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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You are building a Claude application that needs to maintain a persistent connection to a service that streams real-time updates. The team is unsure what communication pattern to use.
Which communication pattern would you use?

A. A single long HTTP request the server holds open indefinitely, with no standard WebSocket framing on the connection.
B. Repeated short-lived HTTP polling requests, where the application opens a new HTTP connection each time it checks for updates.
C. File-based communication where the service writes new updates to disk and the application polls the file system for changes.
D. A WebSocket, because WebSockets are designed for bidirectional, persistent, real-time communication between the client and the streaming service.

Question 2

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. Initialize Claude Code in the repository and document the standards and project-specific context in a CLAUDE.md file at the repository root.
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. Document the standards in a separate wiki page maintained outside the repository so the documentation stays decoupled from the source code.

Question 3

Your Claude application uses tool calling to fetch patient data and generate summary reports. The flow occasionally fails because the model returns a tool_use block that references arguments not present in the schema, and your application code does not handle this case gracefully.
How would you address this?

A. Stop using tool calling entirely and replace tools with prompted text generation that asks the model to describe what it would do.
B. Log invalid tool_use blocks when they occur and allow the tool dispatch to proceed, relying on the tool's own error handling to surface failures back to the application.
C. Retry the same request repeatedly until the model returns a valid tool_use block that matches the schema as expected.
D. Validate the tool_use block's arguments against the tool schema before dispatching the tool and handle invalid arguments as a recognized error path.

Question 4

Your team uses Claude Code across multiple repositories. You want the team's rules and general coding standards to apply to all repositories, and other rules to apply only to specific repositories. The team is currently duplicating instructions across every repository's CLAUDE.md file.
How would you address this?

A. Use a CLAUDE.md hierarchy that scopes general standards broadly and project-specific context within each repository's local CLAUDE.md.
B. Use a single repository's CLAUDE.md as the central source of truth and link to it from every other repository's CLAUDE.md file.
C. Move all instructions to a separate documentation site that developers consult during Claude Code sessions across all repositories.
D. Stop using CLAUDE.md altogether and ask each developer to configure Claude Code manually for each project they work on.

Question 5

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. Explain that temperature controls sampling randomness and is unrelated to context capacity, then address the context issue through summarization or chunking.
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. 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.

Solutions: