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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

Your agent makes 10 to 15 tool calls per task, and you have noticed it sometimes loses track of earlier results by the time it reaches later steps. The agent's context window is large enough to hold all the messages, but the relevant information appears to get buried as the conversation grows.
How would you address this?

A. Reduce the number of tool calls per task by combining several existing tools into larger, multi-purpose tools.
B. Increase the context window further so all tool outputs from every prior step remain in full detail throughout the task.
C. Switch to a different agentic framework that advertises automatic context-window management as a built-in feature.
D. Apply a context-management pattern that summarizes or prunes older tool outputs while preserving the active task state.

Question 2

A new agent your team built handles customer support tickets, but it routinely gets confused when a single ticket spans billing, shipping, and product issues. The agent often loses track of which sub-issue it has already addressed and revisits the same one. The team is considering architectural changes.
What architectural change would you recommend?

A. Introduce an orchestrator agent that delegates billing, shipping, and product sub-issues to dedicated subagents.
B. Increase the size of the agent's context window so it can hold the full ticket history at once.
C. Add detailed prompting that instructs the agent to track which sub-issues have been resolved and which remain.
D. Switch to a deterministic workflow that handles billing, shipping, and product issues in a fixed sequence.

Question 3

Your Claude application is producing inconsistent outputs for similar inputs, even when using the same model and prompt. You want to debug the issue systematically.
Your debugging approach would...

A. Lower the model's temperature and re-run the inconsistent inputs to determine whether the parameter change reduces output variability across runs.
B. Capture full traces of input, system prompt, user messages, model output, and parameters, then analyze the differences between consistent and inconsistent runs.
C. Retry every request that produces an unexpected output and log the results to identify whether repeated calls converge on a consistent response pattern.
D. Assume inconsistent outputs reflect normal LLM non-determinism and document the variability as an accepted characteristic of the application's behavior.

Question 4

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. Automated linting and security scanning, with Claude integration testing handled manually during pre- release verification by a designated reviewer.
B. Automated tests of the Claude integration, linting, and any other standard quality gates the team applies to its other services.
C. Automated tests of the Claude integration only, with linting handled separately during local development on each developer's machine.
D. 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.

Question 5

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.

Solutions: