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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

Question 1

Your process_refund tool returns two types of errors: technical errors ("503 Service Unavailable",
"Connection timeout") that are transient (5% of calls), and business errors ("Order exceeds
30 day return window", "Item already refunded") that are permanent (12% of calls). Monitoring shows the agent wastes 3-4 turns retrying business errors that can never succeed. Currently, both error types return only a plain text message to Claude. What's the most effective way to reduce wasted retries while improving customer-facing response quality?

A. Return structured error responses with retriable: false for business errors and a customer-friendly explanation for Claude to use.
B. Implement automatic retry logic at the tool level for technical errors only, passing business errors to Claude without retries.
C. Add a check_refund_eligibility tool that must be called before process_refund to prevent business rule violations.
D. Add few-shot examples showing how to distinguish retriable from non-retriable errors by parsing error message text.

Question 2

Production logs reveal inconsistent error handling: when lookup_order fails, the agent sometimes retries 5+ times (wasteful when the order ID doesn't exist), sometimes escalates immediately (premature for temporary network issues), and sometimes asks users for clarification (inappropriate when the issue is a backend permission error). Investigation shows your MCP tool returns uniform error responses: {"isError": true, "content": [{"type": "text", "text": "Operation failed"}]}. The agent cannot distinguish between error types. What's the most effective improvement?

A. Enhance error responses with structured metadata: include errorCategory (transient/validation/permission), isRetryable boolean, and a description of what caused the failure.
B. Add few-shot examples to the system prompt demonstrating how to interpret error message patterns and select appropriate responses for each.
C. Create an analyze_error MCP tool the agent calls after any failure to determine the error category and recommended action.
D. Implement retry logic with exponential backoff in your MCP server for all errors, returning to the agent only after retries are exhausted.

Question 3

Which practice MOST improves prompt maintainability?

A. One paragraph containing all instructions.
B. Clearly separated sections with headings.
C. Random ordering.
D. Minimal punctuation.

Question 4

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. Summarize earlier turns into a narrative description, preserving full message history only for the active issue.
B. Rely on MCP tools to re-fetch relevant information on demand when the customer references earlier issues.
C. Extract and persist structured issue data (order IDs, amounts, statuses) into a separate context layer.
D. Implement sliding window context that retains the most recent 30 turns.

Question 5

A prompt asks Claude to produce Markdown tables. Which addition MOST increases consistency?

A. Remove formatting instructions.
B. Omit examples.
C. Specify exact column names.
D. Increase randomness.

Solutions: