[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fj4nKzI4suaw7DTlXMVK2zGJ_bjKEu_6t8mktUoZTWa4":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2026-03-19 10:17:47",325374283,[8,9,10,11],"当一个数据集包含多个类别的数据时适用","应按照最高风险或最高重要性的类别进行定级","体现了对数据安全的审慎态度","可以降低数据的整体安全级别",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},16,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","work_50934568","新建作业20260317","关于数据分类的 &quot;就高从严&quot; 原则,说法错误的是( )",[21,32,35,44,53,62,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],325374282,[25,26,27,28],"数据有序化","价值显性化","治理精准化","数据加密化","关于数据分类的核心目的,说法错误的是( )","v1",0,{"answer":33,"createTime":5,"id":6,"options":34,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":36,"createTime":5,"id":37,"options":38,"question":43,"source":30,"type":31},[],325374284,[39,40,41,42],"按业务领域可分为客户数据、财务数据等","按数据类型可分为结构化、半结构化和非结构化数据","按数据来源只能分为内部数据和外部数据","按敏感程度可分为公开数据、内部数据等","关于数据分类方法,说法错误的是( )",{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":30,"type":31},[],325374285,[48,49,50,51],"实现数据的差异化防护","实现资源的合理分配","对所有数据采取相同的安全防护措施","避免 &quot;一刀切&quot; 的低效防护","关于数据分级的核心意义,说法错误的是( )",{"answer":54,"createTime":5,"id":55,"options":56,"question":61,"source":30,"type":31},[],325374286,[57,58,59,60],"通常按重要性和敏感性分为三级","包括核心数据、重要数据和一般数据","&quot;敏感数据&quot; 是其标准分级之一","核心数据的安全级别最高","关于常用的数据三级分级方法,说法错误的是( )",{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":30,"type":31},[],325374287,[66,67,68,69],"用户的身份证号和银行卡号通常被定为核心数据","用户的姓名和手机号通常被定为重要数据","产品的公开介绍文档通常被定为一般数据","公司的财务报表通常被定为一般数据","关于数据分级的示例,说法错误的是( )",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":30,"type":31},[],325374288,[75,76,77,78],"分类关注数据的 &quot;属性&quot; 和 &quot;特征&quot;","分级关注数据的 &quot;价值&quot; 和 &quot;风险&quot;","分类的结果有等级差异","分级的结果是对数据保护优先级的划分","关于数据分类与数据分级的区别,说法错误的是( )",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],325374289,[84,85,86,87],"存量数据庞大且分散,梳理工作量大","业务部门与安全部门可能存在目标冲突","数据自动生成和分类变得更加容易","非结构化数据中的敏感信息难以识别","关于企业实施数据分类分级的挑战,说法错误的是( )",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],325374290,[93,94,95,96],"利用 AI 驱动的自动化分类工具提高效率","建立专门的数据治理组织推动协作","完全依赖人工进行数据梳理和分类","加强员工培训,提升全员安全意识","关于应对数据分类分级挑战的策略,说法错误的是( )",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],325374291,[102,103,104,105],"向 AI 自适应分级发展","与隐私计算技术融合","与零信任架构集成","完全依赖人工规则进行分类分级","关于数据分类分级的未来发展趋势,说法错误的是( )"]