworks
                                      • 1. Apply appropriate agentic frameworks and orchestration patterns
                                        • 2. Use subagents and coordinate multi-agent workflows
                                          - Agent Architecture and Tradeoffs
                                          • 1. Evaluate tradeoffs between agentic approaches and traditional workflows
                                            • 2. Select appropriate agent architectures and patterns
                                              - Claude Agent SDK and Agent Loops
                                              • 1. Build and configure agents using the Claude Agent SDK
                                                • 2. Implement and manage custom agent loops
                                                  Topic 6: Security and Safety8.1%- Secure Application Design
                                                  • 1. Protect sensitive data and manage access appropriately
                                                    • 2. Apply secure-by-design practices to Claude-powered applications
                                                      - Safety and Guardrails
                                                      • 1. Use hooks and other mechanisms to enforce application controls
                                                        • 2. Implement safety controls and guardrails
                                                          Topic 7: Claude Code3.1%- Claude Code Configuration and Usage
                                                          • 1. Use CLAUDE.md and project configuration
                                                            • 2. Use Skills, plugins, and Claude Code capabilities effectively
                                                              • 3. Configure settings and development environments
                                                                Topic 8: Model Selection and Optimization16.8%- Model Selection
                                                                • 1. Select appropriate Claude models for task requirements
                                                                  • 2. Evaluate quality, latency, capability, and cost tradeoffs
                                                                    - Performance and Cost Optimization
                                                                    • 1. Apply prompt caching and other cost optimization techniques
                                                                      • 2. Use batching and other approaches to improve efficiency

                                                                        Anthropic Claude Certified Developer-Foundations Sample Questions:

                                                                        Question 1

                                                                        Your Claude application processes 50-page legal contracts and produces summaries with citation references back to the source. The team is debating whether to send each contract whole or split it into smaller pieces.
                                                                        The contracts fit within Claude's context window. Initial testing shows that whole-document processing produces summaries with stronger cross-section reasoning but occasionally drifts on citation accuracy in later sections. Chunked processing produces stronger citation accuracy per chunk but loses cross-section reasoning.
                                                                        The team has not decided which property matters more.
                                                                        How would you guide the team's decision?

                                                                        A. Review the citation accuracy results from chunked processing and determine whether the loss of cross- section reasoning produces summaries that still meet the application's quality bar.
                                                                        B. Examine the use cases where cross-section reasoning failures occur and assess whether whole- document processing meets the application's accuracy requirements across a representative sample of contracts.
                                                                        C. Identify which property matters more for the application's actual use case and let that decision drive the chunking approach, then validate the choice against representative contracts.
                                                                        D. Assess the cost and latency implications of both approaches against the application's performance requirements before recommending which processing strategy to adopt.


                                                                        Question 2

                                                                        Your Claude application is hitting context window limits when processing long customer service transcripts.
                                                                        A junior developer suggests increasing the temperature parameter to fix the issue.
                                                                        How would you respond?

                                                                        A. Remove the system prompt entirely to make room for longer transcripts in each request, freeing up context window space the system prompt would otherwise consume.
                                                                        B. Increase the temperature parameter as the junior developer suggested and observe whether the context window issue resolves over the next several runs of the application in production.
                                                                        C. Adjust the temperature parameter together with the max_tokens parameter, treating the combined adjustment as the team's mechanism for managing context window pressure during long-transcript processing.
                                                                        D. Explain that temperature controls sampling randomness and is unrelated to context capacity, then address the context issue through summarization or chunking.


                                                                        Question 3

                                                                        You are reviewing an architectural diagram for a Claude-powered travel-booking system. The diagram shows a top-level component that interprets user requests and three subordinate components that handle flights, hotels, and ground transportation. The top-level component is responsible for routing each request, sequencing the subordinate components, and reconciling their outputs into a final itinerary. The diagram also shows that each subordinate component has its own tool list and own short conversation history that is not shared with the others.
                                                                        Which architectural pattern does this diagram most closely describe?

                                                                        A. A manager and supervisor pattern with shared context, where the top-level agent and the subagents all share a single conversation history that grows as the request flows through the system.
                                                                        B. A pipeline pattern, where each component processes the user request in sequence and passes the full conversation history along with the request to the next component in the pipeline.
                                                                        C. A retrieval-augmented pattern, where the top-level component retrieves relevant context from the subordinate components' indexed data stores before generating each response.
                                                                        D. A manager and supervisor pattern with isolated context per subagent, where the top-level agent coordinates specialized subagents that each maintain their own conversation history and tool list.


                                                                        Question 4

                                                                        You are designing a Claude application that helps medical researchers analyze multi-step clinical case studies.
                                                                        The application must work through differential diagnoses by considering symptom patterns, weighing evidence across competing hypotheses, and showing intermediate reasoning steps before producing a final recommendation. The team is choosing among Claude's available model options.
                                                                        The model option best suited to this use case is...

                                                                        A. A smaller model with a tighter context window, which encourages the model to focus its limited capacity on the task.
                                                                        B. Fast mode, which prioritizes the lowest possible latency at the expense of reasoning depth on complex tasks.
                                                                        C. Zero-shot prompting alone with no model option adjustments, which keeps the application's configuration as simple as possible.
                                                                        D. Extended thinking, which lets the model reason through the differential diagnosis steps before producing the final recommendation.


                                                                        Question 5

                                                                        You are writing a system prompt for a Claude application that needs to produce output in a specific JSON shape. The downstream system will reject any output that does not match the schema.
                                                                        Your prompt would need to...

                                                                        A. Instruct Claude to return JSON sometimes and free text other times so the application's output captures both formats.
                                                                        B. Omit any reference to the format and rely on a post-processing step in the application to reshape Claude's output.
                                                                        C. Instruct Claude to use whichever output format it considers most appropriate for each request the application handles.
                                                                        D. Include explicit constraints describing the required JSON schema and an instruction to produce only output matching that schema.


                                                                        Solutions:

                                                                        Question 1
                                                                        Answer: C
                                                                        Question 2
                                                                        Answer: D
                                                                        Question 3
                                                                        Answer: D
                                                                        Question 4
                                                                        Answer: D
                                                                        Question 5
                                                                        Answer: D

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