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Anthropic CCDV-F Exam Overview:

Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

Your Claude application processes 50-page legal contracts and produces summaries with citation references back to the source. The team is debating whether to send each contract whole or split it into smaller pieces.
The contracts fit within Claude's context window. Initial testing shows that whole-document processing produces summaries with stronger cross-section reasoning but occasionally drifts on citation accuracy in later sections. Chunked processing produces stronger citation accuracy per chunk but loses cross-section reasoning.
The team has not decided which property matters more.
How would you guide the team's decision?

A. Examine the use cases where cross-section reasoning failures occur and assess whether whole- document processing meets the application's accuracy requirements across a representative sample of contracts.
B. Identify which property matters more for the application's actual use case and let that decision drive the chunking approach, then validate the choice against representative contracts.
C. Review the citation accuracy results from chunked processing and determine whether the loss of cross- section reasoning produces summaries that still meet the application's quality bar.
D. Assess the cost and latency implications of both approaches against the application's performance requirements before recommending which processing strategy to adopt.

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 loose schema and let the model interpret the inputs flexibly on each call the agent makes.
B. Define the tool with a clear schema, write a precise description for when to call it, and handle pricing service errors explicitly.
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. Implement the tool with no error handling and let the agent loop catch failures whenever the pricing service returns an error during operation.

Question 3

You are designing a Claude application that will require structured JSON output for downstream processing.
The output schema is well-defined, and downstream systems will reject malformed JSON.

A. Define a clear schema and structure the prompt to request output in that schema, with downstream systems handling any validation needed.
B. Structure the prompt to request output in a schema that is described in plain English, with downstream systems parsing whatever shape Claude produces.
C. Avoid structured output and use free-form text everywhere instead, on the grounds that free-form text is more flexible and handles edge cases better than structured schemas.
D. Define a clear schema, structure the prompt to request output in that schema, and validate Claude's output against the schema before passing it downstream.

Question 4

Your Claude application's error handling currently logs every API error with the same severity level. The team wants to differentiate between errors that should page an on-call engineer and errors that should be logged for later review. How would you structure the error handling?

A. Page on every error, on the grounds that paging guarantees that no error is missed by the team during normal operation across the application's lifecycle.
B. Categorize errors by severity based on impact and recoverability, then route each category to the appropriate channel for paging or logging.
C. Disable logging for any error that does not page, treating non-paging errors as not worth recording for later review either.
D. Log every error with the same severity, on the grounds that differentiating severity adds complexity that does not pay off in most application setups over time.

Question 5

You are building an MCP server that exposes several internal data sources as MCP resources. The server needs to be deployed so multiple Claude applications can integrate with it.
How would you approach the build and deployment?

A. Bypass the MCP server and embed each data source directly in every Claude application that needs the data, with each application maintaining its own integration.
B. Author the server with clearly defined resources, tools, and prompts, choose a communication pattern, and deploy to an accessible hosting environment.
C. Build the MCP server with resource and tool definitions scoped to the first Claude application that needs it, and extend the definitions to additional applications as each integration is requested.
D. Deploy the MCP server only on individual developer machines, with the Claude applications unable to reach the server outside each developer's machine.

Solutions: