Last Updated: Aug 06, 2026
No. of Questions: 112 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Claude Code Configuration & Workflows | 20% | - CI/CD and workflow integration
|
| Agentic Architecture & Orchestration | 27% | - Multi-agent orchestration
|
| Context Management & Reliability | 15% | - System reliability
|
| Prompt Engineering & Structured Output | 20% | - Instruction design
|
| Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
1. A customer writes: "I've been going back and forth on this return for days. I just want to speak to someone who can actually help me." The agent has confirmed via lookup_order that the return is straightforward - within policy and eligible for immediate processing. What should the agent do?
A) Acknowledge frustration, inform them this is resolvable now, and offer to complete it or escalate
B) Ask what specifically hasn't worked in previous attempts before deciding whether to escalate or resolve automatically
C) Process the refund via process_refund to resolve the underlying issue, then inform them it's complete
D) Call escalate_to_human immediately to honor the customer's request
2. A developer includes multiple unrelated tasks inside one extremely long prompt. What is the MOST likely outcome?
A) Improved reasoning.
B) Reduced instruction clarity.
C) Faster inference.
D) Increased prompt clarity.
3. Your track_shipment(tracking_id) tool queries an external logistics API that sometimes fails - the API may be temporarily unavailable, the tracking ID may be malformed, or the shipment may not exist. Currently, your tool raises a Python exception when errors occur. Users report the agent gives unhelpful responses like "I'm having trouble with that request" instead of suggesting alternatives such as verifying the tracking number format or checking by order number. How should you handle errors in tool results?
A) Implement retry logic with exponential backoff inside the tool implementation so transient errors are automatically handled and only return a result after all retry attempts are exhausted.
B) Return structured error information as normal tool output including error type, recoverability status, and actionable context for the user.
C) Create dedicated error-recovery tools (retry_tracking_lookup, search_by_order_number) that the model can invoke after the primary tracking tool returns a failure indicator.
D) Return a generic error response (e.g., {"success": false, "error": "lookup_failed"}) for all failure cases to maintain a consistent schema and avoid exposing internal error details.
4. Which statement BEST describes Retrieval-Augmented Generation?
A) It permanently retrains Claude.
B) It supplies relevant external knowledge during inference.
C) It changes token pricing.
D) It compresses model weights.
5. Your MCP server includes archive_file(file_id) and delete_file(file_id) tools. Production logs show the agent calls delete_file when users ask to "remove old backups," but company policy requires archiving backup files. Both tools currently have minimal descriptions: "Archives a file" and
"Deletes a file." Which change most directly improves tool selection for this scenario?
A) Expand tool descriptions to clarify use cases, adding guidance like "Do not use for backup files" to delete_file.
B) Add few-shot examples to the system prompt demonstrating that requests involving "backup" or
"old" should use archive_file.
C) Implement server-side validation that rejects delete_file calls for files tagged as backups, returning an error message suggesting archive_file.
D) Add a confirmation step that requires users to type "CONFIRM DELETE" before delete_file executes.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A |
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