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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

Your Claude agent has too many tools, and many of them have overlapping functionality. The agent often picks an inappropriate tool when several could plausibly handle a request.
How would you address the tool selection problem?

A. Add more tools to cover every variation of the requests the agent handles, on the grounds that more tools give the agent more accurate options to choose from.
B. Remove all tools and rely on the agent's general capability instead, with the application losing the workflows that previously relied on tools.
C. Restructure the tool set by consolidating overlapping tools, removing unused tools, and clarifying tool descriptions so each tool has a distinct purpose.
D. Add detailed examples to each tool's description so the agent can match incoming requests to the right tool by example, treating the examples as the team's selection mechanism.

Question 2

A Claude application that worked well in testing is now occasionally returning outputs that mention information not present in the input. The development team initially assumed the model was hallucinating, so they asked you to troubleshoot.
What would you do first?

A. Add a system prompt instruction telling the model not to invent information, on the grounds that prompt-level instructions are the fastest fix for hallucination concerns.
B. Apply a retrieval-augmented generation pattern to ground the responses in source content before any further investigation of the production traces.
C. Examine production traces to identify whether the issue is hallucination by the model, context loss, prompt injection, or another failure mode before recommending a fix.
D. Replace the current model with a larger one to reduce the chance of hallucination, on the grounds that larger models tend to hallucinate less in typical applications.

Question 3

Your Claude application's token costs have grown faster than expected. The team has not been tracking token usage by feature, so the team cannot identify which features are driving cost. The team is debating how to respond.
How would you respond?

A. Add token usage tracking by feature to the application's logging so the team can identify which features drive cost before recommending changes.
B. Tell the team that cost growth is unavoidable as the application scales and that no investigation will change the trajectory of the application's cost over the next several quarters.
C. Reduce token usage uniformly across all features by half, applying the cut evenly across the application during normal operation.
D. Switch every feature to the smallest model to cut cost broadly across the application during normal operation.

Question 4

A Claude application is occasionally refusing to answer questions that should be in scope, including questions the application has answered correctly in the past. You want to investigate.
What is the first step of your investigation?

A. Identify which questions have been refused and compare them against previously answered questions to determine what changed between the successful and refused interactions.
B. Test whether removing or adjusting those instructions resolves the behavior.
C. Assess whether the refusals cluster around specific input patterns, question types, or time periods by analyzing the distribution of refused requests in the logs.
D. Examine traces of the refused requests to identify what triggers the refusal, whether input patterns, system prompt content, or other context.

Question 5

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

Solutions: