An administrator is configuring AI Search for a CSM portal. Which THREE features are specific capabilities of AI Search compared to legacy Text Search in ServiceNow Knowledge Management? (Choose three.)
AI Search applies semantic and lexical correction, automatically fixing misspellings and mapping synonyms so queries still return relevant Knowledge articles. Legacy Text Search requires exact token matches, so typos or alternate wording fail. This satisfies the scenario's demand for capabilities beyond legacy Text Search.
Why this answer
AI Search in ServiceNow Knowledge Management is built on a semantic, ML-driven engine rather than the legacy Zing text index, so option A is correct: it performs automatic spelling correction and synonym handling to match user queries to relevant knowledge articles even when terms are misspelled or phrased differently. Option C is correct because AI Search applies Natural Language Understanding (NLU) to interpret user intent and context, enabling intent-based querying instead of relying purely on keyword tokenization. Option E is correct because AI Search surfaces Genius Results, which display a direct answer or best-match knowledge article at the top of the results list, a capability not present in legacy Text Search.
Option B is incorrect because exact string matching with strict wildcard requirements describes the limitations of legacy text search, not AI Search, which is fuzzy and semantic. Option D is incorrect because AI Search does not mandate SQL table joins for every query; it uses its own indexed search infrastructure and relevance ranking rather than requiring relational joins per search.
Exam trap
CIS-CSM often tests the confusion between legacy Zing text search (exact matching, wildcards) and AI Search (NLU, synonyms, Genius Results) — candidates pick legacy behaviors as if they were AI Search features.