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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

Your Claude agent performs database operations. A recent incident occurred where the agent ran a destructive query that affected production data. The team wants to add deterministic controls to prevent similar incidents.
How would you prevent similar incidents?

A. Switch to a higher-capability Claude model on the grounds that a more capable model is less likely to run destructive queries during normal operation across all requests.
B. Add Claude hooks that intercept database operations and apply deterministic checks, such as blocking destructive queries or requiring approval, before the queries execute.
C. Add a system prompt instruction telling the agent to be careful with database operations on every request the application handles during normal operation across all incoming traffic.
D. Run the agent only during business hours when humans are available to monitor its activity, treating the schedule as the primary control mechanism for destructive operations.

Question 2

You are designing an agent that handles a complex claim-processing workflow. Each claim moves through fact extraction, eligibility evaluation, and a decision step. The three subtasks have distinct success criteria, and some claims require iteration between fact extraction and eligibility evaluation before a decision can be reached.
Which agent pattern would you apply?

A. A graph-based pattern that lets the agent move between subtasks based on the state of each claim, with each subtask evaluated against its own criteria.
B. A single tool-use loop pattern that gives one agent access to all the tools needed for fact extraction, eligibility evaluation, and decision-making.
C. A linear chain pattern that processes every claim through fact extraction, then eligibility evaluation, then decision, with no return paths between subtasks.
D. A streaming pattern that emits partial decisions as the agent processes each claim, refining the output until a final decision emerges from the stream.

Question 3

Your Claude application produces good responses for typical inputs but struggles with edge cases. You have several labeled examples of edge-case inputs and the desired response for each. You want to use these examples to improve the model's handling of edge cases.
What is the best way to use these examples?

A. Embed the examples in a database for the model to find during inference.
B. Add the labeled edge-case examples to the prompt as few-shot examples so the model can learn the pattern.
C. Tell users to avoid submitting the edge-case inputs to the application by adding warnings in the application's user interface.
D. Train a custom model on the edge-case examples and deploy that custom model in place of the team's current Claude integration.

Question 4

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. A single tool-use loop that includes every tool the agent might need across all subtasks.
C. A context-window pruning pattern that drops each subtask's content after the agent moves on.
D. An orchestrator and subagent pattern with specialized subagents assigned to each subtask.

Question 5

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. 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.
B. Define the application boundary explicitly, identify what content can leave the boundary for Claude, and add filtering or redaction at the boundary.
C. 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.
D. Add a prompt instruction in the system prompt specifying the categories of sensitive information Claude should disregard when processing user-submitted text.

Solutions: