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Anthropic CCDV-F Exam Syllabus Topics:

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

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You are building an agent that needs to call several internal APIs and a database in a structured, repeatable way. Your team has decided to use the Claude Agent SDK rather than build a custom loop. You are setting up the agent's tool definitions and execution loop.
How would you set up the tools and execution loop?

A. Use the SDK's tool interface and write the loop and history layer in the team's own code.
B. Call the Messages API directly and let the model format its tool calls in plain text.
C. Use the SDK's tool interface and let the SDK handle the loop, dispatch, and history.
D. Use the SDK's tool interface and loop, with conversation history stored in a separate team database.


Question 2

You have just shipped a new Claude-powered application to production. The development phase is complete, and the system is now in active use by internal teams.
The next phase of work for this system is...

A. Running a formal post-deployment review that assesses the development phase before the team does any further work on the system.
B. Handing the system over to a separate operations team that will manage it independently of the development team going forward.
C. Retiring the system, since shipping is the final lifecycle stage for any application that reaches production.
D. Operating and maintaining the system, including monitoring, responding to issues, and planning evolution.


Question 3

Your agent makes 10 to 15 tool calls per task, and you have noticed it sometimes loses track of earlier results by the time it reaches later steps. The agent's context window is large enough to hold all the messages, but the relevant information appears to get buried as the conversation grows.
How would you address this?

A. Apply a context-management pattern that summarizes or prunes older tool outputs while preserving the active task state.
B. Increase the context window further so all tool outputs from every prior step remain in full detail throughout the task.
C. Reduce the number of tool calls per task by combining several existing tools into larger, multi-purpose tools.
D. Switch to a different agentic framework that advertises automatic context-window management as a built-in feature.


Question 4

A teammate has asked how to extend Claude Code with a custom Skill that the team can invoke during sessions. The Skill consists of a set of instructions and a few support scripts the team wants Claude to be able to call when the Skill is loaded.
Where is the right place to define the Skill?

A. Define the Skill in a Skills directory recognized by Claude Code, where Claude can discover and load it during sessions for the team's repositories.
B. Define the Skill inside the application's source code as a regular library module and call it from the application code instead of from Claude Code.
C. Define the Skill as a long inline instruction at the top of every CLAUDE.md file in the team's repositories so Claude has access to it on every session.
D. Define the Skill in a personal scratch directory on each developer's machine and load it manually before each Claude Code session that needs it.


Question 5

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. Prompt caching, which speeds up the cost profile of future requests and does not affect the delivery timing of the first response.
B. Streaming responses, which deliver tokens incrementally as the model generates them so users see output progressively.
C. The Batch API, which delivers full responses after a delay suitable for non-interactive workloads.
D. Structured JSON output, which delivers responses only after the model has finalized the JSON shape across the entire response.


Solutions:

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

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