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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Context Management & Responsible AI	15%	- Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization - Safety and compliance 1. Refusal handling and risk mitigation 2. Constitutional AI principles
Topic 2: 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 3: Tool Design & MCP Integration	18%	- Tool definition and best practices 1. Error handling and validation 2. Tool descriptions and selection logic - Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup
Topic 4: Agentic Architecture & Orchestration	27%	- Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow - Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling
Topic 5: Prompt Engineering & Structured Output	20%	- Advanced prompting techniques 1. System prompts and role framing 2. Few-shot and chain-of-thought prompting - 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 (Q95-Q100):

NEW QUESTION # 95
A CI pipeline uses Claude to generate missing test cases for new pull requests. However, it frequently suggests test scenarios that are already covered elsewhere. How should this be resolved?

A. Provide existing test files in the context so the model can avoid suggesting duplicate scenarios.
B. Use a PostToolUse hook to deduplicate the generated tests against the existing codebase.
C. Instruct the model to only generate tests for functions with zero coverage.
D. Set the model's temperature to 0.0 to ensure deterministic test generation.

Answer: A

Explanation:
To prevent Claude from generating duplicate or overlapping tests, you must provide the existing test files in the context window. This ensures test generation adds net-new value and accurately supplements the current test suite.

NEW QUESTION # 96
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.
You need to add a date validation check ensuring event dates are in the future. This requires adding a conditional statement to one existing function in a single file. What is the most appropriate approach?

A. Enter plan mode first to create a detailed implementation strategy before making the change.
B. Enter plan mode to analyze how the validation might impact other parts of the reservation flow.
C. Start with extended thinking mode enabled to ensure thorough reasoning about the validation logic.
D. Use direct execution to make the change.

Answer: D

Explanation:
This is a small, well-defined modification in one function and one file. Plan mode is better suited to complex, high-impact, or multi-file changes that require review before editing.

NEW QUESTION # 97
When using a hook to normalize heterogeneous data formats (e.g., standardizing different date formats returned by multiple external APIs) before the LLM processes them, which hook pattern is typically used?

A. A PreToolUse hook that modifies the user's prompt.
B. A PostToolUse hook that intercepts and transforms the tool results.
C. A SubagentStop hook that triggers re-evaluation.
D. A Notification hook that alerts the user of data inconsistencies.

Answer: B

Explanation:
PostToolUse hooks intercept tool execution after the tool runs but before the result is passed back to Claude. This makes them ideal for normalizing or transforming raw data (like standardizing Unix timestamps to ISO 8601) so the agent processes consistent data.

NEW QUESTION # 98
In Model Context Protocol architecture, what is the primary distinction between an MCP Tool and an MCP Resource?

A. Resources provide pre-built conversation templates, whereas Tools provide context history.
B. Resources expose static or templated data that clients can fetch to inject into prompts, whereas Tools are executable functions that perform actions.
C. Resources execute functions that perform backend mutations, whereas Tools expose data catalogs.
D. Resources are hosted locally via stdio, whereas Tools are hosted remotely via HTTP.

Answer: B

Explanation:
MCP Resources are used to expose data (like documents, schemas, or summaries) that clients can fetch directly. Tools are executable functions that allow the model to take actions or perform dynamic lookups during the agentic loop.

NEW QUESTION # 99
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.
Your agent has analyzed a complex service module -reading 23 source files, tracing request flows, and identifying error handling patterns. A developer wants to compare two testing strategies before committing to one: end-to-end tests with mocked external services vs. snapshot tests capturing expected outputs. They need to independently develop both approaches to evaluate trade-offs. How should you manage the sessions?

A. Start two fresh sessions, having each re-read the relevant source files before beginning.
B. Resume the analysis session with fork_session enabled, creating a separate branch for each testing strategy.
C. Export the analysis session's key findings to a file, then create two new sessions that reference this file.
D. Continue in the original session, developing end-to-end tests first, then snapshot tests sequentially.

Answer: B

Explanation:
Forking preserves the original session's accumulated codebase context while creating independent session IDs. Each strategy can therefore evolve separately without repeating the 23- file analysis or contaminating the other branch.

NEW QUESTION # 100
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