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Anthropic CCA-F Exam Syllabus Topics:

Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:

1. During testing, you find that when a customer says "I need a refund for my recent purchase," the agent calls process _refund immediately - but populates the required order_id parameter with a plausible-looking but fabricated value instead of first calling lookup_order to retrieve the actual order ID. The refund call fails because the fabricated ID doesn't exist. Which change directly addresses the root cause of the agent fabricating the order_id value?

A) Pre-parse incoming customer messages to extract any order IDs mentioned, and inject them into the conversation context before passing to Claude.
B) Update the process_refund tool description to explicitly state that order_id must be obtained from a prior lookup_order call and must never be assumed or invented.
C) Add server-side validation that checks whether the order_id exists in your database before executing the refund, returning an error to the agent if not found.
D) Switch tool_choice from "auto" to "any" to force the agent to make a tool call on every turn.

2. Which statement BEST describes Retrieval-Augmented Generation?

A) It compresses model weights.
B) It supplies relevant external knowledge during inference.
C) It permanently retrains Claude.
D) It changes token pricing.

3. After integrating a local MCP server providing code analysis tools (analyze_dependencies, find_dead_code, calculate _complexity), you verify the server is healthy and tools appear in the tools/list response. However, you observe that the agent consistently uses Grep to search for import statements instead of calling analyze_dependencies -even when users explicitly ask about "code dependencies." Examining tool definitions reveals:
MCP: analyze_ dependencies - "Analyzes dependency graph"
Built-in: Grep - "Search file contents for a pattern using regular
expressions. Returns matching lines with line numbers and surrounding
context."
What's the most effective approach to improve the agent's selection of MCP tools?

A) Remove Grep from available tools when the MCP server is connected to eliminate functional overlap.
B) Split analyze_dependencies into granular tools ( list_imports, resolve_transitive_deps, detect_circular_deps) so each has a focused purpose less likely to overlap with Grep.
C) Expand MCP tool descriptions to detail capabilities and outputs - e.g., "Builds dependency graph showing direct imports, transitive dependencies, and cycles."
D) Add routing instructions to the system prompt specifying that dependency-related questions should use MCP tools rather than Grep.

4. After the web search agent and document analysis agent complete their tasks, the coordinator invokes the synthesis agent. However, the synthesis agent responds that it cannot complete the task because no research findings were provided. What is the most likely cause of this issue?

A) The synthesis agent needs tools that can fetch results directly from the other agents' conversation histories.
B) The coordinator did not include the outputs from the previous agents in the synthesis agent's prompt.
C) The subagents need to share a single API connection to enable automatic context sharing between invocations.
D) The synthesis agent's context window is not large enough to hold the combined outputs from both previous agents.

5. An architect needs Claude to produce structured JSON that downstream software can parse automatically. Which prompting strategy is BEST?

A) Ask Claude to "respond normally."
B) Use multiple unrelated examples.
C) Increase maximum output tokens only.
D) Explicitly specify the required JSON schema and formatting rules.

Solutions: