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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering & Structured Output	20%	- Structured data generation 1. JSON schema enforcement 2. Output validation and reliability - Advanced prompting techniques 1. Few-shot and chain-of-thought prompting 2. System prompts and role framing
Topic 2: Context Management & Responsible AI	15%	- Safety and compliance 1. Refusal handling and risk mitigation 2. Constitutional AI principles - Context window optimization 1. Context retention and summarization 2. Token management and truncation strategies
Topic 3: Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Session state and context handling 2. Task spawning and tool management - Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow
Topic 4: 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. Error handling and validation 2. Tool descriptions and selection logic
Topic 5: 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. Pipeline automation and review 2. Plan mode vs direct execution

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q101-Q106):

NEW QUESTION # 101
Which of the following strategies effectively manage context degradation in long-running exploratory sessions? Choose 2 correct answers.

A. Continuously summarizing 'case facts' blocks to free up space.
B. Delegating verbose exploration output to subagents to keep the main coordinator's context clean.
C. Persisting key findings and intermediate states in external scratchpad files that survive context resets.
D. Increasing the model's temperature parameter to encourage creative context recovery.

Answer: B,C

Explanation:
Delegating verbose exploration to subagents (who return only concise summaries to the main thread) and using external scratchpad files to persist key findings across context boundaries effectively mitigate context degradation. Summarizing 'case facts' defeats their purpose, and temperature adjustments do not fix context limits.

NEW QUESTION # 102
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 sees an unfamiliar error message "SYNC_CONFLICT: entity version mismatch detected" in production logs but doesn't know which of the 12 services in the codebase generates it. They ask the agent to help locate the source code. What exploration approach will most efficiently find the responsible code?

A. Use Glob to find files in directories commonly associated with error handling (such as errors/, exceptions/,or handlers/) across all services, then Read each matching file.
B. Use Grep to find all files that import the project's error handling module, then Read those files to locate custom error definitions.
C. Read the project's README and service configuration files to understand the architecture, then systematically Read source files in each service directory.
D. Use Grep to search for distinctive text from the error message (like "SYNC_CONFLICT" or "entity version mismatch"), then Read the matching files to understand context.

Answer: D

Explanation:
Searching for the exact error code or unique message fragment is the fastest way to locate where it is defined or emitted. Read can then inspect the surrounding implementation and call path.

NEW QUESTION # 103
An automated pipeline is using a PreToolUse hook to block unauthorized file reads by evaluating the requested file path. How does the hook command properly communicate to Claude *why* the action was blocked so the agent can adjust its behavior?

A. By returning an exit code of 2 and writing the explanation to standard error, which is fed back to Claude as feedback.
B. By overriding the context window entirely with a generic access denied template.
C. By silently terminating the session and initiating a new one with an updated system prompt.
D. By returning an empty JSON array [] on standard output.

Answer: A

Explanation:
In Claude Code hooks, an exit code of 2 in a PreToolUse hook blocks the tool call. Any message written to standard error (stderr) is fed back directly to Claude as feedback, explaining exactly why the operation was blocked so the model can adapt.

NEW QUESTION # 104
A company wants Claude to summarize thousands of support tickets efficiently. Which design scales BEST?

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

Answer: B

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 # 105
When designing subagents to handle conflicting data from different sources during the final synthesis phase, which of the following are recommended practices? Choose 2 correct answers.

A. Silently average the conflicting numerical values to provide a balanced estimate.
B. Arbitrarily select the value from the most recently updated database to resolve the conflict.
C. Require subagents to output structured claim-source mappings.
D. Preserve information provenance including the source, confidence level, and timestamp.

Answer: C,D

Explanation:
When handling conflicting information, the system must maintain information provenance by requiring structured claim-source mappings (tracking source, confidence, and timestamp). This allows the system or a human reviewer to resolve conflicts based on reliability. Arbitrary selection or silently averaging data are architectural anti-patterns.

NEW QUESTION # 106
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