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Anthropic CCDV-F : Claude Certified Developer-Foundations

CCDV-F

Exam Code: CCDV-F

Exam Name: Claude Certified Developer-Foundations

Updated: Aug 30, 2026

Q & A: 97 Questions and Answers

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Anthropic CCDV-F Exam Syllabus Topics:

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

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

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


Question 2

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. Use multi-shot prompting by including the labeled examples in the prompt so Claude can match the desired output format on each request.
B. 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.
C. Use zero-shot prompting and rely on the model's general capability to produce the desired output format consistently across all incoming requests.
D. Embed the examples in a database and retrieve them at runtime as reference material for the team.


Question 3

You are extending a Claude agent with a capability that needs to be reusable across multiple teams in the organization, with each team able to invoke and use it independently.
How would you build the capability?

A. As a shared library that each team imports into its own Claude application code, with each team responsible for keeping the library up to date in its integration.
B. As a custom tool embedded in this team's agent only, with other teams able to copy the implementation into their own agents when they need the capability.
C. As a wrapper around an existing built-in tool that adds the missing functionality, on the grounds that built-in tools cover the reuse pattern when extended carefully.
D. As a Skill or MCP server because both are purpose-built for cross-team reuse independently by each consuming team.


Question 4

Your agent is processing tasks that take 30 to 60 minutes to complete. Each task has well-defined intermediate checkpoints, and the team wants the agent to be able to resume from the most recent checkpoint if a process is interrupted.
How would you implement this resumability?

A. Run two copies of the agent in parallel for every task and use whichever one finishes first as the source of truth.
B. Restart the task from the beginning whenever a process is interrupted.
C. Increase the agent's timeout to several hours so that interruptions become rare enough to ignore in practice.
D. Apply a checkpointing pattern that persists the agent's intermediate state and reloads that state when resuming an interrupted task.


Question 5

A teammate is reviewing the team's threat model for a Claude application and has asked you to identify the categories of AI-specific threats that the model should cover. The teammate has already listed traditional web application threats and wants to know what additional categories apply to a Claude application.
Which AI-specific threat categories would you add?

A. Network-level denial of service and physical infrastructure attacks, because these categories cover the threats most likely to affect any Claude application in production.
B. Prompt injection, data leakage from prompts or context, jailbreak attempts, and unsafe model output that bypasses application controls.
C. Cross-site scripting and SQL injection, because these traditional web application threats apply with equal weight to any application that uses Claude in any way.
D. Supply chain attacks on the Claude SDK because the SDK itself is the only point of vulnerability that a Claude application introduces beyond traditional web application threats.


Solutions:

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

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CCDV-F - Claude Certified Developer-Foundations
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