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Anthropic CCA-F Exam Syllabus Topics:

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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q64-Q69):

NEW QUESTION # 64
When planning complex multi-flle architectural changes, such as a monolith-to-microservices migration, why is it recommended to use plan mode rather than direct execution?

A. Plan mode utilizes the Message Batches API to reduce token costs by 50 percent.
B. Plan mode restricts Claude to using only read-only tools to explore the codebase, design a strategy, and get developer approval before making costly modifications.
C. Plan mode automatically generates missing unit tests for legacy code before executing.
D. Plan mode overrides the token limit context window by executing across multiple continuous sessions automatically.

Answer: B

Explanation:
Plan mode is designed for complex tasks requiring architectural decisions. It leverages read-only tools to explore and outline a plan, allowing developers to review the strategy before committing to file modifications. Direct execution is better suited for simple, well-defined fixes.

NEW QUESTION # 65
An agent executing a workflow at quicktechie.com needs to inspect the contents of a config. json file to understand current project settings. Which approach represents an architectural anti-pattern?

A. Using the Read tool to parse the JSON contents directly into context.
B. Passing the file path directly to an approved MCP resource for validation.
C. Using the Glob tool to verify the file's path exists before attempting to read it.
D. Invoking config.json") to output the file to the terminal.

Answer: D

Explanation:
Using Bash for file operations when dedicated built-in tools are available is a heavily tested anti-pattern. The agent should use the purpose-built Read tool to examine file contents rather than executing shell commands like 'cat'.

NEW QUESTION # 66
Which of the following scenarios is the most appropriate use case for selecting Direct Execution rather than Plan Mode?

A. Redesigning the database schema and updating all corresponding data access objects.
B. Evaluating multiple integration approaches for a new third-party payment provider.
C. Restructuring a monolithic application into discrete microservices.
D. Adding a date validation conditional to a single, specific utility function.

Answer: D

Explanation:
Direct execution is highly appropriate for simple, well-scoped changes with a clear boundary, such as adding a validation conditional to one function. Complex tasks involving architectural decisions or multi-file restructuring require Plan Mode.

NEW QUESTION # 67
Your process_refund tool returns two types of errors: technical errors ("503 Service Unavailable",
"Connection timeout") that are transient (5% of calls), and business errors ("Order exceeds
30 day return window", "Item already refunded") that are permanent (12% of calls). Monitoring shows the agent wastes 3-4 turns retrying business errors that can never succeed. Currently, both error types return only a plain text message to Claude. What's the most effective way to reduce wasted retries while improving customer-facing response quality?

A. Add few-shot examples showing how to distinguish retriable from non-retriable errors by parsing error message text.
B. Add a check_refund_eligibility tool that must be called before process_refund to prevent business rule violations.
C. Return structured error responses with retriable: false for business errors and a customer-friendly explanation for Claude to use.
D. Implement automatic retry logic at the tool level for technical errors only, passing business errors to Claude without retries.

Answer: C

Explanation:
Structured error responses let the agent distinguish permanent business-rule failures from transient technical failures without parsing plain text. Marking business errors as non-retriable and including a customer-friendly explanation prevents wasted retry turns while helping the agent give a clear, useful response to the customer.

NEW QUESTION # 68
You need Claude to output raw JSON directly to the user interface of your application, without any conversational preamble or markdown formatting. Which prompt engineering technique achieves this?

A. Provide a 10-shot example list of raw JSON outputs.
B. Add "DO NOT USE MARKDOWN" to the end of the user prompt.
C. Combine Assistant Message Prefilling ```json with and use ```as a stop sequence.
D. Set max_tokens to exactly match the length of the JSON string.

Answer: C

Explanation:
Assistant Message Prefilling with ```json tricks the model into thinking it has already started a code block. Providing sequence immediately terminates generation once the JSON payload completes, resulting in raw JSON without explanatory text.

NEW QUESTION # 69
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