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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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
Topic 2: Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Session state and context handling 2. Task spawning and tool management - Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow
Topic 3: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP server and client setup 2. Tools, resources, and prompts integration - Tool definition and best practices 1. Error handling and validation 2. Tool descriptions and selection logic
Topic 4: 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
Topic 5: Context Management & Responsible AI	15%	- Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization - Safety and compliance 1. Constitutional AI principles 2. Refusal handling and risk mitigation

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q57-Q62):

NEW QUESTION # 57
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. Restructuring a monolithic application into discrete microservices.
C. Evaluating multiple integration approaches for a new third-party payment provider.
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 # 58
When implementing your lookup_order MCP tool, the backend sometimes returns errors (e.g.,
"Order not found" or temporary database failures). What is the correct pattern for communicating these errors back to the agent?

A. Throw an exception from the tool handler so the agent framework can catch and log it
B. Log the error server-side and return an empty result to avoid confusing the model
C. Return a success response with a "status" field indicating the error type
D. Return the error message in the tool result content with the isError flag set to true

Answer: D

Explanation:
Returning structured tool results with isError set to true allows the agent to receive explicit error signals while preserving the error message. This enables the agent to reason about the failure, choose appropriate recovery actions, and provide meaningful feedback to the user.

NEW QUESTION # 59
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. Configure plan mode as the default for code review sessions.
B. Create a /review slash command containing the checklist, invoked when starting reviews.
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: B

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 # 60
During the final synthesis phase, the system receives conflicting statistical data from two different subagents: one derived from a verified financial database, and another extracted from an outdated PDF. How should the synthesis agent handle this conflict?

A. Arbitrarily select the value from the financial database since structured databases are inherently more accurate.
B. Halt the synthesis process and prompt the user to manually select the correct statistical value.
C. Track information provenance by preserving both values, their sources, confidence levels, and timestamps, allowing informed resolution.
D. Average the two conflicting values together to provide a balanced estimate in the final report.

Answer: C

Explanation:
Tracking information provenance (source, confidence, timestamp) is essential in multi-agent synthesis. Conflicting data should be annotated with its source attribution rather than being arbitrarily selected or averaged, allowing the system or human reviewer to resolve the conflict based on reliability.

NEW QUESTION # 61
To measure ongoing error rates in high-confidence extractions and detect novel error patterns, which methodology should be implemented?

A. Prompt-based sequential pipelining.
B. Exhaustive 100% human review.
C. Stratified random sampling.
D. Aggregate accuracy averaging.

Answer: C

Explanation:
Stratified random sampling is the recommended method for measuring error rates in data classified as 'high-confidence'. This catches novel error patterns that the model might be confidently hallucinating without requiring unscalable 100% manual review.

NEW QUESTION # 62
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