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Anthropic CCDV-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Claude Code | 3.1% | - Claude Code configuration and usage |
| Topic 2: Model Selection and Optimization | 16.8% | - Cost and token optimization - Latency and performance trade-offs - Claude model family characteristics |
| Topic 3: Evaluation, Testing, and Debugging | 2.6% | - Output evaluation and validation - Error handling and debugging |
| Topic 4: Security and Safety | 8.1% | - Guardrails and safety controls - AI application security |
| Topic 5: Prompt and Context Engineering | 11% | - Prompt design and structuring - Context window management - Structured output handling |
| Topic 6: Agents and Workflows | 14.7% | - Claude Agent SDK usage - Workflow vs autonomous agents - Memory and context management - Agent architecture principles |
| Topic 7: Tools and Model Context Protocol (MCP) | 10.6% | - Tool integration and usage - MCP server development |
| Topic 8: Applications and Integration | 33.1% | - Vision capabilities - SDK and third-party integration - Claude Messages API - Streaming and Batch API |
Anthropic Claude Certified Developer-Foundations Sample Questions:
Question 1
You are designing an agent that handles a multi-step research task. You want the agent to break the task into smaller pieces, hand each piece to a focused subagent, and consolidate the results.
The agent pattern you would apply is...
A. A memory pattern that stores the entire research history in advance, before any subtask begins execution.
B. An orchestrator and subagent pattern with specialized subagents assigned to each subtask.
C. A single tool-use loop that includes every tool the agent might need across all subtasks.
D. A context-window pruning pattern that drops each subtask's content after the agent moves on.
Question 2
A teammate is debugging a Claude application whose system prompt has grown to several hundred lines and now contains overlapping, contradictory, and obsolete instructions.
How would you advise the teammate?
A. Split the prompt across multiple system prompts so the model sees a smaller portion at any given time.
B. Tighten only the contradictory rules first, treating the overlap and obsolete content as lower-priority work the team can address later.
C. Add more explicit instructions so the most recent rules dominate the model's interpretation of the prompt during each request.
D. Audit the prompt for overlap, contradiction, and obsolete content, then refactor so each instruction is clear, current, and non-redundant.
Question 3
A teammate has asked you to explain why the team's Claude application is billed for output tokens at a different rate than input tokens. They had assumed the rate was the same for both.
How would you explain the difference?
A. Output tokens are typically billed at a higher rate than input tokens, and cost models for the application should reflect both rates separately.
B. Output tokens are typically billed at a lower rate than input tokens, because output tokens are cheaper to produce than input tokens are to process.
C. Output tokens are typically billed at the same rate as input tokens, and the apparent rate difference is a billing error to report to Anthropic.
D. Output tokens are not billed at all, because cost is determined entirely by the input tokens sent to the model on each request.
Question 4
A teammate has asked how the Claude SDK handles transient API errors, such as a temporary network issue or a brief rate-limit response. They want to know whether the application code needs to handle every transient error or whether the SDK provides any default behavior.
How would you describe the SDK's default behavior?
A. The SDK provides default retry behavior for many transient errors, and the application code can configure or extend that behavior as needed.
B. The SDK provides default retry behavior for network errors but surfaces rate-limit responses directly to the application code, which must implement its own retry logic for those cases.
C. The SDK provides default retry behavior for transient errors up to a fixed number of attempts, and this behavior is not configurable.
D. The SDK logs transient errors to a default error stream and continues execution without retrying, leaving the application code responsible for detecting and responding to failed calls.
Question 5
Your Claude agent performs database operations. A recent incident occurred where the agent ran a destructive query that affected production data. The team wants to add deterministic controls to prevent similar incidents.
How would you prevent similar incidents?
A. Add a system prompt instruction telling the agent to be careful with database operations on every request the application handles during normal operation across all incoming traffic.
B. Add Claude hooks that intercept database operations and apply deterministic checks, such as blocking destructive queries or requiring approval, before the queries execute.
C. Run the agent only during business hours when humans are available to monitor its activity, treating the schedule as the primary control mechanism for destructive operations.
D. Switch to a higher-capability Claude model on the grounds that a more capable model is less likely to run destructive queries during normal operation across all requests.
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: B |



