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Anthropic CCDV-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Agents and Workflows | 14.7% | - Agent Architecture and Tradeoffs
|
| Eval, Testing, and Debugging | 2.6% | - Evaluation
|
| Claude Code | 3.1% | - Claude Code Configuration and Usage
|
| Model Selection and Optimization | 16.8% | - Performance and Cost Optimization
|
| Applications and Integration | 33.1% | - Application Development and Integration
|
| Security and Safety | 8.1% | - Safety and Guardrails
|
| Prompt and Context Engineering | 11% | - Context Engineering
|
| Tools and MCPs | 10.6% | - Model Context Protocol
|
Anthropic Claude Certified Developer-Foundations Sample Questions:
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. Train a custom model on the edge-case examples and deploy that custom model in place of the team's current Claude integration.
- B. Embed the examples in a database for the model to find during inference.
- C. Add the labeled edge-case examples to the prompt as few-shot examples so the model can learn the pattern.
- D. Tell users to avoid submitting the edge-case inputs to the application by adding warnings in the application's user interface.
Correct Answer: C 🗳️
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Your Claude application is hitting context window limits when processing long customer service transcripts.
A junior developer suggests increasing the temperature parameter to fix the issue.
How would you respond?
- A. Remove the system prompt entirely to make room for longer transcripts in each request, freeing up context window space the system prompt would otherwise consume.
- B. Adjust the temperature parameter together with the max_tokens parameter, treating the combined adjustment as the team's mechanism for managing context window pressure during long-transcript processing.
- C. Increase the temperature parameter as the junior developer suggested and observe whether the context window issue resolves over the next several runs of the application in production.
- D. Explain that temperature controls sampling randomness and is unrelated to context capacity, then address the context issue through summarization or chunking.
Correct Answer: D 🗳️
Your Claude application has multi-step workflows where each step's output is needed only briefly before the agent moves on. The cumulative tool output is filling the context window with content that is no longer relevant.
How would you handle the accumulating tool output?
- A. Switch to a smaller Claude model that processes context more efficiently and treat any quality loss as a tradeoff for the cost reduction.
- B. Apply prompt caching to the accumulated tool outputs so the application does not re-pay for the older content on each subsequent step.
- C. Keep every tool output in the context indefinitely so the agent has the full record of every step it has executed during the workflow.
- D. Apply tool output pruning to remove tool outputs that are no longer needed by later steps in the workflow.
Correct Answer: D 🗳️
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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. Add a prompt instruction in the system prompt specifying the categories of sensitive information Claude should disregard when processing user-submitted text.
- B. 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.
- 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. Define the application boundary explicitly, identify what content can leave the boundary for Claude, and add filtering or redaction at the boundary.
Correct Answer: D 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
A new agent your team built handles customer support tickets, but it routinely gets confused when a single ticket spans billing, shipping, and product issues. The agent often loses track of which sub-issue it has already addressed and revisits the same one. The team is considering architectural changes.
What architectural change would you recommend?
- A. Switch to a deterministic workflow that handles billing, shipping, and product issues in a fixed sequence.
- B. Increase the size of the agent's context window so it can hold the full ticket history at once.
- C. Introduce an orchestrator agent that delegates billing, shipping, and product sub-issues to dedicated subagents.
- D. Add detailed prompting that instructs the agent to track which sub-issues have been resolved and which remain.
Correct Answer: C 🗳️
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