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Anthropic CCDV-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agents and Workflows | 14.7% | - Claude Agent SDK usage - Workflow vs autonomous agents - Agent architecture principles - Memory and context management |
| Topic 2: Security and Safety | 8.1% | - Guardrails and safety controls - AI application security |
| Topic 3: Evaluation, Testing, and Debugging | 2.6% | - Output evaluation and validation - Error handling and debugging |
| Topic 4: Prompt and Context Engineering | 11% | - Context window management - Structured output handling - Prompt design and structuring |
| Topic 5: Applications and Integration | 33.1% | - Claude Messages API - Streaming and Batch API - SDK and third-party integration - Vision capabilities |
| Topic 6: Tools and Model Context Protocol (MCP) | 10.6% | - MCP server development - Tool integration and usage |
| Topic 7: Claude Code | 3.1% | - Claude Code configuration and usage |
| Topic 8: Model Selection and Optimization | 16.8% | - Latency and performance trade-offs - Claude model family characteristics - Cost and token optimization |
Anthropic Claude Certified Developer-Foundations Sample Questions:
Question 1
Your team's Claude application has been in production for a year, and the team has decided to formalize its testing strategy. Currently, the team writes ad-hoc tests for individual features but has no overall testing approach.
What testing approach would you formalize?
A. Define unit tests for individual functions, integration tests for the Claude integration, and end-to-end tests for critical user flows, applied consistently across the codebase.
B. Continue writing ad-hoc tests as features ship and introduce a peer review step to ensure each test adequately covers the feature being released.
C. Define a single testing approach that uses end-to-end tests and apply it consistently across all new features as they are added to the codebase.
D. Adopt a test-driven development practice where unit tests are written before each feature is implemented and must pass before code is merged.
Question 2
Your Claude application makes high-volume API calls during business hours and very few calls overnight.
The team is concerned about staying within rate limits during peak hours and wants to understand how the Claude API enforces those limits.
How would you proceed?
A. Assess the average payload size of current API calls and consolidate requests where possible to reduce the total number of calls made during peak hours.
B. Examine the peak-hour request patterns in your application logs and smooth traffic by distributing requests more evenly across the business-hours window.
C. Review the API documentation for streaming endpoints and evaluate whether migrating peak-hour calls to streaming reduces exposure to rate limit enforcement.
D. Identify the rate limits, design the application to stay within them during peak hours, and use exponential backoff when limits are reached.
Question 3
You are designing a Claude application that helps medical researchers analyze multi-step clinical case studies.
The application must work through differential diagnoses by considering symptom patterns, weighing evidence across competing hypotheses, and showing intermediate reasoning steps before producing a final recommendation. The team is choosing among Claude's available model options.
The model option best suited to this use case is...
A. Zero-shot prompting alone with no model option adjustments, which keeps the application's configuration as simple as possible.
B. Extended thinking, which lets the model reason through the differential diagnosis steps before producing the final recommendation.
C. Fast mode, which prioritizes the lowest possible latency at the expense of reasoning depth on complex tasks.
D. A smaller model with a tighter context window, which encourages the model to focus its limited capacity on the task.
Question 4
You are writing a system prompt for a Claude application that needs to produce output in a specific JSON shape. The downstream system will reject any output that does not match the schema.
Your prompt would need to...
A. Instruct Claude to return JSON sometimes and free text other times so the application's output captures both formats.
B. Instruct Claude to use whichever output format it considers most appropriate for each request the application handles.
C. Include explicit constraints describing the required JSON schema and an instruction to produce only output matching that schema.
D. Omit any reference to the format and rely on a post-processing step in the application to reshape Claude's output.
Question 5
You are designing a Claude application that will require structured JSON output for downstream processing.
The output schema is well-defined, and downstream systems will reject malformed JSON.
A. Structure the prompt to request output in a schema that is described in plain English, with downstream systems parsing whatever shape Claude produces.
B. Avoid structured output and use free-form text everywhere instead, on the grounds that free-form text is more flexible and handles edge cases better than structured schemas.
C. Define a clear schema and structure the prompt to request output in that schema, with downstream systems handling any validation needed.
D. Define a clear schema, structure the prompt to request output in that schema, and validate Claude's output against the schema before passing it downstream.
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: D |






