2026 CCA-F Test Online 100% Pass | Latest CCA-F: Claude Certified Architect Foundations (CCA-F) 100% Pass

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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Context Management & Reliability	15%	- Long-context optimization 1. Context window management 2. Reliability and retry strategies
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP client/server integration patterns 2. Tool schema design
Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Schema-guided outputs 2. Prompt patterns for agents
Claude Code Workflows & Configuration	20%	- Claude Code operational patterns 1. CI/CD and workflow integration 2. Plan mode vs execution mode
Agentic Architecture & Orchestration	27%	- System orchestration patterns 1. Task decomposition strategies 2. Hub-and-spoke agent systems - Agentic loop design and execution lifecycle 1. Multi-agent coordination and delegation patterns 2. Tool use decision flow (tool_use vs end_turn)

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q33-Q38):

NEW QUESTION # 33
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. Rely on automatic context inheritance, as subagents inherently share the coordinator's memory.
B. Pass only the explicit context, findings, and parameters specifically relevant to that subagent's assigned subtask.
C. Grant the subagent access to a shared global state object where the coordinator writes its findings.
D. Share the entire coordinator conversation history to ensure the subagent has maximum context visibility.

Answer: B

Explanation:
Context isolation is a core principle of multi-agent orchestration. Subagents do not automatically inherit parent context and should not receive the full conversation history, as this causes context pollution and wastes tokens. They should only be passed explicit, relevant context specific to their task.

NEW QUESTION # 34
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
You're implementing a new payment processing module that must follow your project's established patterns for database transactions, error handling, and audit logging. You've identified three existing modules that exemplify these patterns: db_utils.py, error_handlers.py, and audit_logger.py. This is a one-off integration task - these patterns are well-documented in your team wiki and don't need additional project-level documentation. What's the most effective approach?

A. Ask Claude to explore your codebase to find and understand the transaction, error handling, and logging patterns before generating the new module.
B. Add documentation of each pattern to your CLAUDE.md file, establishing them as project conventions that Claude will apply automatically.
C. Describe the patterns from the three modules in natural language in your prompt, explaining the transaction handling approach, error format, and logging conventions Claude should follow.
D. Use @ references to include the three modules directly in your prompt, giving Claude concrete code examples of the patterns to follow.

Answer: D

Explanation:
This is a one-off task, so directly attaching the relevant files gives Claude concrete, authoritative examples without permanently expanding CLAUDE.md. Claude Code supports @ references specifically for bringing files or directories into the current task's context.

NEW QUESTION # 35
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
Your team frequently migrates React components to Vue. You've written a step-by-step workflow for Claude Code to follow during each migration, and you want every developer on the team to invoke it by typing /migrate-component. The workflow should stay in sync as the team iterates on it. Where should you place the skill file?

A. In ~/.claude/skills/migrate-component/SKILL.md on each developer's machine
B. In .claude/skills/migrate-component/SKILL.md at the project root, committed to version control
C. As a detailed instruction block in the project's root CLAUDE.md file
D. In the project's.claude/settings.json using a skillOverrides entry to register and define the workflow

Answer: B

Explanation:
A project-scoped skill is available to everyone working in that repository and stays synchronized through version control. The skill directory name exposes it as /migrate-component.

NEW QUESTION # 36
In an automated CI/CD code review workflow, why is it considered an architectural anti-pattern to have the same Claude session that generated the code also review its own changes?

A. Tools invoked in the first pass are permanently locked and cannot be reused in the second pass.
B. The reviewer retains the reasoning context from the generation phase, creating confirmation bias.
C. It causes the token limit of the context window to exceed maximum capacity.
D. The Message Batches API does not support synchronous self-review workflows.

Answer: B

Explanation:
Same-session self-review is ineffective because the model retains its original reasoning context and assumptions in the conversation history, creating a blind spot or confirmation bias. Using an independent review instance with fresh context evaluates the code objectively.

NEW QUESTION # 37
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. Use dynamic adaptive decomposition to spawn a subagent for each distinct document type.
C. Provide few-shot examples demonstrating correct extraction from documents with varied formats.
D. Implement a PreToolUse hook to normalize the document structure before it reaches the context window.

Answer: C

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 # 38
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