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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Configuration & Workflows	20%	- Configuration files and structure 1. Custom commands and workflows 2. CLAUDE.md and rules system - CI/CD and development integration 1. Pipeline automation and review 2. Plan mode vs direct execution
Topic 2: Tool Design & MCP Integration	18%	- Tool definition and best practices 1. Tool descriptions and selection logic 2. Error handling and validation - Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup
Topic 3: Prompt Engineering & Structured Output	20%	- Structured data generation 1. JSON schema enforcement 2. Output validation and reliability - Advanced prompting techniques 1. Few-shot and chain-of-thought prompting 2. System prompts and role framing
Topic 4: Agentic Architecture & Orchestration	27%	- Agent design patterns 1. Agent loops and control flow 2. Hub-and-spoke multi-agent systems - Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling
Topic 5: Context Management & Responsible AI	15%	- Safety and compliance 1. Constitutional AI principles 2. Refusal handling and risk mitigation - 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 (Q29-Q34):

NEW QUESTION # 29
After the web search and document analysis subagents complete their tasks, the coordinator needs to spawn the synthesis subagent to synthesize the findings. What is the correct approach for providing the synthesis subagent with the information it needs?

A. Include the complete findings from both subagents directly in the synthesis subagent's prompt
B. Pass reference identifiers and configure the subagent with read access to a shared memory store where other subagents deposited their results
C. Provide the subagent with tool definitions that allow it to request outputs from other subagents via callbacks
D. Spawn the subagent with only a brief task description, relying on automatic context inheritance from the coordinator

Answer: A

Explanation:
The synthesis subagent requires the actual content from prior subagents to perform its task.
Including the complete findings in its prompt ensures it has the necessary context to accurately synthesize information without relying on indirect references or external state.

NEW QUESTION # 30
What is the primary architectural difference between handling a transient error and handling a valid empty result within an MCP tool's response payload?

A. Transient errors require the agent to spawn a subagent for resolution, whereas empty results are handled in the main thread.
B. Transient errors must bypass the MCP client and communicate directly via WebSockets, whereas empty results use standard HTTP.
C. There is no difference; both scenarios should return a generic HTTP 404 response.
D. Transient errors use isError: true with a specific errorCategory, while empty results use isError: false and return an empty data array.

Answer: D

Explanation:
An empty result signifies the tool executed flawlessly but found nothing, meaning isError must be false. A transient error (like a network timeout) means the tool failed to execute its primary purpose, so it must return isError: true along with contextual metadata like the errorCategory.

NEW QUESTION # 31
A application features a tool designed to fetch a user's profile. During execution, the tool fails to connect to the database due to a timeout. Why is silently returning an empty array [ ] in this scenario considered a catastrophic anti-pattern?

A. It causes the agent to misinterpret an access failure (could not check) as a valid empty result, wrongly concluding the user does not exist.
B. It prevents the use of few-shot prompting in the next iteration.
C. It causes the Claude API to throw a 400 Bad Request error due to missing required schema fields.
D. It forces the model to ignore all subsequent tool calls in the session.

Answer: A

Explanation:
Access failures (e.g., database down, timeout) must be explicitly distinguished from empty results (e.g., checked database, found zero matches). Silently returning an empty array for an access failure misleads the agent into believing the data does not exist, leading to completely incorrect assumptions.

NEW QUESTION # 32
When a get_customer tool lookup returns multiple potential matches for a user, what is the required pattern for ambiguity resolution?

A. Instruct the agent to ask the user for additional identifiers for clarification.
B. Select the most recently active account using a heuristic.
C. Automatically escalate the session to a human supervisor.
D. Return a structured error payload and permanently terminate the loop.

Answer: A

Explanation:
When multiple matches are found, relying on heuristics to guess the correct user can lead to security and billing risks. The correct reliability decision is instructing the agent to ask the user for additional clarifying identifiers rather than using heuristic selection.

NEW QUESTION # 33
When re-running an automated PR review after new commits, what is the best practice to avoid posting duplicate comments on existing issues?

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

Answer: D

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 # 34
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