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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering & Structured Output	20%	- Instruction design 1. Deterministic output formatting (e.g., JSON) 2. Few-shot prompting strategies - Tool-augmented prompting 1. Tool-use driven reasoning patterns 2. Validation and retry loops
Agentic Architecture & Orchestration	27%	- Agentic loops & lifecycle design 1. Tool use loop execution (request → tool_use → result → next step) 2. Stop reason handling and control flow - Multi-agent orchestration 1. Coordinator / sub-agent patterns 2. Parallel task decomposition
Claude Code Configuration & Workflows	20%	- Claude Code configuration 1. Project-level vs user-level configuration 2. CLAUDE.md hierarchy and scoping - CI/CD and workflow integration 1. Automated pipeline integration 2. Command vs plan mode usage
Context Management & Reliability	15%	- System reliability 1. Error propagation handling 2. Escalation strategies (fail vs retry vs human) - Context window optimization 1. Managing long conversation degradation 2. "Lost in the middle" mitigation strategies
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool selection and routing strategies 2. MCP server integration patterns - Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q77-Q82):

NEW QUESTION # 77
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 expose executable functions that perform side-effects or mutations on external backend systems.
B. 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.
C. To provide reusable conversation templates consisting of predefined user and assistant messages for the agent.
D. To manage environment variables and authentication secrets safely across the development team.

Answer: B

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 # 78
A well-designed structured error response for an MCP tool should include which of the following standard fields? Choose 2 correct answers.

A. system_prompt_override
B. temperature_adjustment
C. isError
D. errorCategory

Answer: C,D

Explanation:
Structured error responses in MCP rely on standard fields like isError, errorCategory, isRetryable, and context to give the agent a clear path for recovery. They do not alter underlying model parameters like temperature or the system prompt.

NEW QUESTION # 79
When passing context between agents in a multi-agent orchestration, why is it highly recommended to use structured data formats?

A. To bypass the maximum token limit of the subagent's isolated context window.
B. To separate content from metadata (such as source URLs, document names, and page numbers) to preserve proper attribution.
C. To automatically trigger JSON schema validation by the Claude API.
D. To compress the token count of the prompt by 50% using the Message Batches API.

Answer: B

Explanation:
Using structured data formats to separate content from metadata (like source URLs, document names, and publication dates) when passing context between agents ensures that downstream synthesis agents preserve proper source attribution and information provenance.

NEW QUESTION # 80
A development team at quicktechie.com wants to enforce strict security standards specifically whenever a developer modifies infrastructure-as-code files. Which YAML frontmatter configuration correctly applies these rules to all Terraform files within the repository?

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

Answer: C

Explanation:
Path-specific rules in the .claude/rules/ directory use a YAML frontmatter 'paths' field containing glob patterns (e.g., paths: This ensures the rules load conditionally only when editing matching files.

NEW QUESTION # 81
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.
An engineer asks your agent to identify untested code paths in a legacy payment processing module spanning 45 files. After reading the first 8 source files, the agent's responses are becoming noticeably less accurate - it's forgetting previously discussed code patterns and hasn't yet located all test files or traced critical payment flows. What's the most effective approach to complete this investigation?

A. Switch to using Grep to search for specific function names instead of reading full files, reducing the content loaded into context for remaining exploration.
B. Spawn subagents to investigate specific questions (e.g., "find all test files for payment processing," "trace refund flow dependencies") while the main agent coordinates findings and preserves high-level understanding.
C. Document all current findings in a summary report, clear context completely, then use that report as the sole reference for continuing the investigation.
D. Clear context with /clear, then selectively re-read only the most critical files discovered so far, writing key findings to a scratchpad file that persists between context resets.

Answer: B

Explanation:
Subagents isolate detailed exploration in separate context windows and return concise findings to the main agent. This prevents further context degradation while preserving high-level coordination across test discovery and payment-flow tracing.

NEW QUESTION # 82
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