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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Agentic Architecture & Orchestration	27%	- Multi-agent orchestration 1. Parallel task decomposition 2. Coordinator / sub-agent patterns - Agentic loops & lifecycle design 1. Tool use loop execution (request → tool_use → result → next step) 2. Stop reason handling and control flow
Prompt Engineering & Structured Output	20%	- Tool-augmented prompting 1. Tool-use driven reasoning patterns 2. Validation and retry loops - Instruction design 1. Few-shot prompting strategies 2. Deterministic output formatting (e.g., JSON)
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%	- Context window optimization 1. "Lost in the middle" mitigation strategies 2. Managing long conversation degradation - System reliability 1. Error propagation handling 2. Escalation strategies (fail vs retry vs human)
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP server integration patterns 2. Tool selection and routing strategies - 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 (Q20-Q25):

NEW QUESTION # 20
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.
Your codebase exploration tool stores session IDs to allow engineers to continue investigations across work sessions. An engineer spent an hour yesterday analyzing a legacy authentication module, building context about its architecture and dependencies. They want to continue today.
The session ID is valid, but version control shows 3 of the 12 files the agent previously read were modified overnight by a teammate's merge. What approach best balances efficiency and accuracy?

A. Start fresh session to ensure the agent works with current codebase state without stale assumptions
B. Resume the session and immediately have the agent re-read all 12 previously analyzed files
C. Resume the session without informing the agent about the changed files
D. Resume the session and inform the agent which specific files changed for targeted re-analysis

Answer: D

Explanation:
Resuming preserves the hour of accumulated architectural context, while re-reading the three modified files refreshes stale information without redundantly analyzing all 12 files. This balances efficiency with codebase accuracy.

NEW QUESTION # 21
An MCP tool processes financial refunds. A policy violation occurs because the requested amount exceeds the user's maximum allowed limit. What is the most architecturally sound way the tool should respond?

A. Return structured error metadata with isError: true, a human-readable context description of the policy violation, and isRetryable: false.
B. Throw a fatal system exception to halt execution.
C. Return an empty response payload so the agent can seamlessly try a different tool.
D. Return a generic "Operation failed" string to avoid leaking internal policy limits.

Answer: A

Explanation:
Business logic and policy errors require structured error context including isError: true, an explanation of the violation, and isRetryable: false. This allows the agent to communicate the appropriate denial reason to the user rather than blindly guessing or uselessly retrying.

NEW QUESTION # 22
When designing an independent code review instance to evaluate generated code at quicktechie.com, which specific context must be omitted to ensure an objective review?

A. The underlying JSON schemas of the affected components.
B. The reasoning context and conversation history from the generation session.
C. The project's CLAUDE .md standards configuration.
D. The list of available MCP tools.

Answer: B

Explanation:
An independent review instance must lack the prior reasoning context and conversation history of the generator. Supplying a fresh context prevents the reviewer from adopting the same flawed assumptions or confirmation bias that led to any generated bugs.

NEW QUESTION # 23
Why is providing more than 6 examples in a few-shot prompt generally considered an anti-pattern?

A. It disables the model's ability to use the tool_use block.
B. It bloats the prompt context window without adding proportional benefit.
C. It causes the model to ignore system prompts.
D. It forces the Claude API to throw a schema validation error.

Answer: B

Explanation:
Providing too many examples (more than 4-6) wastes valuable context window tokens and bloats the prompt without offering a proportional increase in output quality or instruction adherence.

NEW QUESTION # 24
A engineer is creating a reusable custom Skill in . claude/skills/refactor/SKILL.md. The skill requires an isolated context window to avoid polluting the main session with exploration noise, and must be restricted to only reading files (no modifications). Which frontmatter configurations are required? Choose 2 correct answers.

A. isolation: true
B. context: fork
C. permissions: read-only
D. allowed-tools: Read, Grep, Glob

Answer: B,D

Explanation:
To run a skill in an isolated sub-agent context, the 'context: fork' frontmatter option is required. To restrict tool access (e.g., to prevent file modification), the 'allowed-tools' metadata field must be used to explicitly list permitted tools like Read, Grep, and Glob.

NEW QUESTION # 25
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