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Anthropic CCDV-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Selection and Optimization | 16.8% | - Performance and Cost Optimization
|
| Topic 2: Applications and Integration | 33.1% | - Claude API and Client SDKs
|
| Topic 3: Agents and Workflows | 14.7% | - Subagents and Agentic Frameworks
|
| Topic 4: Eval, Testing, and Debugging | 2.6% | - Evaluation
|
| Topic 5: Prompt and Context Engineering | 11% | - Context Engineering
|
| Topic 6: Claude Code | 3.1% | - Claude Code Configuration and Usage
|
| Topic 7: Security and Safety | 8.1% | - Safety and Guardrails
|
| Topic 8: Tools and MCPs | 10.6% | - Model Context Protocol
|
Anthropic Claude Certified Developer-Foundations Sample Questions:
Question 1
The team is debating whether to build a new capability as a custom tool or to use an existing built-in tool that nearly covers the use case but lacks one specific feature.
How would you decide?
A. Review the built-in tool's documentation and assess whether its existing capabilities are sufficient to cover the use case without any modification or extension.
B. Identify whether the team has previously built similar custom tools and use those precedents to determine which approach is more consistent with the existing codebase.
C. Examine the custom tool option by scoping the implementation effort and determining whether the additional flexibility justifies the development and maintenance cost.
D. Evaluate whether the missing feature can be addressed by extending the built-in tool or warrants a custom tool, then choose accordingly.
Question 2
Your Claude application returns confident-sounding answers, but occasionally those answers contain factual errors that downstream systems treat as ground truth. The team is concerned about the application's confidence-versus-accuracy gap.
How would you address the gap?
A. Apply skepticism toward confident output by adding validation steps, sourcing requirements, or confidence calibration before treating outputs as ground truth.
B. Reject every response the application produces until a manual accuracy review is conducted on each response by a human reviewer before any downstream system uses it.
C. Add a disclaimer to every output telling users to verify the accuracy of the output and treat the disclaimer as the primary mechanism for managing the confidence-versus-accuracy gap.
D. Lower the model's temperature so the model's responses sound less confident and downstream systems are less likely to treat the responses as ground truth in normal operation.
Question 3
Your Claude agent's hooks are currently triggered for every action, which slows down the agent significantly even when actions pose no risk. The team wants to scope hooks more carefully.
How would you scope the hooks?
A. Disable all hooks while the team re-scopes them, treating the period of no hook enforcement as a temporary state during the re-scoping work.
B. Scope hooks to only the high-risk actions, such as destructive operations or sensitive data access, and remove hooks from low-risk actions to balance safety with performance.
C. Disable the agent during peak hours so the hook overhead does not slow the application down during the busiest periods of the day across the application's operation.
D. Replace hooks with system prompt instructions on the grounds that prompt instructions can produce the same enforcement effect that hooks produce on the agent's actions.
Question 4
Your team is debating how to manage the prompts used in your Claude application. Some prompts are checked into the code repository, some live in a separate configuration file, and some are constructed inline at runtime. The result is inconsistent, and a recent prompt change went out without code review.
What steps would you take?
A. Move all prompts out of version control to a separate spreadsheet that team members can edit freely as the application evolves over time.
B. Establish a single source of truth for prompts, version-control them alongside code, and require code review for prompt changes.
C. Move all prompts to inline runtime construction so the team can update them quickly through a streamlined process outside the standard code review workflow.
D. Establish a single source of truth for prompts but keep change review optional, allowing developers to update prompts directly when changes are urgent.
Question 5
You are setting up a CI/CD pipeline for a new Claude application. The pipeline needs to run automated checks on every pull request before code can be merged.
The CI/CD checks would include...
A. Automated linting and security scanning, with Claude integration testing handled manually during pre- release verification by a designated reviewer.
B. Automated tests of the Claude integration, linting, and any other standard quality gates the team applies to its other services.
C. A full end-to-end production deployment on every pull request to catch all possible issues before any code is merged into the main branch.
D. Automated tests of the Claude integration only, with linting handled separately during local development on each developer's machine.
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: B |






