[{"data":1,"prerenderedAt":45},["ShallowReactive",2],{"q-fintech-22-006":3},{"exam":4,"examName":5,"chapterSlug":6,"question":7,"related":22},"fintech","金融科技力知識檢定","c3",{"id":8,"exam":4,"session":9,"qno":10,"question":11,"options":12,"answer":17,"chapter":18,"freq":19,"explanation":20,"difficulty":21},"fintech-22-006","22",6,"「客戶畫像建立」主要是透過下列何種技術實現？",[13,14,15,16],"區塊鏈","虛擬實境","大數據分析與 AI","生物辨識",2,"市場資訊供應(大數據與新市場平台)",1,"客戶畫像(Customer Profiling)是把客戶的基本資料、交易紀錄、通路行為與互動軌跡等多元數據匯整後,以大數據分析找出特徵,再以機器學習等 AI 模型進行分群、貼標籤與需求預測,形成每位客戶的立體輪廓,支援精準行銷與風險控管,故 (C) 正確。(A) 區塊鏈重在分散式帳本與交易不可竄改;(B) 虛擬實境是沉浸式互動體驗技術;(D) 生物辨識用於以生理特徵驗證身分,三者都不是建立客戶畫像的主要技術。","easy",[23,27,31,35,39,42],{"id":24,"question":25,"qno":26},"fintech-19-004","傳統資料庫是以下列何種方式來存儲資料？",4,{"id":28,"question":29,"qno":30},"fintech-19-005","下列何種資料類型必須經過前置處理程序來進行格式標準化，以產生結構化描述資訊，作為未來更多的加值利用？",5,{"id":32,"question":33,"qno":34},"fintech-19-038","資料本身格式相對不固定，型態也較為多元，但表達及呈現卻也是最直覺清楚，如一支影片、一個網頁等，係指下列何種資料結構？",38,{"id":36,"question":37,"qno":38},"fintech-19-057","有關網路爬蟲，下列敘述何者正確？",57,{"id":40,"question":41,"qno":26},"fintech-20-004","一般認知的大數據四大特徵，不包括下列何者？",{"id":43,"question":44,"qno":30},"fintech-20-005","下列何者是大數據資料分析步驟中，使用來處理資料遺缺、重覆、不一致以及數值誤植與檢核錯誤等問題？",1793070565951]