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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering & Structured Output | 20% | - Advanced prompting techniques
|
| Topic 2: Context Management & Responsible AI | 15% | - Context window optimization
|
| Topic 3: Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
| Topic 4: Agentic Architecture & Orchestration | 27% | - Agent design patterns
|
| Topic 5: Claude Code Configuration & Workflows | 20% | - Configuration files and structure
|
Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:
1. An application frequently repeats the same background instructions in every API request. What is a potential downside?
A) Lower reliability.
B) Increased hallucinations only.
C) Reduced model capability.
D) Higher token usage and cost.
2. A chatbot frequently receives greetings, policy questions, and technical support requests. Which architecture improves maintainability?
A) Maximum temperature.
B) Disable retrieval.
C) Prompt routing based on request type.
D) One prompt for every scenario.
3. Anthropic's tool use documentation states: "Write instructive error messages. Instead of generic errors like 'failed', include what went wrong and what Claude should try next." A billing dispute agent uses lookup_order, which catches all exceptions and returns a tool_result with is_error:
true and the message "Tool execution failed". Monitoring shows two failure modes: the agent retries the identical call until hitting the turn limit, or it immediately calls escalate_to_human without trying alternative tools. Which change follows the documented recommendation and gives Claude the information it needs to select the correct recovery action for each error type?
A) Remove is_error: true and return the error details as normal tool content, so Claude reasons about the response as data rather than treating it as a flagged failure condition that biases retry behavior.
B) Implement retry logic with exponential backoff inside each tool implementation so transient errors are resolved transparently within the tool before any failure result is surfaced to Claude in the agentic loop.
C) Add an error classification step in the agentic loop that intercepts tool errors before Claude sees them, tags each as "retry," "try_alternative," or "escalate," and appends that recommendation to the tool result.
D) Return error-type-specific messages with is_error: true, e.g., "Order not found-try get_customer to search by phone" for data errors and "Database timeout (transient)-retry should succeed" for infrastructure errors.
4. A retail organization observes that Claude occasionally gives different wording when summarizing identical customer reviews. The summaries remain accurate. What is the MOST likely explanation?
A) Large language models are probabilistic.
B) Retrieval failed.
C) Claude is malfunctioning.
D) The API returned cached responses.
5. A customer raises three separate issues during one session: a refund inquiry (turns 1-15), a subscription question (turns 16-30), and a payment method update (turns 31-45). At turn 48, the customer asks "What happened with my refund?" The conversation is approaching context limits.
What strategy best maintains the agent's ability to address all issues throughout the session?
A) Rely on MCP tools to re-fetch relevant information on demand when the customer references earlier issues.
B) Extract and persist structured issue data (order IDs, amounts, statuses) into a separate context layer.
C) Implement sliding window context that retains the most recent 30 turns.
D) Summarize earlier turns into a narrative description, preserving full message history only for the active issue.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |

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