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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Claude Code Workflows & Configuration | 20% | - Claude Code operational patterns
|
| Topic 2: Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
| Topic 3: Context Management & Reliability | 15% | - Long-context optimization
|
| Topic 4: Prompt Engineering & Structured Output | 20% | - Reliable structured generation
|
| Topic 5: Agentic Architecture & Orchestration | 27% | - System orchestration patterns
|
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NEW QUESTION # 62
Your send_notification tool calls third-party messaging APIs. When these services time out during delivery, you cannot determine whether the message was actually sent. Currently, the tool returns is_error: true with a generic "Notification failed" message for all timeouts. Production monitoring reveals agents automatically retry these failures, frequently causing users to receive duplicate notifications. How should you modify the error response?
Answer: B
Explanation:
Adding a structured retry_safe flag distinguishes uncertain, potentially idempotent errors from permanent failures. This allows the agent to make informed decisions about automatic retries, preventing duplicate notifications while maintaining reliability for recoverable errors.
NEW QUESTION # 63
An agent is designed to self-evaluate its confidence before deciding whether to route an ambiguous task to a human reviewer. Why is relying on the model's self-reported conversational confidence score for escalation routing considered a flawed approach?
Answer: A
Explanation:
Model self-reported confidence is unreliable and poorly calibrated for routing. For effective human-in-the-loop routing, models should output structured, field-level confidence scores that are then calibrated against labeled validation sets, rather than relying on self-reported conversational confidence for escalation decisions.
NEW QUESTION # 64
Compliance requires that refunds exceeding $500 must automatically escalate to a human agent
- this rule cannot be left to model discretion. Despite clear system prompt instructions, production logs show the agent occasionally processes high-value refunds directly (3% failure rate). How should you achieve guaranteed compliance?
Answer: A
Explanation:
Enforcing the policy outside of the model via a PreToolUse hook guarantees compliance. By intercepting high-value refund attempts and triggering human escalation, the system ensures the rule is applied consistently regardless of prompt instructions or agent behavior.
NEW QUESTION # 65
In an automated code review workflow, why is it considered a major architectural anti-pattern to have the same Claude session both generate code and subsequently review its own generated changes?
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 catching subtle issues.
NEW QUESTION # 66
In a large organization, skill naming conflicts can occur. If a personal skill, a project-level skill, a plugin skill, and an enterprise managed skill all share the identical name, what is the correct priority order (from highest to lowest) that Claude Code uses to resolve the conflict?
Answer: B
Explanation:
Claude Code resolves skill name conflicts following a strict priority hierarchy: Enterprise (managed settings) take highest priority, followed by Personal skills, Project skills, and finally Plugins at the lowest priority.
NEW QUESTION # 67
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