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Anthropic CCDV-F Exam Overview:

Anthropic CCDV-F Exam Syllabus Topics:

Common Questions About the Anthropic CCDV-F Exam

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

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.

Question 2

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

Question 3

Your application uses the Messages API to handle multi-turn conversations. Each new turn resends the entire conversation history, and your token costs are growing as conversations get longer. You suspect there is a more efficient approach.
How would you address this?

A. Use prompt caching to reuse the static portions of the conversation context across turns instead of paying for them at the normal input-token rate on every request the application sends.
B. Switch to the Batch API for every turn so the per-call cost is reduced, treating the batch as the team's primary cost-control mechanism for multi-turn work.
C. Truncate every conversation to the last two messages so that token usage stays low and costs remain predictable across the application's normal operation.
D. Summarize each conversation after every turn and replace the full history with the summary on the next request, reducing token count at the cost of fidelity.

Question 4

The Anthropic API deprecated a request parameter that your Claude application uses in approximately 40 places across the codebase. The deprecation notice gives a six-month window before the parameter is removed and recommends a replacement parameter with slightly different semantics.
You would respond to the deprecation by...

A. Migrating all 40 call sites in a single change near the removal date to ensure the deprecated parameter continues to work as long as possible.
B. Keeping the deprecated parameter in place while writing a wrapper function around it to insulate the rest of the codebase from the eventual change.
C. Adding regression tests to cover the parameter's behavior, then migrating call sites in batches that you validate against regression tests.
D. Swapping all 40 call sites in a single change right away to prevent drawn-out migration work that will delay ongoing functioning.

Question 5

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

Solutions: