Last Updated: Jul 25, 2026
No. of Questions: 62 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering & Structured Output | 20% | - Prompt design strategies - Improving Claude response quality and consistency - Structured output generation and validation |
| Context Management & Reliability | 15% | - Evaluation and reliability strategies - Managing context windows and information flow - Production deployment considerations |
| Tool Design & MCP Integration | 18% | - Designing effective tools for Claude applications - Tool safety, reliability, and usability - Model Context Protocol (MCP) concepts and integration |
| Agentic Architecture & Orchestration | 27% | - Selecting appropriate Claude architectures - Designing agentic systems and workflows - Agent coordination and orchestration patterns |
| Claude Code Configuration & Workflows | 20% | - Claude Code usage and configuration - Developer productivity workflows - Integrating Claude Code into development processes |
1. You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
A security audit requires updating your authentication library from v2 to v3. The migration guide documents breaking changes: authenticate() now returns a Promise instead of accepting a callback, the User type has restructured fields, and three deprecated methods were removed. Grep shows the library is imported in 45 files across several modules.
What's the most effective approach?
A) Enter plan mode to explore library usage across modules, map affected code paths, then create a migration strategy before implementing.
B) Create a custom slash command encapsulating the migration transformations, then execute it against each file without prior codebase exploration.
C) Update the dependency version, run the test suite, and use Claude Code to fix each failure as it appears.
D) Paste the migration guide's breaking changes into your prompt and use direct execution to update all usages across the 45 files.
2. You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools ( get_customer , lookup_order , process_refund , escalate_to_human ). Your target is 80%+ first-contact resolution while knowing when to escalate.
A customer raises three separate issues during one session: a refund inquiry (turns 1-15), a subscription question (turns 16-30), and a payment method update (turns 31-45). At turn 48, the customer asks "What happened with my refund?" The conversation is approaching context limits.
What strategy best maintains the agent's ability to address all issues throughout the session?
A) Implement sliding window context that retains the most recent 30 turns.
B) Summarize earlier turns into a narrative description, preserving full message history only for the active issue.
C) Rely on MCP tools to re-fetch relevant information on demand when the customer references earlier issues.
D) Extract and persist structured issue data (order IDs, amounts, statuses) into a separate context layer.
3. You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
You need to add a date validation check ensuring event dates are in the future. This requires adding a conditional statement to one existing function in a single file.
What is the most appropriate approach?
A) Enter plan mode first to create a detailed implementation strategy before making the change.
B) Start with extended thinking mode enabled to ensure thorough reasoning about the validation logic.
C) Use direct execution to make the change.
D) Enter plan mode to analyze how the validation might impact other parts of the reservation flow.
4. You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
You're tasked with adding real-time updates to the application. This could be implemented using WebSockets, Server-Sent Events, or polling, each with different complexity, browser support, and infrastructure requirements.
What's the most effective way to begin this task?
A) Use direct execution to implement polling first, then evaluate whether to upgrade to WebSockets later.
B) Start direct execution with WebSockets, then refactor if infrastructure issues arise.
C) Use direct execution with a prompt asking Claude to analyze all approaches and implement the one it determines is best.
D) Enter plan mode to explore the architecture, evaluate trade-offs, and present options for team approval before implementing.
5. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
Your extraction system implements automatic retries when validation fails. On each retry, the specific validation error is appended to the prompt. This retry-with-error-feedback approach resolves most failures within 2-3 attempts.
For which failure pattern would additional retries be LEAST effective?
A) The model extracts "et al." for co-authors when the full list exists only in an external document not in the input.
B) The model extracts citation counts as locale-formatted strings ("1,234") when the schema requires integers.
C) The model extracts keywords as a nested object organized by category when the schema requires a flat array of strings.
D) The model extracts dates as ISO 8601 datetime strings ("2023-03-15T00:00:00Z") when the schema requires only the date portion (YYYY-MM-DD).
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |
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