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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering & Structured Output	20%	- Instruction design 1. Deterministic output formatting (e.g., JSON) 2. Few-shot prompting strategies - Tool-augmented prompting 1. Validation and retry loops 2. Tool-use driven reasoning patterns
Topic 2: Claude Code Configuration & Workflows	20%	- CI/CD and workflow integration 1. Command vs plan mode usage 2. Automated pipeline integration - Claude Code configuration 1. CLAUDE.md hierarchy and scoping 2. Project-level vs user-level configuration
Topic 3: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool selection and routing strategies 2. MCP server integration patterns - Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas
Topic 4: Agentic Architecture & Orchestration	27%	- Multi-agent orchestration 1. Coordinator / sub-agent patterns 2. Parallel task decomposition - Agentic loops & lifecycle design 1. Stop reason handling and control flow 2. Tool use loop execution (request → tool_use → result → next step)
Topic 5: Context Management & Reliability	15%	- System reliability 1. Error propagation handling 2. Escalation strategies (fail vs retry vs human) - Context window optimization 1. "Lost in the middle" mitigation strategies 2. Managing long conversation degradation

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q74-Q79):

NEW QUESTION # 74
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 wants Claude to follow a detailed code review checklist (8 items covering API changes, test coverage, documentation, security, etc.) when reviewing pull requests. The team also uses Claude extensively for other tasks: writing new features, debugging production issues, and generating documentation. Currently, developers paste the checklist at the start of each review session. Which approach best addresses this workflow need?

A. Create a /review slash command containing the checklist, invoked when starting reviews.
B. Configure plan mode as the default for code review sessions.
C. Add the checklist to the project's CLAUDE.md file under a "Code Review" section.
D. Create a dedicated review subagent with the checklist embedded in its configuration.

Answer: A

Explanation:
A reusable command is ideal for a checklist or procedure that developers invoke only during code reviews. It avoids repeatedly pasting the checklist and prevents review-specific instructions from consuming context during unrelated tasks.

NEW QUESTION # 75
A coordinator agent needs to delegate a broad research topic. How can the coordinator efficiently spawn multiple parallel subagents instead of executing them sequentially?

A. By emitting multiple Task tool calls within a single response turn.
B. By using the fork_session command for each subagent in separate turns.
C. By defining a PostToolUse hook that duplicates the prompt to multiple endpoints.
D. By invoking the parallel_execute method provided natively in the Agent SDK.

Answer: A

Explanation:
Parallel execution in a multi-agent system is achieved when the coordinator agent emits multiple Task tool calls in a single response turn. This allows the system to process the corresponding subagents simultaneously rather than across separate sequential turns.

NEW QUESTION # 76
A well-designed structured error response for an MCP tool should include which of the following standard fields? Choose 2 correct answers.

A. system_prompt_override
B. isError
C. errorCategory
D. temperature_adjustment

Answer: B,C

Explanation:
Structured error responses in MCP rely on standard fields like isError, errorCategory, isRetryable, and context to give the agent a clear path for recovery. They do not alter underlying model parameters like temperature or the system prompt.

NEW QUESTION # 77
When building the raw tool-handling conversation loop with the API/SDK, Claude may return a ToollJse block. To properly continue the multi-turn agentic loop, what are the requirements for formatting and returning the result of the executed function to Claude? Choose 2 correct answers.

A. The result must be passed back inside an assistant role message with an is_error'. false flag.
B. The result must be appended to the messages array inside a user role message containing a tool_result block.
C. The tool result must strictly be a serialized JSON object; raw text strings will automatically trigger a loop termination.
D. The tool result block must include a that matches the ID generated by Claude's initial tool request.

Answer: B,D

Explanation:
To correctly supply a tool result back to Claude in the API/SDK flow, the application must construct a user message containing a content block of type 'tool_result'. This block must explicitly contain the 'tool_use_id' matching the original 'tool_use' request block from the assistant to map the result accurately.

NEW QUESTION # 78
To allow a coordinator agent to spawn specialized subagents in a multi-agent orchestration setup, which specific configuration must be applied to the coordinator?

A. The coordinator's allowedTools array must explicitly include the Task tool.
B. Configure a PreToolUse hook to automatically manage the spawning process.
C. Set the tool_choice parameter to auto for the coordinator agent.
D. The subagent must be initialized with an inherit_context: true flag.

Answer: A

Explanation:
The Task tool is the designated mechanism for spawning subagents. Critical configuration dictates that the coordinator's allowedTools must explicitly include 'Task' to enable subagent creation.

NEW QUESTION # 79
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