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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
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
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
Claude Code Configuration & Workflows	20%	- Configuration files and structure 1. CLAUDE.md and rules system 2. Custom commands and workflows - CI/CD and development integration 1. Plan mode vs direct execution 2. Pipeline automation and review
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
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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q38-Q43):

NEW QUESTION # 38
When executing a complex feature implementation with multiple valid architectural approaches, what is the recommended lifecycle pattern for utilizing Claude Code's operating modes?

A. Combine Plan mode for initial investigation and architecture design, then switch to Direct Execution to implement the agreed-upon plan.
B. Use Direct Execution to write the code, followed by Plan Mode to review the code and write tests.
C. Run Direct Execution in the background via the Message Batches API, passing the result to Plan Mode.
D. Use Plan Mode exclusively, letting it automatically write and commit the files without pausing for approval.

Answer: A

Explanation:
For complex features, the recommended pattern is combining Plan Mode for safe investigation and approach design, getting developer approval on the strategy, and then transitioning to Direct Execution for the actual implementation of the planned approach.

NEW QUESTION # 39
Which of the following statements correctly describe best practices for few-shot prompting? Choose 2 correct answers.

A. Few-shot examples should be avoided when extracting data from documents with highly varied structures.
B. Every few-shot example provided should use a completely different output format to show flexibility.
C. The examples provided should maintain identical formatting to establish a clear pattern for the model to follow.
D. Few-shot examples are highly effective for demonstrating ambiguous-case handling.

Answer: C,D

Explanation:
Best practices dictate that few-shot examples should demonstrate ambiguous-case handling and edge cases, and all examples must maintain identical formatting to establish a reliable pattern. Few-shot examples are actually highly recommended for documents with varied structures.

NEW QUESTION # 40
A customer raises three separate issues during one session: a refund inquiry (turns 1-15), a subscription question (turns 16-30), and a payment method update (turns 31-45). At turn 48, the customer asks "What happened with my refund?" The conversation is approaching context limits.
What strategy best maintains the agent's ability to address all issues throughout the session?

A. Extract and persist structured issue data (order IDs, amounts, statuses) into a separate context layer.
B. Summarize earlier turns into a narrative description, preserving full message history only for the active issue.
C. Implement sliding window context that retains the most recent 30 turns.
D. Rely on MCP tools to re-fetch relevant information on demand when the customer references earlier issues.

Answer: A

Explanation:
Persisting structured issue data separately allows the agent to reference critical details (like order IDs, amounts, and statuses) without relying on the full conversation history. This preserves the ability to address past issues even as token limits constrain the active conversational context.

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 sees an unfamiliar error message "SYNC_CONFLICT: entity version mismatch detected" in production logs but doesn't know which of the 12 services in the codebase generates it. They ask the agent to help locate the source code. What exploration approach will most efficiently find the responsible code?

A. Read the project's README and service configuration files to understand the architecture, then systematically Read source files in each service directory.
B. Use Grep to find all files that import the project's error handling module, then Read those files to locate custom error definitions.
C. Use Grep to search for distinctive text from the error message (like "SYNC_CONFLICT" or "entity version mismatch"), then Read the matching files to understand context.
D. Use Glob to find files in directories commonly associated with error handling (such as errors/, exceptions/,or handlers/) across all services, then Read each matching file.

Answer: C

Explanation:
Searching for the exact error code or unique message fragment is the fastest way to locate where it is defined or emitted. Read can then inspect the surrounding implementation and call path.

NEW QUESTION # 42
When designing JSON schemas and interfaces for an agent's tools, which of the following practices represent recommended tool design principles? Choose 2 correct answers.

A. Combining all related backend API endpoints into a single monolithic tool to simplify the allowedTools array.
B. Keeping tool descriptions under 10 words to minimize context window token consumption.
C. Splitting a generic document analysis tool into distinct, purpose-built extract_data and verify _ claim tools.
D. Expanding tool descriptions to explicitly document what happens with empty inputs or invalid boundary data.

Answer: C,D

Explanation:
Recommended tool design principles include providing highly detailed descriptions (including edge cases and empty input handling) and splitting generic or monolithic tools into specialized, purpose-specific tools with clear input/output contracts. Minimal descriptions and monolithic tools severely degrade the LLM's ability to select and configure tools reliably.

NEW QUESTION # 43
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