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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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
Topic 2: 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
Topic 3: Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling - Agent design patterns 1. Agent loops and control flow 2. Hub-and-spoke multi-agent systems
Topic 4: Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Plan mode vs direct execution 2. Pipeline automation and review - Configuration files and structure 1. Custom commands and workflows 2. CLAUDE.md and rules system
Topic 5: 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. Tool descriptions and selection logic 2. Error handling and validation

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q13-Q18):

NEW QUESTION # 13
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 asks the agent to find all files in the monorepo that import the @company/auth package to understand how authentication is used across services. Which built-in tool is most appropriate for this task?

A. Bash, to execute find. -type d -name "*auth*" and explore matching directories
B. Read, starting with package.json files to trace dependency declarations
C. Grep, to search for the import statement pattern across file contents
D. Glob, to find files with "auth" in their filename or path

Answer: C

Explanation:
Grep searches file contents across the repository, making it the correct tool for locating every source file that imports @company/auth. Glob searches filenames and paths, not code content.

NEW QUESTION # 14
During a multi-agent handoff, the synthesis agent receives conflicting statistical data from two different research subagents. How should the system handle this uncertainty? Choose 2 correct answers.

A. Maintain structured claim-source mappings linking each output claim to its source for traceability.
B. Average the two conflicting values together to provide a balanced estimate.
C. Silently drop the older value and return the most recently retrieved data point.
D. Preserve information provenance including the source, confidence level, and timestamp.

Answer: A,D

Explanation:
When subagents provide conflicting data, the system must track information provenance (source, confidence level, timestamp) through claim-source mappings. This metadata enables informed conflict resolution and audit trails. Arbitrary selection or silently averaging data are architectural anti-patterns.

NEW QUESTION # 15
While configuring prompt engineering standards for a production application, you must decide when to implement few-shot examples. Which of the following scenarios represent the most effective use cases for few-shot prompting? Choose 2 correct answers.

A. Simple, well-defined data extraction tasks with clear objective criteria.
B. Tasks requiring standard output formats like valid JSON, where tool_use is already implemented.
C. Ambiguous classification tasks where the boundaries between categories are fuzzy or subjective.
D. Tasks requiring a custom, non-standard output format that Claude does not handle natively.

Answer: C,D

Explanation:
Few-shot prompting is most valuable when the task has ambiguous boundaries (like detecting sarcasm) or requires custom output formats that aren't standard. It is generally unnecessary for simple, well-defined tasks or standard formats like JSON which are better handled natively or via tool_use.

NEW QUESTION # 16
Your codebase has test files spread throughout multiple directories alongside the components they test (e.g., Button. test .tsx next to Button. tsx). How can you ensure Claude automatically applies specific testing conventions whenever it generates or edits a test file?

A. Define an MCP server resource to fetch testing standards dynamically.
B. Create a rule file in . claude/rules/ with YAML frontmatter specifying paths: . test.tsx"].
C. Consolidate all testing conventions in the root CLAUDE .md file and rely on Claude's inference.
D. Place a separate CLAUDE .md file in every subdirectory containing test files.

Answer: B

Explanation:
Using . claude/rules/ files with glob patterns in the paths field allows conventions to be automatically and conditionally applied based on file paths. This ensures the testing rules load deterministically whenever matching test files are generated or edited.

NEW QUESTION # 17
A company wants Claude to summarize thousands of support tickets efficiently. Which design scales BEST?

A. Process tickets individually and combine summaries.
B. Send all tickets in one request.
C. Increase temperature.
D. Remove system prompts.

Answer: A

Explanation:
Hierarchical summarization is an effective strategy for large datasets. Claude summarizes smaller batches first, then combines intermediate summaries into higher-level reports, improving scalability while maintaining important information.

NEW QUESTION # 18
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