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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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
Topic 2: 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 3: 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 4: Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling - Agent design patterns 1. Agent loops and control flow 2. Hub-and-spoke multi-agent systems
Topic 5: 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. Output validation and reliability 2. JSON schema enforcement

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q99-Q104):

NEW QUESTION # 99
While working in Claude Code, you press Shift + Tab to enter Plan Mode. Which subagent is typically associated with isolating the verbose discovery phase to prevent context window exhaustion during planning?

A. The Explore subagent
B. The Plan-Executor subagent
C. The Review subagent
D. The Write subagent

Answer: A

Explanation:
The Explore subagent is used for isolating verbose discovery output and returning focused summaries to preserve the main conversation's context window during the research and planning phase.

NEW QUESTION # 100
What is the specific behavior of the Claude Agent API when the tool_choice parameter is set to "any"?

A. The agent determines whether or not to use a tool at all, sometimes opting to return only natural language text.
B. The agent randomly selects a tool to execute to improve creative variability in testing.
C. The agent is forced to call at least one tool, but it dynamically decides which tool to use based on the context.
D. The agent must execute all available tools in parallel.

Answer: C

Explanation:
Setting tool_choice to "any" tells Claude that it is strictly required to use a tool to respond, but it is free to choose whichever tool from the provided array best fits the prompt's context.

NEW QUESTION # 101
When implementing multi-turn conversations with tool usage in the Claude API, how must the application handle the follow-up request after executing a tool?

A. Use the /compact command to summarize the tool output before returning it.
B. Send only the new tool result to save token context space in the context window.
C. Append a user message containing a tool_result block with the matching tool_use_id, and include the full prior conversation history.
D. Pass the tool result inside an assistant message with an is_error flag.

Answer: C

Explanation:
Because Claude is stateless and does not remember past turns, you must provide the entire conversation history. When returning a tool result, it must be appended as a user message containing a tool_result block that includes the specific tool_use_id matching the request.

NEW QUESTION # 102
You are integrating Claude Code into a GitHub Actions CI/CD pipeline to automate pull request reviews. Which flag combination must be used to ensure the process runs without hanging and produces machine-parseable output?

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

Answer: D

Explanation:
The -p (or -print) flag is required to run Claude Code in non-interactive mode for CIICD pipelines, preventing the process from hanging while waiting for user input. Combined with --output-format json, it provides structured output suitable for automated parsing.

NEW QUESTION # 103
The web search agent has gathered several relevant sources for a research topic. The document analysis agent now needs to examine these sources. How does information typically flow between these two specialized subagents?

A. The web search agent directly invokes the document analysis agent, passing the discovered sources as parameters.
B. Both agents access a shared memory store where the web search agent writes findings and the document analysis agent reads them.
C. The coordinator agent receives the web search agent's output and includes relevant findings in the prompt when invoking the document analysis agent.
D. The agents communicate through an event-driven message queue, with the document analysis agent subscribing to web search completion events.

Answer: C

Explanation:
In a coordinated multi-agent pipeline, the coordinator mediates information flow. It collects outputs from the web search agent and includes the relevant findings in the prompt when invoking the document analysis agent, ensuring proper sequencing and context without tightly coupling the subagents.

NEW QUESTION # 104
......

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