Anthropic CCDV-F : Claude Certified Developer-Foundations

  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • Updated: Aug 30, 2026     Q & A: 97 Questions and Answers

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Following are some reference material for actual Anthropic CCDV-F exam test

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Anthropic CCDV-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prompt and Context Engineering11%- Prompt Engineering
- Context Management and Long-Context Techniques
- Context Engineering
Topic 2: Eval, Testing, and Debugging2.6%- Evaluation, Testing, and Debugging
Topic 3: Claude Code3.1%- Claude Code Configuration and Extensibility
Topic 4: Model Selection and Optimization16.8%- Model Capabilities and Trade-offs
- Model Selection
- Cost and Latency Optimization
- Performance Optimization
Topic 5: Security and Safety8.1%- Secure Tool Use and Guardrails
- Application Security
- Prompt Injection and Untrusted Content
- Safety and Responsible Development
Topic 6: Tools and MCPs10.6%- Tool Use and Tool Schemas
- Building Custom Tools and MCP Servers
- Model Context Protocol
Topic 7: Applications and Integration33.1%- Message Batches and Prompt Caching
- Streaming, Error Handling and Reliability
- Multimodal and Structured Outputs
- Software Engineering Fundamentals
- Claude API and Client SDKs
- API Integration and Application Development
Topic 8: Agents and Workflows14.7%- Agent Architecture
- Agent Patterns and Frameworks
- Agent Construction with Claude

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You maintain a Claude application that uses Claude Sonnet 4.5 across several production workflows.
Anthropic released Claude Sonnet 4.7, which your evaluation suite shows performing 8% better on your highest-volume task. However, this version produces different output formatting on two of your structured- extraction prompts that downstream consumers parse with regex-based code.
To roll out the upgrade, you would...

A. Rewrite the downstream parsing code to accept a wider range of output formats to ensure the application is resilient to future model upgrades without requiring prompt changes.
B. Keep the older model in production to preserve the fragile parsing layer that may risk breaking with any model change.
C. Adjust the prompts to constrain output format, re-run evaluations against the expected parsing-layer schema, then roll the model out with a feature flag and the option to revert per workflow.
D. Switch the model identifier in the application's configuration to the new model, then monitor production for parsing failures to be fixed as failures surface.


Question 2

You are establishing the guardrail strategy for a Claude application. The team wants to ensure guardrail failure does not expose the application to unsafe behavior.
The guardrail strategy would...

A. Implement a single comprehensive system prompt guardrail and validate its coverage against the application's full range of expected inputs.
B. Layer multiple guardrails so a single guardrail failure does not expose the application to unsafe behavior.
C. Apply guardrails at the model level only and rely on the model's built-in safety behaviors to handle any cases the guardrail does not explicitly cover.
D. Apply guardrails at the application output level only and route flagged responses to a human reviewer before they are delivered to the user.


Question 3

A teammate has asked you to explain when a Skill would be the right choice over an MCP server. The teammate is unsure how the two differ in practice when both can be reused across teams.
How would you explain the distinction?

A. A Skill is the older mechanism and an MCP server is the newer one, so the team should prefer an MCP server for any reusable capability that the team builds going forward.
B. A Skill is preferable for cross-team reuse because it loads more efficiently than an MCP server during normal operation in the team's typical multi-team workloads.
C. A Skill bundles prompts, scripts, and data into a package the model loads as a unit while an MCP server exposes resources, tools, and prompts through a standard client interface.
D. A Skill and an MCP server are equivalent extension mechanisms that the team can use interchangeably for any reusable capability that needs to be accessible across teams.


Question 4

A teammate has asked you to explain why your Claude agent's tools include detailed descriptions in the tool definition, even when the tool name is already descriptive. The teammate suggests removing the descriptions to simplify the tool definitions.
How would you respond?

A. Explain that the model uses the tool description to decide when to call the tool, and descriptions disambiguate cases where the tool name is not enough.
B. Agree with the teammate because tool names are sufficient for the model to choose the right tool on every request the agent handles.
C. Suggest moving the descriptions out of the tool definition and into a separate documentation file the team maintains so the tool definitions stay short and the descriptions remain available.
D. Suggest replacing the descriptions with example calls embedded in the tool definition, treating example calls as a complete substitute for the prose description.


Question 5

You are implementing a custom tool for your Claude agent. The tool needs to interact with an external pricing service that returns product data.
Which of the following best practices would you apply as you develop this tool?

A. Define the tool with a clear schema, write a precise description for when to call it, and handle pricing service errors explicitly.
B. Omit the tool description and let the model infer when to use the tool based on the tool's name and the rest of the prompt context.
C. Define the tool with a loose schema and let the model interpret the inputs flexibly on each call the agent makes.
D. Implement the tool with no error handling and let the agent loop catch failures whenever the pricing service returns an error during operation.


Solutions:

Question 1
Answer: C
Question 2
Answer: B
Question 3
Answer: C
Question 4
Answer: A
Question 5
Answer: A

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