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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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)
Topic 2: Agentic Architecture & Orchestration	27%	- Agentic loops & lifecycle design 1. Stop reason handling and control flow 2. Tool use loop execution (request → tool_use → result → next step) - Multi-agent orchestration 1. Parallel task decomposition 2. Coordinator / sub-agent patterns
Topic 3: 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)
Topic 4: Claude Code Configuration & Workflows	20%	- Claude Code configuration 1. Project-level vs user-level configuration 2. CLAUDE.md hierarchy and scoping - CI/CD and workflow integration 1. Automated pipeline integration 2. Command vs plan mode usage
Topic 5: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP server integration patterns 2. Tool selection and routing strategies - Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q73-Q78):

NEW QUESTION # 73
If conflicting formatting rules are defined in both a directory-level src/api/CLAUDE .md and the project-level . claude/CLAUDE.md, how does Claude Code resolve the precedence when editing files inside the src/api/ directory?

A. Both rules are disabled until the conflict is manually resolved in the configuration.
B. The project-level configuration overrides the directory-level configuration to ensure team standards.
C. Claude prompts the user to manually select the correct rule via an interactive terminal flow.
D. The directory-level configuration overrides the project-level configuration because it is more specific.

Answer: D

Explanation:
In Claude Code's configuration hierarchy, more specific scopes take precedence over broader ones. Therefore, Directory-level > Project-level > User-level. The rules in src/api/CLAIJDE.md will override conflicting rules in the project-level .claude/CLAUDE.md.

NEW QUESTION # 74
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 your agent to identify untested code paths in a legacy payment processing module spanning 45 files. After reading the first 8 source files, the agent's responses are becoming noticeably less accurate - it's forgetting previously discussed code patterns and hasn't yet located all test files or traced critical payment flows. What's the most effective approach to complete this investigation?

A. Document all current findings in a summary report, clear context completely, then use that report as the sole reference for continuing the investigation.
B. Spawn subagents to investigate specific questions (e.g., "find all test files for payment processing," "trace refund flow dependencies") while the main agent coordinates findings and preserves high-level understanding.
C. Switch to using Grep to search for specific function names instead of reading full files, reducing the content loaded into context for remaining exploration.
D. Clear context with /clear, then selectively re-read only the most critical files discovered so far, writing key findings to a scratchpad file that persists between context resets.

Answer: B

Explanation:
Subagents isolate detailed exploration in separate context windows and return concise findings to the main agent. This prevents further context degradation while preserving high-level coordination across test discovery and payment-flow tracing.

NEW QUESTION # 75
Which factor MOST directly affects API cost?

A. Screen resolution
B. Internet speed
C. CPU clock frequency
D. Number of processed tokens

Answer: D

Explanation:
LLM pricing primarily depends on input and output tokens processed during inference. Efficient prompt design and limiting unnecessary context can reduce operational costs without sacrificing response quality.

NEW QUESTION # 76
A pull request modifies 14 files across a repository. A single-pass automated review produces inconsistent results, catching deep bugs in some files while missing obvious ones in others. How should the review architecture be redesigned to fix this?

A. Switch to a higher-tier model with a larger context window to process all files simultaneously.
B. Split the review into focused passes: analyze each file individually for local issues, followed by a separate integration pass for cross-file data flow.
C. Require developers to manually split the PR into smaller submissions of 3-4 files.
D. Run three independent reviews on the full PR and only flag issues that reach consensus.

Answer: B

Explanation:
Splitting large code reviews into per-file local analysis passes (to catch syntax/local logic bugs) plus a separate cross-file integration pass prevents attention dilution. Relying solely on larger context windows or requiring consensus across full monolithic runs are anti-patterns.

NEW QUESTION # 77
After integrating a local MCP server providing code analysis tools (analyze_dependencies, find_dead_code, calculate _complexity), you verify the server is healthy and tools appear in the tools/list response. However, you observe that the agent consistently uses Grep to search for import statements instead of calling analyze_dependencies -even when users explicitly ask about "code dependencies." Examining tool definitions reveals:
MCP: analyze_ dependencies - "Analyzes dependency graph"
Built-in: Grep - "Search file contents for a pattern using regular
expressions. Returns matching lines with line numbers and surrounding
context."
What's the most effective approach to improve the agent's selection of MCP tools?

A. Add routing instructions to the system prompt specifying that dependency-related questions should use MCP tools rather than Grep.
B. Expand MCP tool descriptions to detail capabilities and outputs - e.g., "Builds dependency graph showing direct imports, transitive dependencies, and cycles."
C. Remove Grep from available tools when the MCP server is connected to eliminate functional overlap.
D. Split analyze_dependencies into granular tools ( list_imports, resolve_transitive_deps, detect_circular_deps) so each has a focused purpose less likely to overlap with Grep.

Answer: B

Explanation:
Claude selects tools primarily from their names and descriptions. A specific description distinguishing dependency-graph analysis-including direct imports, transitive dependencies, and cycles-from simple text search makes analyze_dependencies the clearer choice.

NEW QUESTION # 78
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