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Anthropic CCDV-F Exam Overview:

Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

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. 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.
B. Examine the custom tool option by scoping the implementation effort and determining whether the additional flexibility justifies the development and maintenance cost.
C. 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.
D. Evaluate whether the missing feature can be addressed by extending the built-in tool or warrants a custom tool, then choose accordingly.

Question 2

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

Question 3

You are building an MCP server that exposes several internal data sources as MCP resources. The server needs to be deployed so multiple Claude applications can integrate with it.
How would you approach the build and deployment?

A. Author the server with clearly defined resources, tools, and prompts, choose a communication pattern, and deploy to an accessible hosting environment.
B. Build the MCP server with resource and tool definitions scoped to the first Claude application that needs it, and extend the definitions to additional applications as each integration is requested.
C. Deploy the MCP server only on individual developer machines, with the Claude applications unable to reach the server outside each developer's machine.
D. Bypass the MCP server and embed each data source directly in every Claude application that needs the data, with each application maintaining its own integration.

Question 4

You are integrating Claude into an application written in Python. The Claude SDK provides a Python client that wraps the underlying REST API.
How would you integrate the SDK?

A. Use a different LLM provider's SDK and translate the responses into Claude's API shape so the application can switch providers in the future.
B. Use the Claude Python SDK and let it handle authentication, retries, and response parsing through its standard documented patterns for Python integrations.
C. Call the REST API directly with raw HTTP requests so the application avoids the SDK's abstraction between the application code and the API.
D. Skip the SDK and embed Claude calls in shell commands invoked from Python, so that the application runs the calls outside the main Python process.

Question 5

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. A system prompt embedded in every Claude Code conversation by each developer at the start of every session in the project.
B. The settings.json file, scoped at the project level so the configuration applies consistently across developers and persists with the repository.
C. Environment variables that each developer sets on their own machine when working with Claude Code on the project.
D. A shared spreadsheet that lists configuration values for team members to reference and update by hand as the project evolves.

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