Anthropic Claude Certified Developer-Foundations : CCDV-F Exam

  • 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: Applications and Integration33.1%- SDK and third-party integration
- Claude Messages API
- Streaming and Batch API
- Vision capabilities
Topic 2: Agents and Workflows14.7%- Claude Agent SDK usage
- Agent architecture principles
- Memory and context management
- Workflow vs autonomous agents
Topic 3: Security and Safety8.1%- AI application security
- Guardrails and safety controls
Topic 4: Claude Code3.1%- Claude Code configuration and usage
Topic 5: Evaluation, Testing, and Debugging2.6%- Error handling and debugging
- Output evaluation and validation
Topic 6: Model Selection and Optimization16.8%- Claude model family characteristics
- Latency and performance trade-offs
- Cost and token optimization
Topic 7: Tools and Model Context Protocol (MCP)10.6%- MCP server development
- Tool integration and usage
Topic 8: Prompt and Context Engineering11%- Structured output handling
- Prompt design and structuring
- Context window management

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

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 use whichever output format it considers most appropriate for each request the application handles.
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 return JSON sometimes and free text other times so the application's output captures both formats.
D. Include explicit constraints describing the required JSON schema and an instruction to produce only output matching that schema.


Question 2

The team is debating whether to integrate with the Claude API directly or through a third-party abstraction layer that supports multiple LLM providers. The team has identified that all current and projected use cases run on Claude, no internal customer has requested LLM portability, and the team's product roadmap does not mention multi-provider support over the next two years. The third-party abstraction would add roughly 15 percent overhead in code complexity and introduce one additional dependency.
Which integration approach would you recommend?

A. A custom multi-provider abstraction layer the team builds in-house so that the team controls every part of the abstraction the application uses for its API calls.
B. Direct integration with Claude through its SDK, because no multi-provider need exists and abstraction would add complexity that does not pay off.
C. Both integration paths in parallel, where the application uses each path on different runs to compare which performs better in production over time.
D. The third-party abstraction layer, on the grounds that multi-provider support is valuable for any application as a matter of long-term flexibility across vendors.


Question 3

You are setting up a CI/CD pipeline for a new Claude application. The pipeline needs to run automated checks on every pull request before code can be merged.
The CI/CD checks would include...

A. A full end-to-end production deployment on every pull request to catch all possible issues before any code is merged into the main branch.
B. Automated linting and security scanning, with Claude integration testing handled manually during pre- release verification by a designated reviewer.
C. Automated tests of the Claude integration only, with linting handled separately during local development on each developer's machine.
D. Automated tests of the Claude integration, linting, and any other standard quality gates the team applies to its other services.


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. 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.
D. 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.


Question 5

Your team's Claude agent has accumulated several customizations that bypass the SDK's defaults, including custom history management, retry logic, and error handling. A new team member has proposed reverting all the customizations to maintain the codebase more easily. The tech lead disagrees and says each customization was added for a reason.
How would you advise the team?

A. Migrate the agent off the SDK and rebuild it with a custom loop.
B. Revert all customizations to the SDK's defaults to standardize the codebase.
C. Keep all customizations, trusting that the tech lead's original reasoning is still valid.
D. Decide on each customization individually based on its original reason and the SDK's current capabilities.


Solutions:

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

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