Constructor: Техническое собеседование

Выводы и как готовиться

• The coding task is the classic RandomizedSet: array for uniform random, hash map for indices, swap-with-last for O(1) deletion.
• The ML case tests problem navigation more than backend architecture: URL/text routing, content extraction, LLM summarization paths and evaluation.
• The vector-search prelude is useful production material because it asks how embeddings move from Airflow/Python into Qdrant HNSW and how indexes are refreshed.