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Anthropic CCDV-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt and Context Engineering | 11% | - Context Engineering
|
| Topic 2: Model Selection and Optimization | 16.8% | - Model Selection
|
| Topic 3: Applications and Integration | 33.1% | - Application Development and Integration
|
| Topic 4: Tools and MCPs | 10.6% | - Tool Development and Integration
|
| Topic 5: Eval, Testing, and Debugging | 2.6% | - Testing and Debugging
|
| Topic 6: Claude Code | 3.1% | - Claude Code Configuration and Usage
|
| Topic 7: Agents and Workflows | 14.7% | - Claude Agent SDK and Agent Loops
|
| Topic 8: Security and Safety | 8.1% | - Safety and Guardrails
|
Anthropic Claude Certified Developer-Foundations Sample Questions:
Question 1
The product team has asked you to choose a Claude model for a new feature. The team has provided functional requirements but has not specified performance, cost, or quality targets. The team's product manager says, "Use whatever model gives us the best results." How would you respond?
A. Choose the largest, highest-capability Claude model, on the grounds that "best results" is most likely to mean highest quality.
B. Ask the product team to specify quality, latency, and cost targets, then select the model whose tradeoffs best fit those targets.
C. Choose a mid-tier model and ship the feature, because mid-tier models work for most use cases without specified targets.
D. Run every Claude model on a representative sample and pick whichever scores best on a generic benchmark.
Question 2
You are choosing between using STDIO-based communication and HTTP-based communication for an MCP server. The server will be invoked by a Claude Code session running locally.
Which communication pattern would you use?
A. STDIO and HTTP simultaneously for redundancy, with the team running two communication patterns at the same time across Claude Code sessions.
B. HTTP on the grounds that HTTP is preferable to STDIO in any context the application might encounter during normal operation.
C. HTTP polling against the MCP server, treating HTTP as a substitute for the standard MCP communication patterns.
D. STDIO because STDIO is well-suited to local process communication and avoids unnecessary network setup.
Question 3
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. The settings.json file, scoped at the project level so the configuration applies consistently across developers and persists with the repository.
B. A system prompt embedded in every Claude Code conversation by each developer at the start of every session in the project.
C. A shared spreadsheet that lists configuration values for team members to reference and update by hand as the project evolves.
D. Environment variables that each developer sets on their own machine when working with Claude Code on the project.
Question 4
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. Embed the examples in a database and retrieve them at runtime as reference material for the team.
B. Use zero-shot prompting and rely on the model's general capability to produce the desired output format consistently across all incoming requests.
C. 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.
D. Use multi-shot prompting by including the labeled examples in the prompt so Claude can match the desired output format on each request.
Question 5
Your Claude application has been running for several conversation turns, and you notice the model occasionally references information that was discussed many turns ago but is no longer relevant. You suspect context drift is causing the model to weight stale content too heavily.
How would you address the drift?
A. Truncate the conversation so the model sees only the most recent turn during each subsequent response.
B. Apply compaction to summarize older portions of the conversation so the gist remains while the specifics carry less weight.
C. Increase the context window size so all turns of the conversation remain visible to the model in full detail.
D. Reset the conversation after every turn so the model loses all prior turns when generating a response.
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: B |






