How to Estimate Your Score for the Senior Architect Exam Multiple‑Choice Section (May 23 2026)

The article presents a post‑exam score‑estimation guide for the Senior Architect (软考高级架构师) certification, focusing on the multiple‑choice portion of the May 23 2026 exam. It begins with a disclaimer that the question statements and options may not exactly match the official items and that the provided answers are the author's personal judgments, not official solutions.

A large table lists 74 questions. Each entry includes:

Question number and text (e.g., "f(x)=ln(x²‑4x) – find the domain of x", "Minimum spanning tree", "Agile development: when should testing be introduced?", "Triple‑DES ciphertext length", "How to ensure session counterpart resources match its declaration?", etc.).

Reference answer (often a numeric value, a keyword, or a short phrase such as "x>4 or x<0", "38", "需求阶段", "mTLS", "重连", "倒排索引", "Singleton", "边缘计算", etc.).

Brief analysis or reasoning that explains why the answer is chosen (for example, the domain of the logarithmic function is x>4 or x<0; the correct stage for test involvement in agile is the requirement stage; the length of Triple‑DES ciphertext is 112 bits; the appropriate mitigation for network fluctuations is reconnection; Elasticsearch uses inverted indexes to speed up content search; a singleton belongs to the creational pattern group; edge computing runs close to devices, while fog computing sits between cloud and edge, etc.).

The guide covers a wide range of topics relevant to software architecture and IT systems, including mathematics, algorithms (minimum spanning tree), software engineering processes (agile testing, test‑left shift, smoke testing), operating‑system concepts (interrupt vectors, file allocation tables), database theory (functional dependencies, normal forms, natural joins), security (SSL, mTLS, digital signatures, knowledge‑base components), cloud and distributed systems (micro‑services avalanche, Lambda architecture layers, fault tolerance, load‑balancing), AI fundamentals (Transformer self‑attention, unsupervised learning scenarios), and various standards and methodologies (CMMI, ACM matrix, ATAM, AHP, DSS).

At the end, the author thanks the community for sharing information and hopes the analysis helps peers estimate their scores and alleviate the stress of waiting for official results.