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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Context Management & Responsible AI	15%	- Context window optimization 1. Context retention and summarization 2. Token management and truncation strategies - Safety and compliance 1. Constitutional AI principles 2. Refusal handling and risk mitigation
Topic 2: 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. Tool descriptions and selection logic 2. Error handling and validation
Topic 3: Agentic Architecture & Orchestration	27%	- Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow - Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling
Topic 4: 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 5: 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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q12-Q17):

NEW QUESTION # 12
A developer at builds an MCP server to standardize repetitive actions for the engineering team. They want to provide ready-to-use message sequences with specific formatting instructions that bypass the need for users to write them from scratch. Which MCP component fulfills this requirement?

A. MCP Resources
B. MCP Tools
C. MCP Subagents
D. MCP Prompts

Answer: D

Explanation:
MCP Prompts define a set of pre-built user and assistant messages that clients can request. They act as high-quality, tested templates that give Claude better starting instructions for specific tasks than a user might write on their own.

NEW QUESTION # 13
You are managing context in a long-running Claude Code session that has accumulated a large amount of exploratory tool calls. You want to free up context space without completely losing the memory of what was previously worked on. Which techniques are recommended? Choose 2 correct answers.

A. Use the /compact command to summarize conversation history and reclaim context space.
B. Save key findings to a scratchpad file and delegate verbose exploration to subagents.
C. Delete older messages from the conversation array manually to ensure hard truncation.
D. Use the /clear command to erase all history and rely on the model's pre-trained knowledge.

Answer: A,B

Explanation:
The recommended mitigation strategies for context degradation in extended sessions include using the Icompact command to compress history, persisting key state to scratchpad files, and using subagent delegation to keep the coordinator context clean. [clear removes all memory, which contradicts the goal of retaining previous work memory.

NEW QUESTION # 14
When re-running an automated PR review after new commits, what is the best practice to avoid posting duplicate comments on existing issues?

A. Run grep via Bash to parse previous GitHub comments and filter them out programmatically.
B. Include prior review findings in the context and instruct Claude to report only new or still-unaddressed issues.
C. Clear the context window completely using /clear before every run.
D. Use the Message Batches API to automatically deduplicate comments across runs.

Answer: B

Explanation:
To avoid duplicate comments, best practice dictates including prior review findings in the context when re-running reviews after new commits, explicitly instructing Claude to report only new or unaddressed issues.

NEW QUESTION # 15
You are deep into a complex codebase analysis session and need to explore an alternative API integration approach without polluting your main session's context window. Which session management mechanism should you use?

A. Use claude fork_session to create a branched session that inherits current context but diverges safely.
B. Create a scratchpad file and write the alternative approach directly to the local disk.
C. Use claude--resume to append the alternative exploration onto a previously saved checkpoint.
D. Use the /clear command to reset the context window before exploring.

Answer: A

Explanation:
The fork_session feature creates a branched session for exploration that inherits the existing context but keeps subsequent interactions isolated, preventing exploration noise from polluting the main session's context.

NEW QUESTION # 16
You are designing an MCP interface for a backend system. When should you choose to implement an MCP Resource instead of an MCP Tool?

A. When you need the model to execute side-effects, such as updating a database record.
B. When you need to execute bash commands on the local machine.
C. When you need to provide pre-built conversation templates.
D. When you want to expose a static content catalog or documentation that can be fetched to provide context without requiring exploratory tool calls.

Answer: D

Explanation:
MCP Resources are used to expose content catalogs (like documentation, static data, or schemas) allowing clients to fetch data directly to inject into prompts. Tools are used when you want the model to perform actions, execute logic, or mutate state.

NEW QUESTION # 17
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