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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup - Tool definition and best practices 1. Tool descriptions and selection logic 2. Error handling and validation
Topic 2: Prompt Engineering & Structured Output	20%	- Advanced prompting techniques 1. Few-shot and chain-of-thought prompting 2. System prompts and role framing - Structured data generation 1. JSON schema enforcement 2. Output validation and reliability
Topic 3: Agentic Architecture & Orchestration	27%	- Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow - Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling
Topic 4: Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Pipeline automation and review 2. Plan mode vs direct execution - Configuration files and structure 1. CLAUDE.md and rules system 2. Custom commands and workflows
Topic 5: Context Management & Responsible AI	15%	- Safety and compliance 1. Refusal handling and risk mitigation 2. Constitutional AI principles - Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q105-Q110):

NEW QUESTION # 105
When implementing path-specific rules for conditional convention loading in Claude Code, which of the following statements accurately describe the architecture? Choose 2 correct answers.

A. Path-specific rule files must be stored exclusively in the user-level ~/. claude/rules/ directory to prevent team-wide conflicts.
B. Path-specific rules automatically execute a PreToolUse hook to format files before they are loaded into context.
C. Path-specific rules are defined using YAML frontmatter with a paths array containing glob patterns.
D. They are ideal for applying coding conventions to file types (like **/*. test. tsx) that are distributed across many different subdirectories.

Answer: C,D

Explanation:
Path-specific rules utilize YAML frontmatter 'paths' arrays with glob patterns (A) and are the recommended approach for applying conventions to files spread across the codebase by type (C). They are typically stored in project-level .claude/rules/, not just user-level, and they do not natively execute hooks.

NEW QUESTION # 106
A subagent attempts to query an external database but encounters a timeout. How should this error be propagated back to the coordinator agent?

A. The subagent should silently return an empty JSON array to allow the workflow to proceed smoothly.
B. Return a generic 'Operation failed' string to prevent leaking infrastructure details.
C. Throw a fatal exception to immediately terminate the entire research workflow.
D. Return structured error context, including the failure type (access failure), what was attempted, and partial results.

Answer: D

Explanation:
Structured error propagation is critical. Returning structured error context allows the coordinator to distinguish between an 'access failure' (could not check) and an 'empty result' (checked and found nothing) and make an intelligent recovery decision. Silently returning empty results for failures is a catastrophic anti-pattern.

NEW QUESTION # 107
During a tool execution step, your agent's lookup_customer tool fails to connect to the external database due to a timeout. What is the architecturally correct way to handle this error and propagate it back to Claude?

A. Return a structured error response with isError: true, specify the error category (e.g., timeout), indicate if it is retryable, and provide context about what was attempted.
B. Return a generic string like { "error" : " Operation failed" } to prevent leaking internal database infrastructure details to the LLM.
C. Silently return an empty JSON array [J so the agent can smoothly transition to trying an alternative lookup method.
D. Throw a fatal system exception to immediately terminate the agentic loop and trigger a fallback to a human operator.

Answer: A

Explanation:
Access failures (e.g., timeouts, database down) must be explicitly distinguished from empty results (e.g., checked database, found zero matches). Returning a structured error with isError, errorCategory, and isRetryable gives the agent the context it needs to make an intelligent recovery decision. Returning an empty array for an access failure is a catastrophic anti-pattern.

NEW QUESTION # 108
To guarantee that a specific data extraction tool is invoked by Claude during a workflow without the agent attempting conversational workarounds, which configuration must be applied?

A. allowedTools: ["SPECIFIC_TOOL NAME"}
B. tool_choice: {"type": "tool", "name": "SPECIFIC_TOOL NAME"}
C. tool choice: "auto"
D. tool_choice: "any"

Answer: B

Explanation:
Forcing a specific tool with tool_choice: {"type": "tool", "name": "..."} ensures a particular tool runs, which guarantees schema compliance for strict extraction tasks. "any" forces the model to pick a tool, but lets it decide which one. "auto" lets the model decide if it wants to use a tool at all.

NEW QUESTION # 109
To systematically analyze why developers dismiss certain automated code review findings in a quicktechie.com application, which architectural pattern should be implemented?

A. Use the Message Batches API to delay findings until end-of-week review.
B. Run a separate classifier model to predict which findings will be ignored.
C. Execute a multi-pass review on every pull request to ensure consensus.
D. Add a detected_pattern field to the structured findings to track and aggregate dismissal reasons.

Answer: D

Explanation:
Feedback loop design requires tracking which code constructs trigger specific findings. By including a 'detected_pattern' field in the extraction or review output, teams can systematically analyze pattern clusters when developers dismiss findings, identifying systematic false positives.

NEW QUESTION # 110
......

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