Anthropic Claude Certified Architect CCA-F

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

1. You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
After adding an MCP server with specialized code refactoring tools (extract_function, rename_variable, inline_function), You notice the agent still uses basic text manipulation via Write and Bash sed commands for refactoring tasks. The MCP server is connected and healthy.
Examining the configuration, you find each MCP tool has a minimal description like
"extract_function: Extracts a function from code."
What's the most effective way to improve adoption of the MCP refactoring tools?

A) Implement a request classifier that detects refactoring intent and automatically routes those requests to the MCP server before the agent processes them.
B) Remove the Write tool from the agent's configuration for refactoring sessions so it must use the MCP tools for code modifications.
C) Accept this as expected behavior since simpler tools like sed are more predictable than specialized refactoring tools.
D) Enhance the MCP tool descriptions to explain when each tool is preferable to text manipulation and clarify expected inputs and outputs.

2. You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
A user is expanding the research system beyond its single web search agent by adding specialized data sources. They add a financial API agent that returns structured JSON with revenue, margins, and growth rates; a news monitoring agent that returns prose summaries of recent developments; and a patent analysis agent that returns structured lists of technology areas. The synthesis agent combines these into executive briefings. Currently, it converts everything to bullet points, causing financial comparisons to lose tabular clarity and news summaries to lose narrative flow. What change would most improve briefing quality?

A) Add a format conversion layer between subagents and synthesis that transforms all outputs to a common intermediate representation
B) Standardize all subagent outputs to prose summaries with inline citations
C) Standardize all subagent outputs to JSON with fields for claim, evidence, source, and confidence
D) Update the synthesis agent to render each content type appropriately - financial data as tables, news as prose

3. Your MCP server implements a check_availability tool that queries an external calendar API.
During testing, you encounter three error conditions: (1) the tool is called with a malformed request missing the required user_email parameter, (2) the calendar API returns a 404 because the specified user doesn't exist in the calendar system, and (3) the calendar API returns a 503 because the service is temporarily unavailable. How should each error be reported according to MCP's error handling design?

A) Report errors 1 and 2 as JSON-RPC protocol errors; report error 3 as a tool result with isError:
true.
B) Report error 1 as a JSON-RPC protocol error; report errors 2 and 3 as tool results with isError:
true.
C) Report all three as JSON-RPC protocol errors.
D) Report all three as tool results with isError: true.

4. The agent verifies customer identity through a multi-step process before resetting passwords.
During testing, you notice that after the customer answers the third verification question, the agent asks them to provide their name again, as if the earlier exchange never happened. What's the most likely cause of this behavior?

A) Claude's memory retention is limited to two conversational turns by default, requiring explicit configuration to extend it.
B) The conversation history isn't being passed in subsequent API requests.
C) The verification tool is clearing the agent's internal state after each successful validation step.
D) The prompt lacks instructions telling Claude to remember information across multiple exchanges.

5. An application frequently repeats the same background instructions in every API request. What is a potential downside?

A) Lower reliability.
B) Reduced model capability.
C) Increased hallucinations only.
D) Higher token usage and cost.

Solutions: