CCA-F Test Sample Questions, Real CCA-F Exam

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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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 2: Agentic Architecture & Orchestration	27%	- Agent design patterns 1. Agent loops and control flow 2. Hub-and-spoke multi-agent systems - Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling
Topic 3: Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Pipeline automation and review 2. Plan mode vs direct execution - Configuration files and structure 1. CLAUDE.md and rules system 2. Custom commands and workflows
Topic 4: Context Management & Responsible AI	15%	- Safety and compliance 1. Refusal handling and risk mitigation 2. Constitutional AI principles - Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization
Topic 5: 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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q91-Q96):

NEW QUESTION # 91
You are tasked with using Claude Code to add comprehensive unit tests to an unfamiliar legacy codebase at quicktechie.com. Which approach represents the recommended decomposition strategy for this open-ended task?

A. Start by writing tests for the first file in the directory structure and proceed sequentially through the codebase.
B. First map the project structure, identify high-impact areas, and create a prioritized plan that adapts as dependencies are discovered.
C. Request Claude to automatically generate a monolithic test suite in a single prompt execution.
D. Use a fixed prompt chaining pipeline that executes npm test after generating each line of code.

Answer: B

Explanation:
For open-ended and complex tasks like adding tests to a legacy codebase, the best decomposition strategy involves first mapping the structure and identifying high-impact areas, then creating a prioritized plan that can dynamically adapt as the agent discovers dependencies during implementation.

NEW QUESTION # 92
You are analyzing a massive legacy codebase and want to explore an alternative, potentially destructive refactoring approach without polluting your main session's context window. Which session management feature should you use?

A. / clear
B. / compact
C. fork session
D. - resume

Answer: C

Explanation:
The fork_session feature creates a branched session for exploration that inherits the existing context but keeps subsequent interactions isolated. This allows you to explore divergent approaches safely without exploration noise polluting your main conversation context.

NEW QUESTION # 93
Why is implementing an escalation rule based on a customer's negative sentiment considered an architectural anti-pattern?

A. The system prompt naturally overrides sentiment triggers using the tool_choice: "auto" command.
B. Sentiment analysis requires fine-tuning a custom embedding model, which introduces latency.
C. Sentiment does not correlate with task complexity; an angry customer may have a straightforward request that the agent can resolve autonomously.
D. Negative sentiment triggers the model's Constitutional A1 safety filters, automatically terminating the session.

Answer: C

Explanation:
Escalating based on negative sentiment is an anti-pattern because sentiment does not equal task complexity. An angry customer asking for a password reset does not inherently require human intervention. Escalation should be based on objective criteria like policy gaps or capability limits.

NEW QUESTION # 94
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. Increasing the model's temperature parameter to encourage creative context recovery.
D. Persisting key findings and intermediate states in external scratchpad files that survive context resets.

Answer: B,D

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 # 95
To optimize a structured data extraction pipeline, you want to route only the most uncertain documents to your limited pool of human reviewers. Which method provides the most reliable calibration for this routing?

A. Escalating documents based solely on the aggregate accuracy metric of the entire pipeline.
B. Routing any document that triggers a validation-retry loop more than once.
C. Having the model output field-level confidence scores, and calibrating those thresholds using a labeled validation set.
D. Relying on the model's self-reported confidence score in the conversational text output.

Answer: C

Explanation:
For effective human-in-the-loop routing, models should output structured, field-level confidence scores that are then calibrated against labeled validation sets. Self-reported conversational confidence is unreliable, and aggregate metrics mask specific field-level or document- type failures.

NEW QUESTION # 96
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