Exam Scenarios
PracticeScenario-based practice questions covering customer support, code generation, multi-agent research, developer productivity, CI/CD, and structured extraction.
Design a multi-step customer support agent that resolves tickets, escalates when needed, and tracks resolution quality. Covers programmatic enforcement, tool description design, and escalation criteria.
Architect code generation workflows using Claude Code. Master slash commands, CLAUDE.md configuration, plan mode, rules with glob patterns, and iterative refinement strategies.
Design a coordinator-subagent research system that gathers, synthesizes, and validates information from multiple sources. Covers decomposition strategies, error propagation, and tool scoping.
Optimize a development team's workflow with Claude Code and the Agent SDK. Covers codebase exploration strategies, MCP server scoping, tool distribution for agents, session management, and scratchpad patterns.
Build a CI/CD pipeline that uses Claude Code for automated code review, test generation, and deployment validation. Covers headless mode, Batch API selection, multi-file review strategies, and structured output.
Design a structured data extraction pipeline using tool_use and JSON schemas. Covers schema design for accuracy, forced tool selection, validation-retry loops, batch processing, and human review routing.