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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Workflows & Configuration	20%	- Claude Code operational patterns 1. CI/CD and workflow integration 2. Plan mode vs execution mode
Topic 2: Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Schema-guided outputs 2. Prompt patterns for agents
Topic 3: Agentic Architecture & Orchestration	27%	- Agentic loop design and execution lifecycle 1. Tool use decision flow (tool_use vs end_turn) 2. Multi-agent coordination and delegation patterns - System orchestration patterns 1. Hub-and-spoke agent systems 2. Task decomposition strategies
Topic 4: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool schema design 2. MCP client/server integration patterns
Topic 5: Context Management & Reliability	15%	- Long-context optimization 1. Reliability and retry strategies 2. Context window management

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Real Claude Certified Architect Foundations (CCA-F) Test Questions - CCA-F Actual Torrent & Claude Certified Architect Foundations (CCA-F) Pdf Questions

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q100-Q105):

NEW QUESTION # 100
How should an architect design crash recovery for a multi-agent exploration system at quicktechie.com?

A. Rely entirely on the 4. claude .json file to store conversational memory.
B. Parse natural language checkpoints directly from the assistant's unstructured text responses.
C. Automatically trigger a /clear command to gracefully reset the environment.
D. Use structured agent state exports (manifests) that the coordinator loads on resume and injects into agent prompts.

Answer: D

Explanation:
Designing crash recovery requires persistent, structured state. Best practice dictates that each agent exports its state to a known location as a manifest, which the coordinator can then load and inject upon resumption to seamlessly recover the session state.

NEW QUESTION # 101
While configuring prompt engineering standards for a production application, you must decide when to implement few-shot examples. Which of the following scenarios represent the most effective use cases for few-shot prompting? Choose 2 correct answers.

A. Simple, well-defined data extraction tasks with clear objective criteria.
B. Tasks requiring standard output formats like valid JSON, where tool_use is already implemented.
C. Ambiguous classification tasks where the boundaries between categories are fuzzy or subjective.
D. Tasks requiring a custom, non-standard output format that Claude does not handle natively.

Answer: C,D

Explanation:
Few-shot prompting is most valuable when the task has ambiguous boundaries (like detecting sarcasm) or requires custom output formats that aren't standard. It is generally unnecessary for simple, well-defined tasks or standard formats like JSON which are better handled natively or via tool_use.

NEW QUESTION # 102
In an automated code review workflow, why is it considered a major architectural anti-pattern to have the same Claude session both generate code and subsequently review its own generated changes?

A. Tools invoked during the first pass are permanently locked and cannot be reused in the review pass.
B. It exceeds the maximum token limits for the context window during the generation phase.
C. The Message Batches API does not support multi-turn tool calling within a single request.
D. The reviewer retains the reasoning context and assumptions from the generation phase, creating confirmation bias.

Answer: D

Explanation:
Same-session self-review is an anti-pattern because the model retains the context and reasoning from the generation phase, leading to a blind spot or confirmation bias. Independent review instances with fresh contexts are much more effective at objectively catching subtle issues.

NEW QUESTION # 103
Your control_device tool manages smart home devices through external APIs. When a device doesn't respond within the timeout period, the tool returns an error. Production logs show that the agent simply tells users "the device is not responding" without offering helpful next steps. Which error response structure would best enable the agent to provide useful follow-up?

A. Set is_error: true with a message explaining the likely cause and suggesting troubleshooting steps the agent can offer the user.
B. Set is_error: true with a structured technical error containing the device ID, timeout duration, and raw API response code for debugging purposes.
C. Set is_error: true with a brief "Device offline" message and provide a separate tool the agent can call to retrieve context-specific troubleshooting suggestions.
D. Set is_error: false with an optimistic message indicating the command was dispatched successfully but device acknowledgment is still pending.

Answer: A

NEW QUESTION # 104
A developer at quicktechie.com is building a highly experimental MCP server testing a new vector database. They want to use it locally in Claude Code without exposing the configuration to the rest of the team. Which configuration file should they use?

A. .claude/rules/mcp.md
B. mcp_local.config
C. .mcp.json at the project root
D. ~/.claude.json

Answer: D

Explanation:
Personal, experimental, or user-specific MCP configurations should be placed in the user-scoped -/.claude.json file, preventing them from being shared with the team via the project repository's .mcp.json.

NEW QUESTION # 105
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