[{"data":1,"prerenderedAt":45},["ShallowReactive",2],{"q-fintech-22-035":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-22-035","22",35,"一般而言，有關大數據的 4V 特性，下列何者錯誤？",[13,14,15,16],"大量性(Volume)","多樣性(Variety)","時效性(Velocity)","可視性(Visibility)",3,"市場資訊供應(大數據與新市場平台)",1,"可視性(Visibility)並不在大數據的 4V 特性之列,故 (D) 錯誤,為正解。大數據 4V 一般指:(A) 大量性(Volume),資料規模龐大;(B) 多樣性(Variety),涵蓋結構化資料與文字、影像等非結構化資料;(C) 時效性(Velocity),資料產生與處理速度快,需即時分析;第四個 V 則為真實性(Veracity),強調資料品質與可信度,也有版本改列價值性(Value)。無論採哪個版本,都不包含可視性。","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？",1793070566247]