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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You are designing an agent that handles a multi-step research task. You want the agent to break the task into smaller pieces, hand each piece to a focused subagent, and consolidate the results.
The agent pattern you would apply is...

A. A memory pattern that stores the entire research history in advance, before any subtask begins execution.
B. An orchestrator and subagent pattern with specialized subagents assigned to each subtask.
C. A context-window pruning pattern that drops each subtask's content after the agent moves on.
D. A single tool-use loop that includes every tool the agent might need across all subtasks.

Question 2

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. Reduce token usage uniformly across all features by half, applying the cut evenly across the application during normal operation.
C. 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.
D. Switch every feature to the smallest model to cut cost broadly across the application during normal operation.

Question 3

You are starting a new Claude application and have a small set of well-labeled examples that demonstrate the desired output format. You want to use these examples to guide Claude's behavior.
How would you guide the application's behavior?

A. Use zero-shot prompting and rely on the model's general capability to produce the desired output format consistently across all incoming requests.
B. Train a custom model on the labeled examples before deployment so that the application does not need to include the examples in any prompt during operation.
C. Use multi-shot prompting by including the labeled examples in the prompt so Claude can match the desired output format on each request.
D. Embed the examples in a database and retrieve them at runtime as reference material for the team.

Question 4

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

Question 5

You are configuring Claude Code for a new project. The team needs to set permissions, default model selections, and environment-specific behavior at the project level so the configuration is consistent across all developers working on the repository.
The Claude Code mechanism you would use is...

A. A system prompt embedded in every Claude Code conversation by each developer at the start of every session in the project.
B. Environment variables that each developer sets on their own machine when working with Claude Code on the project.
C. The settings.json file, scoped at the project level so the configuration applies consistently across developers and persists with the repository.
D. A shared spreadsheet that lists configuration values for team members to reference and update by hand as the project evolves.

Solutions: