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Häufig gestellte Fragen zur Anthropic Claude Certified Developer-Foundations

Anthropic Claude Certified Developer-Foundations CCDV-F Prüfungsfragen mit Lösungen

Frage #1

You are writing a system prompt for a Claude application that needs to produce output in a specific JSON shape. The downstream system will reject any output that does not match the schema.
Your prompt would need to...

A. Instruct Claude to use whichever output format it considers most appropriate for each request the application handles.
B. Instruct Claude to return JSON sometimes and free text other times so the application's output captures both formats.
C. Include explicit constraints describing the required JSON schema and an instruction to produce only output matching that schema.
D. Omit any reference to the format and rely on a post-processing step in the application to reshape Claude's output.

Frage #2

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 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.
B. Restructure the tool set by consolidating overlapping tools, removing unused tools, and clarifying tool descriptions so each tool has a distinct purpose.
C. 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.
D. Remove all tools and rely on the agent's general capability instead, with the application losing the workflows that previously relied on tools.

Frage #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.

Frage #4

The product team has described a new Claude feature in business terms: "agents should help our analysts produce client memos faster." You need to convert this into actionable technical requirements for the engineering team.
Your first step would be to...

A. Examine what model capabilities and tier options are available and determine which best supports the memo drafting workflow described by the product team.
B. Assess what similar agent-based features have been built internally or in the industry and use those precedents to scope the technical approach.
C. Ask the analysts about the current memo production process to see where they think Claude could be introduced as a prompt-driven drafting step.
D. Interpret the functional and infrastructure requirements implied by the business goal.

Frage #5

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. Evaluate whether the missing feature can be addressed by extending the built-in tool or warrants a custom tool, then choose accordingly.
D. 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.

Fragen und Antworten: