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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

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 2

You are implementing a custom tool for your Claude agent. The tool needs to interact with an external pricing service that returns product data.
Which of the following best practices would you apply as you develop this tool?

A. Define the tool with a clear schema, write a precise description for when to call it, and handle pricing service errors explicitly.
B. Implement the tool with no error handling and let the agent loop catch failures whenever the pricing service returns an error during operation.
C. Omit the tool description and let the model infer when to use the tool based on the tool's name and the rest of the prompt context.
D. Define the tool with a loose schema and let the model interpret the inputs flexibly on each call the agent makes.

Question 3

A teammate has asked how to extend Claude Code with a custom Skill that the team can invoke during sessions. The Skill consists of a set of instructions and a few support scripts the team wants Claude to be able to call when the Skill is loaded.
Where is the right place to define the Skill?

A. Define the Skill inside the application's source code as a regular library module and call it from the application code instead of from Claude Code.
B. Define the Skill as a long inline instruction at the top of every CLAUDE.md file in the team's repositories so Claude has access to it on every session.
C. Define the Skill in a personal scratch directory on each developer's machine and load it manually before each Claude Code session that needs it.
D. Define the Skill in a Skills directory recognized by Claude Code, where Claude can discover and load it during sessions for the team's repositories.

Question 4

You are building a Claude application that processes 10,000 customer emails overnight to extract structured data. The work is non-interactive, runs once daily, and has a flexible completion window of several hours.
Which Claude API would you use?

A. The streaming responses API to process each email and return partial results to a database as the model generates them.
B. The real-time Messages API, processing the emails one at a time sequentially to ensure consistent ordering of results.
C. The real-time Messages API with concurrent requests to process the emails as fast as possible during the overnight window.
D. The Batch API, which is designed for non-interactive workloads with flexible completion windows.

Question 5

You are explaining to a stakeholder why running the same Claude prompt twice can produce slightly different results. The stakeholder is concerned this means the application is broken.
How would you address the stakeholder's concern?

A. Tell the stakeholder the variation is caused by Claude being updated continuously by Anthropic, and that switching to a fixed model snapshot will eliminate the variation entirely.
B. Tell the stakeholder the variation comes from network latency and that switching to a faster network connection will produce more consistent results across runs.
C. Explain that LLMs are non-deterministic by default due to sampling, and describe how the application handles this through validation, retries, or temperature adjustment.
D. Tell the stakeholder the variation is a bug that the team will fix in the next release of the application, then create a work ticket to fix the bug.

Solutions: