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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Plan mode vs direct execution 2. Pipeline automation and review - Configuration files and structure 1. Custom commands and workflows 2. CLAUDE.md and rules system
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%	- Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling - Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow
Topic 4: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP server and client setup 2. Tools, resources, and prompts integration - Tool definition and best practices 1. Error handling and validation 2. Tool descriptions and selection logic
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 (Q96-Q101):

NEW QUESTION # 96
In a hub-and-spoke multi-agent architecture, what is the best practice for passing context from the coordinator agent down to a specialized subagent?

A. Grant the subagent access to a shared global state object where the coordinator writes its findings.
B. Share the entire coordinator conversation history to ensure the subagent has maximum context.
C. Pass only the explicit context, findings, and parameters specifically relevant to that subagent's assigned subtask.
D. Subagents automatically inherit the coordinator's full context window, so no explicit passing is needed.

Answer: C

Explanation:
Subagents do not automatically inherit parent context. Context isolation is a core principle in multi-agent orchestration. A subagent should only be passed explicit, relevant context specific to its task. Sharing the full coordinator history wastes tokens, causes context pollution, and degrades subagent performance.

NEW QUESTION # 97
Which statement BEST describes Retrieval-Augmented Generation?

A. It changes token pricing.
B. It permanently retrains Claude.
C. It supplies relevant external knowledge during inference.
D. It compresses model weights.

Answer: C

Explanation:
RAG retrieves relevant documents at inference time and includes them within the prompt. The model itself is unchanged, allowing organizations to incorporate current enterprise knowledge without retraining foundation models.

NEW QUESTION # 98
Which of the following scenarios represent architecturally appropriate use cases for implementing hooks in a production Claude application? Choose 2 correct answers.

A. Intercepting tool calls to deterministically block policy-violating actions before they execute.
B. Normalizing tool outputs, such as date formats or status codes, before they are appended to the context window.
C. Ensuring Claude maintains a conversational and friendly tone with customers.
D. Guaranteeing that an extracted JSON object has no semantic reasoning errors.

Answer: A,B

Explanation:
Hooks are designed for programmatic, deterministic intervention during the tool lifecycle. Valid uses include PostToolUse hooks for normalizing data and PreToolUse hooks for blocking policy-violating actions. Hooks do not guarantee semantic accuracy and are not used for soft preferences like conversational tone, which are better handled via prompts.

NEW QUESTION # 99
Which of the following are recommended architectural practices for preserving information provenance and handling uncertainty in a multi-agent system at quicktechie.com? Choose 2 correct answers.

A. Requiring subagents to output structured claim-source mappings (including source URLs, document names, and excerpts) that downstream agents must preserve.
B. Silently dropping contested findings to ensure the final synthesis report appears highly confident.
C. Omitting publication dates from the metadata to save valuable token space in the coordinator's context window.
D. Structuring reports with explicit sections that distinguish well-established findings from contested ones, preserving the original methodological context.

Answer: A,D

Explanation:
Recommended practices for information provenance include requiring structured claim-source mappings that pass through to the final output, and structuring reports to explicitly distinguish well-established findings from contested ones. Dropping contested findings or omitting temporal metadata are anti-patterns that destroy critical context.

NEW QUESTION # 100
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. Return an empty response payload so the agent can seamlessly try a different tool.
C. Throw a fatal system exception to halt execution.
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 # 101
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