[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fV5A2Y342gkHVYvLc7wzpZvUn0Kot2JdCc7c4vHNpOOc":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2023-12-29 12:28:41",123687574,[8,9,10,11],"FsImage文件没有记录每个块存储在哪个数据节点","FsImage文件包含文件系统中所有目录和文件inode的序列化形式","FsImage用于维护文件系统树以及文件树中所有的文件和文件夹的元数据","FsImage文件记录了每个块具体被存储在哪个数据节点",{"courseId":13,"courseImg":14,"courseName":15},"71bf35067f2973b19415860fbec11ea5","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F5d196b2861d38e2e1956acf668187696.jpeg","大数据应用开发","下面对FsImage的描述,哪个是错误的",[18,29,38,47,56,65,74,83,86,95],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],123687552,[22,23,24,25],"一切与支撑大数据组织管理和价值发现相关的企业经济活动的集合","提供智能交通、智慧医疗、智能物流、智能电网等行业应用的企业","提供数据分享平台、数据分析平台、数据租售平台等服务的企业","提供分布式计算、数据挖掘、统计分析等服务的各类企业","大数据产业指什么","v1",0,{"answer":30,"createTime":5,"id":31,"options":32,"question":37,"source":27,"type":28},[],123687557,[33,34,35,36],"针对大规模数据的批量处理","针对大规模图结构数据的处理","大规模数据的存储管理和查询分析","针对流数据的实时计算","在大数据的计算模式中,流计算解决的是什么问题",{"answer":39,"createTime":5,"id":40,"options":41,"question":46,"source":27,"type":28},[],123687560,[42,43,44,45],"成本高","高可靠性","高容错性","运行在Linux平台上","下列哪个不属于Hadoop的特性",{"answer":48,"createTime":5,"id":49,"options":50,"question":55,"source":27,"type":28},[],123687566,[51,52,53,54],"为海量数据提供存储的HDFS和对数据进行计算的MapReduce","提供整个HDFS文件系统的NameSpace(命名空间)管理、块管理等所有服务","Hadoop不仅可以运行在企业内部的集群中,也可以运行在云计算环境中","Hadoop被视为事实上的大数据处理标准","Hadoop框架中最核心的设计是什么",{"answer":57,"createTime":5,"id":58,"options":59,"question":64,"source":27,"type":28},[],123687568,[60,61,62,63],"帮助NameNode收集文件系统运行的状态信息","负责执行由JobTracker指派的任务","协调数据计算任务","负责协调集群中的数据存储","在一个基本的Hadoop集群中,SecondaryNameNode主要负责什么",{"answer":66,"createTime":5,"id":67,"options":68,"question":73,"source":27,"type":28},[],123687570,[69,70,71,72],"HDFS还采用了相应的数据存放、数据读取和数据复制策略,来提升系统整体读写响应性能","HDFS采用了主从(Master\u002FSlave)结构模型","HDFS采用了冗余数据存储,增强了数据可靠性","HDFS采用块的概念,使得系统的设计变得更加复","下列关于HDFS的描述,哪个不正确",{"answer":75,"createTime":5,"id":76,"options":77,"question":82,"source":27,"type":28},[],123687572,[78,79,80,81],"分层模型","主从结构模型","管道-过滤器模型","点对点模型","HDFS采用了什么模型",{"answer":84,"createTime":5,"id":6,"options":85,"question":16,"source":27,"type":28},[],[8,9,10,11],{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":27,"type":28},[],123687578,[90,91,92,93],"在Region分裂或合并后,负责重新调整Region的分布","对发生故障失效的Region服务器上的Region进行迁移","管理用户对表的增加、删除、修改、查询等操作","不支持不同Region服务器之间的负载均衡","下面关于主服务器Master主要负责表和Region的管理工作的描述,哪个是错误的",{"answer":96,"createTime":5,"id":97,"options":98,"question":103,"source":27,"type":28},[],123687580,[99,100,101,102],"同一个Region不会被分拆到多个Region服务器","为了加快访问速度,.META.表的全部Region都会被保存在内存中","一个-ROOT-表可以有多个Region","为了加速寻址,客户端会缓存位置信息,同时,需要解决缓存失效问题","下面关于Region的说法,哪个是错误的"]