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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Context Management & Reliability	15%	- Long-context optimization 1. Context window management 2. Reliability and retry strategies
Topic 2: 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. Task decomposition strategies 2. Hub-and-spoke agent systems
Topic 3: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool schema design 2. MCP client/server integration patterns
Topic 4: Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Schema-guided outputs 2. Prompt patterns for agents
Topic 5: 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 (Q87-Q92):

NEW QUESTION # 87
A developer wants to create a reusable behavior for performing extensive, multi-step codebase refactoring. The behavior needs to explore the codebase without polluting the main conversation's context window. Which extension mechanism should be used?

A. A skill defined in a SKILL.md file with context: fork in its frontmatter.
B. A custom command in . claude/commands/.
C. A PostToolUse hook running a background Bash script.
D. A project-scoped CLAUDE .md configuration file.

Answer: A

Explanation:
Skills are designed for complex, multi-step behaviors. By adding 'context: fork' to the SKILL.md frontmatter, the skill runs in an isolated sub-agent context, ensuring that its verbose exploration and intermediate steps do not pollute the main session's context window. Custom commands run directly in the main context.

NEW QUESTION # 88
When designing JSON schemas and interfaces for an agent's tools, which of the following practices represent recommended tool design principles? Choose 2 correct answers.

A. Combining all related backend API endpoints into a single monolithic tool to simplify the allowedTools array.
B. Expanding tool descriptions to explicitly document what happens with empty inputs or invalid boundary data.
C. Splitting a generic document analysis tool into distinct, purpose-built extract_data and verify _ claim tools.
D. Keeping tool descriptions under 10 words to minimize context window token consumption.

Answer: B,C

Explanation:
Recommended tool design principles include providing highly detailed descriptions (including edge cases and empty input handling) and splitting generic or monolithic tools into specialized, purpose-specific tools with clear input/output contracts. Minimal descriptions and monolithic tools severely degrade the LLM's ability to select and configure tools reliably.

NEW QUESTION # 89
When extracting financial summaries from unstructured documents, how can you design a self-correction validation flow directly within the extraction process?

A. Increase the max_tokens limit to give the model more space to reason about the math.
B. Extract a calculated_total alongside the stated_total to programmatically flag discrepancies.
C. Provide few-shot examples of flawless mathematical calculations.
D. Execute the extraction inside a PreToolUse hook.

Answer: B

Explanation:
Designing self-correction validation flows involves structuring the schema to extract cross-check values (like extracting a calculated total alongside a stated total). This allows downstream business logic to easily flag discrepancies and trigger a targeted retry loop.

NEW QUESTION # 90
When implementing a Model Context Protocol (MCP) server, what is the primary architectural purpose of defining an MCP Resource instead of an MCP Tool?

A. To provide reusable conversation templates consisting of predefined user and assistant messages for the agent.
B. To expose executable functions that perform side-effects or mutations on external backend systems.
C. To manage environment variables and authentication secrets safely across the development team.
D. To expose data catalogs or static content that can be fetched by the client and injected directly into prompts without requiring the agent to formulate a tool call.

Answer: D

Explanation:
MCP Resources are used to expose data (like documents, schemas, or issue summaries) that clients can read and inject directly into prompts, bypassing the need for exploratory tool calls. Tools are for taking actions, and Prompts are for reusable conversation templates.

NEW QUESTION # 91
When designing an extraction system for documents with highly varied structures (e.g., inline citations versus bibliographies), what is the most effective prompt engineering technique to achieve consistent output?

A. Rely exclusively on a strict JSON schema and avoid providing any examples to prevent overfitting.
B. Implement a PreToolUse hook to normalize the document structure before it reaches the context window.
C. Use dynamic adaptive decomposition to spawn a subagent for each distinct document type.
D. Provide few-shot examples demonstrating correct extraction from documents with varied formats.

Answer: D

Explanation:
Few-shot examples are highly effective for demonstrating correct handling of varied document structures, such as inline citations versus bibliographies or narrative descriptions versus structured tables.

NEW QUESTION # 92
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