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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Configuration & Workflows	20%	- Configuration files and structure 1. Custom commands and workflows 2. CLAUDE.md and rules system - CI/CD and development integration 1. Plan mode vs direct execution 2. Pipeline automation and review
Topic 2: 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 3: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup - Tool definition and best practices 1. Tool descriptions and selection logic 2. Error handling and validation
Topic 4: 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. JSON schema enforcement 2. Output validation and reliability
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. Refusal handling and risk mitigation 2. Constitutional AI principles

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q70-Q75):

NEW QUESTION # 70
You have testing conventions that must be uniformly applied, but your test files are distributed alongside source code files (e.g., Button. test. tsx next to Button. tsx). Why is creating a rule file in . claude/rules/ better than modifying the root CLAUDE. md?

A. Consolidating all conventions in the root CLAUDE .md requires Claude to infer which sections apply to which files, making the application of rules probabilistic rather than deterministic.
B. The root CLAUDE .md is strictly reserved for environment variable expansion.
C. Rules in . claude/rules/ can natively execute shell commands prior to loading, unlike the root configuration.
D. The root CLAUDE .md cannot process testing frameworks like Jest or Vitest.

Answer: A

Explanation:
Consolidating all conventions in a root CLAUDE.md file forces the model to rely on inference to determine which sections apply to the current context. Using .claude/rules/ with glob patterns applies conventions deterministically based on file paths, regardless of directory location.

NEW QUESTION # 71
During a long-running customer support session, the agent repeatedly summarizes the conversation history to save context space. By turn 10, the agent forgets the customer's specific account number and the exact promotional price they were quoted. How should you redesign the context management to prevent this?

A. Extract transactional facts into an immutable 'case facts' block positioned at the start of the context that is never summarized.
B. Restart the session from scratch after 5 turns and ask the customer to repeat their details.
C. Store the conversation in an external database and run a lexical search query on every turn.
D. Increase the frequency of progressive summarization to occur every 2 turns instead of 5.

Answer: A

NEW QUESTION # 72
The synthesis agent completes its initial pass but flags that three key research questions remain unanswered because the web search and document analysis agents didn't find relevant information on those specific subtopics. The coordinator currently proceeds directly to report generation, producing reports with incomplete coverage. What change would most effectively improve research completeness?

A. Increase the initial breadth of queries sent to web search and document analysis to reduce the probability of missing relevant information.
B. Have the report generation agent note which research questions couldn't be answered, so users understand the limitations of the final output.
C. Have the coordinator evaluate synthesis output for gaps, then re-delegate to web search and document analysis with targeted queries before invoking synthesis again.
D. Give the synthesis agent direct access to web search tools so it can autonomously fill knowledge gaps without returning control to the coordinator.

Answer: C

Explanation:
The coordinator should treat unanswered research questions as gaps in the workflow and route them back to the appropriate specialist agents with targeted follow-up tasks. This creates an iterative research loop that improves completeness before the final report is generated.

NEW QUESTION # 73
A pull request modifies 14 files across the stock tracking module. A single-pass self-evaluation review analyzing all files together produces inconsistent results: detailed feedback for some files but superficial comments for others. How should you restructure the evaluation architecture?

A. Switch to a higher-tier model with a larger context window to give all 14 files adequate attention in one pass.
B. Split into focused passes: analyze each file individually for local issues, then run a separate integration-focused pass examining cross-file data flow.
C. Run three independent review passes on the full PR and only flag issues that appear in at least two of the three runs.
D. Require developers to manually split the PR into smaller submissions before the automated review runs.

Answer: B

Explanation:
Splitting reviews into focused passes directly addresses the root cause: attention dilution when processing many files at once. File- by-file analysis ensures consistent depth, while a separate integration pass catches cross-file issues. Larger context windows do not solve attention quality issues, and forcing consensus suppresses real bugs.

NEW QUESTION # 74
Why is configuring the exact same Claude session to review its newly generated pull request code considered an architectural anti-pattern?

A. The Message Batches API does not support synchronous self-review workflows.
B. It typically exceeds the maximum token limit of the context window during the generation phase.
C. Tools invoked during the first pass are permanently locked and cannot be reused in the review pass.
D. The reviewer retains the reasoning context and assumptions from the generation phase, creating confirmation bias.

Answer: D

Explanation:
Same-session self-review is an anti-pattern because the model retains the context and reasoning from the generation phase, leading to a blind spot or confirmation bias. Independent review instances with fresh contexts are much more effective at objectively evaluating code.

NEW QUESTION # 75
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