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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Configuration & Workflows	20%	- CI/CD and workflow integration 1. Automated pipeline integration 2. Command vs plan mode usage - Claude Code configuration 1. CLAUDE.md hierarchy and scoping 2. Project-level vs user-level configuration
Topic 2: Agentic Architecture & Orchestration	27%	- Multi-agent orchestration 1. Parallel task decomposition 2. Coordinator / sub-agent patterns - Agentic loops & lifecycle design 1. Stop reason handling and control flow 2. Tool use loop execution (request → tool_use → result → next step)
Topic 3: Prompt Engineering & Structured Output	20%	- Instruction design 1. Deterministic output formatting (e.g., JSON) 2. Few-shot prompting strategies - Tool-augmented prompting 1. Validation and retry loops 2. Tool-use driven reasoning patterns
Topic 4: Tool Design & MCP Integration	18%	- Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas - Model Context Protocol (MCP) 1. MCP server integration patterns 2. Tool selection and routing strategies
Topic 5: Context Management & Reliability	15%	- Context window optimization 1. Managing long conversation degradation 2. "Lost in the middle" mitigation strategies - System reliability 1. Escalation strategies (fail vs retry vs human) 2. Error propagation handling

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q102-Q107):

NEW QUESTION # 102
An automated code review pipeline is configured to analyze pull requests modifying dozens of files. To avoid attention dilution and contradictory findings, what is the recommended task decomposition strategy?

A. Split the review into focused per-file local analysis passes, followed by a separate integration-focused pass examining cross-file data flow.
B. Instruct the model to perform a single-pass review but explicitly prioritize security vulnerabilities over style inconsistencies.
C. Analyze all files simultaneously using a model with a maximum context window to ensure complete cross-file visibility.
D. Execute three independent review passes on the entire pull request and only flag issues that appear in at least two runs.

Answer: A

Explanation:
For large code reviews, processing many files at once leads to attention dilution, missing bugs, and inconsistent depth. The best architectural strategy is to split the review into per-file local analysis passes to catch syntax/logic bugs, followed by a separate cross-file integration pass to evaluate data flow.

NEW QUESTION # 103
You've configured the system so that all four subagents have access to the complete set of
18 tools. During testing, agents frequently call tools outside their specialization - the synthesis agent attempts web searches, and the report generator tries to analyze documents. What is the primary cause of this poor tool selection behavior?

A. Choosing from 18 tools instead of 4-5 relevant ones increases decision complexity beyond reliable selection thresholds.
B. The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
C. The agents' role descriptions in their system prompts conflict with having access to tools outside that role.
D. The tool definitions consume too much context window space, leaving insufficient room for task content.

Answer: A

Explanation:
Providing all agents with access to a large set of tools increases the cognitive load for tool selection. When the number of options grows beyond a manageable threshold, agents are more likely to misuse tools outside their specialization, reducing efficiency and accuracy.

NEW QUESTION # 104
Your update_user_profile tool accepts a user_id (required) and an optional fields_to_update object. In testing, Claude frequently omits user_id or passes incorrectly structured data. What is most critical for helping Claude understand what parameter values to provide?

A. Clear parameter descriptions explaining expected format, such as "user_id: UUID of the user to update (required)"
B. Detailed error responses explaining why invalid parameter values were rejected
C. Strict JSON Schema type constraints marking user_id as required and defining fields_to_update as an object type
D. Verbose parameter names encoding format hints, such as user_id_string_uuid_format

Answer: C

Explanation:
Enforcing required fields and type constraints through a JSON Schema gives the agent clear rules about what parameters must be provided and their expected structure, preventing omissions or incorrectly formatted data.

NEW QUESTION # 105
Your automated extraction pipeline displays an impressive 96% aggregate accuracy on the dashboard. However, downstream teams complain about frequent errors when processing complex financial contracts. What monitoring methodology resolves this visibility gap?

A. Utilizing fork_session to isolate contract documents into separate evaluation workflows.
B. Tracking accuracy per document type and field (stratified metrics) instead of relying solely on aggregate metrics.
C. Increasing the overall sampling size randomly to capture a broader dataset.
D. Switching entirely to the Message Batches API to ensure complete asynchronous processing.

Answer: B

Explanation:
Aggregate accuracy metrics can mask severe per-document-type failures (e.g., invoices at 70% accuracy while simple receipts are at 99%, averaging out to 96%). Tracking accuracy using stratified metrics (per document type and field) reveals hidden failures and calibration issues before automating high-confidence extractions.

NEW QUESTION # 106
A developer at quicktechie.com wants to configure Claude Code to always use their preferred Vim keybindings, without enforcing this standard on the rest of their team. Where must this configuration be placed?

A. Option C
B. Option D
C. Option B
D. Option A

Answer: A

Explanation:
Personal preferences (like editor settings or Vim keybindings) must go in the user-level configuration located at ~/.claude/CLAUDE.md. Placing them in the project-level .claude/CLAUDE.md would share them via version control and force them onto the entire team, which is an anti-pattern.

NEW QUESTION # 107
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