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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Session state and context handling 2. Task spawning and tool management - Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow
Topic 2: Prompt Engineering & Structured Output	20%	- Structured data generation 1. Output validation and reliability 2. JSON schema enforcement - Advanced prompting techniques 1. Few-shot and chain-of-thought prompting 2. System prompts and role framing
Topic 3: Context Management & Responsible AI	15%	- Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization - Safety and compliance 1. Refusal handling and risk mitigation 2. Constitutional AI principles
Topic 4: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup - Tool definition and best practices 1. Error handling and validation 2. Tool descriptions and selection logic
Topic 5: Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Pipeline automation and review 2. Plan mode vs direct execution - Configuration files and structure 1. CLAUDE.md and rules system 2. Custom commands and workflows

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q40-Q45):

NEW QUESTION # 40
According to architectural best practices, which of the following characteristics describe tasks that necessitate the use of Plan Mode over Direct Execution? Choose 2 correct answers.

A. Tasks involving large-scale changes and multi-file modifications.
B. Tasks requiring architectural decisions and evaluation of multiple valid approaches.
C. Tasks involving a single-file bug fix with a clear stack trace.
D. Tasks involving minor style updates or typo corrections in documentation.

Answer: A,B

Explanation:
Plan mode is specifically designed for complex tasks that involve multiple valid approaches, architectural decisions, and multi-file modifications. Simple, well-scoped fixes should use direct execution.

NEW QUESTION # 41
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 the agent to understand how the caching layer works before adding a new cache invalidation trigger. After initial Grep searches, the agent has identified that caching logic spans 15 files including decorators, middleware, and service classes (~8,000 lines total). What's the most effective next step for building understanding while managing context constraints?

A. Use the Read tool to sequentially load all 15 files, building complete understanding across the full caching implementation.
B. Use Grep to search for "invalidate" and "expire" patterns across all files, then Read only those specific line ranges with minimal surrounding context.
C. Use Glob to find files matching common caching patterns (cache.py, caching/), prioritize the largest files by reading them first, then check smaller files for gaps.
D. Analyze imports and class hierarchies to identify the base cache class, Read that file to understand the interface, then trace specific invalidation implementations.

Answer: D

Explanation:
This top-down approach establishes the caching abstraction first, then follows only the relevant implementations. It builds architectural understanding without loading all 8,000 lines or relying on narrow keyword matches that may omit important control flow. Anthropic recommends scoping exploration to task-relevant code to avoid filling the context window with unnecessary file reads.

NEW QUESTION # 42
When passing context between agents in a multi-agent orchestration, why is it highly recommended to use structured data formats?

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

Answer: C

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 # 43
When configuring Claude Code for a new project, you want to establish team-wide TypeScript strict mode conventions, while keeping your personal Vim keybindings private. What is the correct architectural approach?

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

Answer: A

Explanation:
Claude Code utilizes a configuration hierarchy. Team-wide standards that should be shared via version control belong in the project- level .claude/CLAUDE.md file. User-level configuration (-/.claude/CLAUDE.md) is for personal preferences and is not shared with the team.

NEW QUESTION # 44
To systematically analyze why developers dismiss certain automated code review findings in a quicktechie.com application, which architectural pattern should be implemented?

A. Run a separate classifier model to predict which findings will be ignored.
B. Add a detected_pattern field to the structured findings to track and aggregate dismissal reasons.
C. Use the Message Batches API to delay findings until end-of-week review.
D. Execute a multi-pass review on every pull request to ensure consensus.

Answer: B

Explanation:
Feedback loop design requires tracking which code constructs trigger specific findings. By including a 'detected_pattern' field in the extraction or review output, teams can systematically analyze pattern clusters when developers dismiss findings, identifying systematic false positives.

NEW QUESTION # 45
......

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