KNOWLEDGE PRACTICE / INTERVIEW QUESTIONS
Interview questions are used to check knowledge understanding, practice expression and derive engineering solutions. Answer independently first, and then compare and analyze; when encountering weak points, return to the corresponding knowledge to explain and complete them.
Choose the direction of knowledge you are learning, explain the principles, premises and boundaries independently, and then analyze and find out the omissions. When you need to make up lessons, use "Learn Corresponding Knowledge" to return to the explanation; when you need to verify the implementation, complete the hands-on tasks on the page.
The questions are designed based on public official information and engineering boundaries. The scale, faults and goals in the cases are teaching assumptions. The reference materials support the technical mechanism, and the Q&A, migration scenarios and self-evaluation standards are designed by this site.
When preparing for the interview, explain the principles, boundaries, and trade-offs in your own words, and then check against the basic compliance, intermediate and advanced signals, and senior signals. Reading records and single answers do not directly represent mastery.
Exercises found: 5
Capacity, response shapes, and execution boundaries of LLM interfaces
Focus only on context budgeting, structured output, tool invocation, and bounded retries that affect Agent engineering behavior.
Token accounting, context capacity, and generation headroom
Use a concrete budget example to distinguish input capacity, generation limits, and next-turn headroom, then decide when to split, filter, or compress.
Boundaries between learned capabilities, contextual evidence, and task behavior
Distinguish between capabilities in parameters, evidence in requests, and post-training behavior, and select adaptation methods based on failure reasons.
Model-response lifecycle and completion semantics
Judge the end of transfer, model termination, output type and tool results separately to know which fragments can be previewed and which states can be delivered.
Prompt iteration, evidence support, and independent acceptance checks
Differentiate structure, provenance, policy fields, and free text support with the same task set, retaining failures and comparing old and new versions.