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Anthropic CCA-F Exam Syllabus Topics:

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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which configuration ensures Claude will strictly invoke a specific data extraction tool rather than returning conversational text?

A. Option A
B. Option B
C. Option C
D. Option D

Answer: C

Explanation:
Forcing a specific tool with tool_choice: {"type": "tool", "name": "..."} ensures a particular tool runs, which guarantees schema compliance for strict extraction tasks. The 'any' setting forces the model to use a tool, but allows it to choose which one.

NEW QUESTION # 28
When authoring a complex skill, relying on a massive 2000-line SKILL. md file wastes context window tokens. Which of the following describe the recommended "progressive disclosure" architectural pattern? Choose 2 correct answers.

A. Keep the SKILL .md file under 500 lines and link to supporting reference files that Claude reads only when needed.
B. Configure an automatic /compact command to execute every 10 turns within the skill definition.
C. Store executable validation code in a scripts/ directory and instruct Claude to run them rather than read their contents.
D. Use the fork_session command explicitly on line 1 of the markdown to split the file structure.

Answer: A,C

Explanation:
Progressive disclosure in skill architecture involves keeping the main SKILL.md file small (under 500 lines) and linking to supporting files (in directories like references/ and scripts!) that Claude reads or executes only when relevant. Instructing Claude to run scripts rather than read them prevents the script's raw source code from consuming context tokens.

NEW QUESTION # 29
The agent attempts to call a lookup_order tool, but the backend database is down due to a timeout. What structured error response should the tool return to the agent?

A. An empty JSON array [J so the agent can smoothly transition to an alternative tool.
B. A generic string " Operation failed"} to avoid leaking infrastructure details to the LLM.
C. {"error : " A fatal exception that immediately terminates the agentic loop.
D. A structured object containing isError: true, an error category of 'timeout', isRetryab1e: true, and context of what was attempted.

Answer: D

Explanation:
Silently returning an empty array for an access failure is a catastrophic anti-pattern that makes the agent think the data doesn't exist. Returning structured error metadata (isError, errorCategory, isRetryable, context) allows the agent to make intelligent recovery or escalation decisions.

NEW QUESTION # 30
After 30+ turns, your conversational assistant shows noticeably slower responses and occasionally produces less coherent outputs. Investigation reveals: (1) average conversations reach 50,000 tokens by turn 35, (2) production logs show 94% of user messages only reference the previous 3-5 exchanges, (3) the 6% of queries referencing earlier context typically ask about information the user could easily re-state. Your goal is to improve response speed and quality while maintaining good user experience. What's the most effective approach?

A. Build a retrieval system that stores all conversation turns and uses semantic search to pull in relevant historical context only when the current query appears to reference past information.
B. Enable prompt caching and continue sending the complete conversation history, using cached prefixes to reduce per-request costs while preserving all context.
C. Implement a summarization layer that progressively compresses older conversation turns into a running summary while keeping the most recent 5-6 turns verbatim, maintaining full historical context in condensed form.
D. Implement a sliding window keeping only the system prompt and last 8-10 turns. When users reference earlier context, acknowledge the limitation and ask them to re-state the relevant information.

Answer: C

Explanation:
Progressively summarizing older conversation turns condenses historical context while keeping recent interactions verbatim, reducing token load and maintaining coherence. This approach balances response speed, memory efficiency, and user experience by preserving essential context without requiring users to repeatedly provide information.

NEW QUESTION # 31
An architect is designing an MCP tool that occasionally fails due to downstream rate limits. Which fields should be included in a well- designed structured error response to help the agent recover? Choose 2 correct answers.

A. isRetryable: true
B. temperature _ adjustment
C. isError: true
D. system_prompt_override

Answer: A,C

Explanation:
A structured error response should explicitly signal a failure using the 'isError' flag and indicate if the agent should attempt the call again using the 'isRetryable' boolean. It should also include the error category and context. System prompt overrides and temperature adjustments are not part of standard tool error metadata.

NEW QUESTION # 32
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