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Anthropic CCDV-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Claude Code | 3.1% | - Claude Code configuration and usage |
| Tools and Model Context Protocol (MCP) | 10.6% | - MCP server development - Tool integration and usage |
| Applications and Integration | 33.1% | - Claude Messages API - Streaming and Batch API - Vision capabilities - SDK and third-party integration |
| Evaluation, Testing, and Debugging | 2.6% | - Output evaluation and validation - Error handling and debugging |
| Model Selection and Optimization | 16.8% | - Claude model family characteristics - Latency and performance trade-offs - Cost and token optimization |
| Prompt and Context Engineering | 11% | - Prompt design and structuring - Structured output handling - Context window management |
| Security and Safety | 8.1% | - Guardrails and safety controls - AI application security |
| Agents and Workflows | 14.7% | - Workflow vs autonomous agents - Agent architecture principles - Memory and context management - Claude Agent SDK usage |
Anthropic Claude Certified Developer-Foundations Sample Questions:
You are running Claude Code as part of an automated continuous integration pipeline. The pipeline needs Claude Code to execute a set of well-defined tasks without prompting for confirmation, and the output needs to be captured for downstream processing.
How would you configure the pipeline?
- A. Run Claude Code in headless mode with the required permissions configured in settings.json and capture its output for downstream processing.
- B. Run Claude Code in interactive mode and have a developer manually approve every confirmation prompt while the pipeline executes its tasks.
- C. Disable Claude Code's confirmation prompts globally across all environments so the pipeline runs without interruption from any prompt.
- D. Replace Claude Code with a different tool that does not require any configuration to operate without confirmation prompts in the pipeline.
Correct Answer: A 🗳️
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A teammate is debugging a Claude application whose system prompt has grown to several hundred lines and now contains overlapping, contradictory, and obsolete instructions.
How would you advise the teammate?
- A. Add more explicit instructions so the most recent rules dominate the model's interpretation of the prompt during each request.
- B. Audit the prompt for overlap, contradiction, and obsolete content, then refactor so each instruction is clear, current, and non-redundant.
- C. Split the prompt across multiple system prompts so the model sees a smaller portion at any given time.
- D. Tighten only the contradictory rules first, treating the overlap and obsolete content as lower-priority work the team can address later.
Correct Answer: B 🗳️
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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. The settings.json file, scoped at the project level so the configuration applies consistently across developers and persists with the repository.
- C. Environment variables that each developer sets on their own machine when working with Claude Code on the project.
- D. A shared spreadsheet that lists configuration values for team members to reference and update by hand as the project evolves.
Correct Answer: B 🗳️
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You are building a Claude application that needs to deliver model output to end users as it is generated, instead of waiting for the full response to complete.
The Claude API mechanism you would use is...
- A. The Batch API, which delivers full responses after a delay suitable for non-interactive workloads.
- B. Prompt caching, which speeds up the cost profile of future requests and does not affect the delivery timing of the first response.
- C. Streaming responses, which deliver tokens incrementally as the model generates them so users see output progressively.
- D. Structured JSON output, which delivers responses only after the model has finalized the JSON shape across the entire response.
Correct Answer: C 🗳️
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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 two parallel implementations of every call, one for the direct Anthropic API and one for Bedrock, and pick the faster one at runtime.
- B. 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.
- C. Build the application against the direct Anthropic API and ignore the contractual requirement to route Claude calls through Amazon Bedrock.
- D. Configure the application to invoke Claude through the Bedrock-compatible API path while keeping the application's logic provider-agnostic.
Correct Answer: D 🗳️
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