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Updated: Aug 30, 2026
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| Certification Vendor: | Anthropic |
|---|---|
| Exam Name: | Claude Certified Developer - Foundations |
| Exam Number: | CCDV-F |
| Certificate Validity Period: | 12 months from award date |
| Exam Duration: | 120 minutes |
| Exam Price: | $125 USD |
| Passing Score: | 720/1000 (scaled score) |
| Exam Format: | Multiple Response, Multiple Choice |
| Available Languages: | English |
| Real Exam Qty: | 53 |
| Related Certifications: | Claude Certified Architect - Professional Claude Certified Architect - Foundations Claude Certified Associate - Foundations |
| Sample Questions: | Anthropic CCDV-F Sample Questions |
| Exam Way: | Proctored exam delivered through Pearson VUE, available as online proctored testing or at a Pearson VUE test center. |
| Pre Condition: | No mandatory prerequisite exam, course, degree, or prior certification. Recommended preparation includes 1-5 years of software engineering experience and 6+ months of hands-on experience with Claude or comparable LLM systems. |
| Official Syllabus URL: | https://www.anthropic.com/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt and Context Engineering | 11% | - Context Engineering - Prompt Engineering - Context Management and Long-Context Techniques |
| Topic 2: Claude Code | 3.1% | - Claude Code Configuration and Extensibility |
| Topic 3: Applications and Integration | 33.1% | - Streaming, Error Handling and Reliability - Multimodal and Structured Outputs - API Integration and Application Development - Claude API and Client SDKs - Message Batches and Prompt Caching - Software Engineering Fundamentals |
| Topic 4: Eval, Testing, and Debugging | 2.6% | - Evaluation, Testing, and Debugging |
| Topic 5: Model Selection and Optimization | 16.8% | - Performance Optimization - Model Selection - Cost and Latency Optimization - Model Capabilities and Trade-offs |
| Topic 6: Security and Safety | 8.1% | - Prompt Injection and Untrusted Content - Safety and Responsible Development - Application Security - Secure Tool Use and Guardrails |
| Topic 7: Agents and Workflows | 14.7% | - Agent Construction with Claude - Agent Architecture - Agent Patterns and Frameworks |
| Topic 8: Tools and MCPs | 10.6% | - Model Context Protocol - Tool Use and Tool Schemas - Building Custom Tools and MCP Servers |
Question 1
You are running Claude Code as part of an automated continuous integration pipeline. The pipeline needs Claude Code to execute a set of well-defined tasks without prompting for confirmation, and the output needs to be captured for downstream processing.
How would you configure the pipeline?
A. Run Claude Code in headless mode with the required permissions configured in settings.json and capture its output for downstream processing.
B. Replace Claude Code with a different tool that does not require any configuration to operate without confirmation prompts in the pipeline.
C. Disable Claude Code's confirmation prompts globally across all environments so the pipeline runs without interruption from any prompt.
D. Run Claude Code in interactive mode and have a developer manually approve every confirmation prompt while the pipeline executes its tasks.
Question 2
You are explaining to a stakeholder why running the same Claude prompt twice can produce slightly different results. The stakeholder is concerned this means the application is broken.
How would you address the stakeholder's concern?
A. Tell the stakeholder the variation is caused by Claude being updated continuously by Anthropic, and that switching to a fixed model snapshot will eliminate the variation entirely.
B. Tell the stakeholder the variation is a bug that the team will fix in the next release of the application, then create a work ticket to fix the bug.
C. Explain that LLMs are non-deterministic by default due to sampling, and describe how the application handles this through validation, retries, or temperature adjustment.
D. Tell the stakeholder the variation comes from network latency and that switching to a faster network connection will produce more consistent results across runs.
Question 3
A team has deployed a multi-agent system in which a primary agent decomposes user requests and delegates subtasks to three specialized subagents: one for data retrieval, one for analysis, and one for report generation.
In production, the team observes that subagents are making redundant tool calls, occasionally exceeding token budgets, and sometimes producing outputs that contradict each other - all of which the primary agent passes along without catching.
What is the most appropriate way to address these failures?
A. Add retry logic to each subagent so that when a tool call fails, the subagent retries automatically before escalating - and configure each subagent to log its tool calls and outputs to a shared trace so the team can audit redundancy and contradictions after the fact.
B. Collapse the three subagents into a single large-context model call that handles retrieval, analysis, and generation in one pass.
C. Strengthen the primary agent's management layer to enforce per-subagent tool budgets, validate outputs against a defined schema before passing them forward, and establish explicit handoff contracts between stages.
D. Give each subagent read access to the other subagents' outputs so they can identify and resolve contradictions without routing back through the primary agent.
Question 4
You are setting up Claude Code for a new project repository. Your team has shared coding standards, preferred libraries, and project-specific context that every developer working on the repository should have available when they use Claude Code.
How would you set this up?
A. Document the standards in a separate wiki page maintained outside the repository so the documentation stays decoupled from the source code.
B. Configure Claude Code through environment variables that each developer sets on their own machine when they begin working in the repository.
C. Add the coding standards and project context to the repository's existing README file and direct developers to reference it when starting Claude Code sessions.
D. Initialize Claude Code in the repository and document the standards and project-specific context in a CLAUDE.md file at the repository root.
Question 5
You are setting up the configuration management approach for a new Claude Code project. Your team will use CLAUDE.md files and settings.json files to control behavior, and you want to make sure changes are tracked and reviewable.
The configuration management approach would...
A. Duplicate CLAUDE.md and settings.json files in multiple repositories to provide redundancy, on the grounds that a single source of truth is risky for project configuration.
B. Version-control CLAUDE.md and settings.json files alongside the project's source code, with changes reviewed through standard pull request workflows the team applies.
C. Version-control CLAUDE.md alongside the project's source code and settings.json files in a separate repository from the project's source code.
D. Version-control CLAUDE.md and settings.json files in a separate repository from the project's source code, so configuration evolves independently from the application code over time.
Solutions:
| Question 1 Answer: A | Question 2 Answer: C | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: B |
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