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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

Your enterprise has a contract with AWS that requires Claude API calls to flow through Amazon Bedrock rather than the direct Anthropic API. Your team is building a new Claude application and is unfamiliar with this constraint.
How would you build the application?

A. Build the application against the direct Anthropic API now and migrate to Bedrock in a follow-up release once the team has more experience with the Bedrock API.
B. Build the application against the direct Anthropic API and ignore the contractual requirement to route Claude calls through Amazon Bedrock.
C. Configure the application to invoke Claude through the Bedrock-compatible API path while keeping the application's logic provider-agnostic.
D. Build two parallel implementations of every call, one for the direct Anthropic API and one for Bedrock, and pick the faster one at runtime.

Question 2

Your Claude application makes high-volume API calls during business hours and very few calls overnight.
The team is concerned about staying within rate limits during peak hours and wants to understand how the Claude API enforces those limits.
How would you proceed?

A. Review the API documentation for streaming endpoints and evaluate whether migrating peak-hour calls to streaming reduces exposure to rate limit enforcement.
B. Assess the average payload size of current API calls and consolidate requests where possible to reduce the total number of calls made during peak hours.
C. Identify the rate limits, design the application to stay within them during peak hours, and use exponential backoff when limits are reached.
D. Examine the peak-hour request patterns in your application logs and smooth traffic by distributing requests more evenly across the business-hours window.

Question 3

You are designing a Claude application that processes user-submitted text. Some of that text could include sensitive information such as account numbers or passwords that the application should not send to Claude.
How would you design the application?

A. Apply filtering at the boundary for the most commonly observed sensitive data patterns and expand coverage to additional patterns based on findings from production monitoring.
B. Add a prompt instruction in the system prompt specifying the categories of sensitive information Claude should disregard when processing user-submitted text.
C. Define the application boundary explicitly, identify what content can leave the boundary for Claude, and add filtering or redaction at the boundary.
D. Log all user-submitted text before it is sent to Claude and review the logs periodically to identify whether sensitive information is reaching the model.

Question 4

A teammate has asked you to explain why your Claude agent's tools include detailed descriptions in the tool definition, even when the tool name is already descriptive. The teammate suggests removing the descriptions to simplify the tool definitions.
How would you respond?

A. Explain that the model uses the tool description to decide when to call the tool, and descriptions disambiguate cases where the tool name is not enough.
B. Agree with the teammate because tool names are sufficient for the model to choose the right tool on every request the agent handles.
C. Suggest moving the descriptions out of the tool definition and into a separate documentation file the team maintains so the tool definitions stay short and the descriptions remain available.
D. Suggest replacing the descriptions with example calls embedded in the tool definition, treating example calls as a complete substitute for the prose description.

Question 5

The product team has asked you to choose a Claude model for a new feature. The team has provided functional requirements but has not specified performance, cost, or quality targets. The team's product manager says, "Use whatever model gives us the best results." How would you respond?

A. Choose a mid-tier model and ship the feature, because mid-tier models work for most use cases without specified targets.
B. Run every Claude model on a representative sample and pick whichever scores best on a generic benchmark.
C. Choose the largest, highest-capability Claude model, on the grounds that "best results" is most likely to mean highest quality.
D. Ask the product team to specify quality, latency, and cost targets, then select the model whose tradeoffs best fit those targets.

Solutions: