H13-711_V3.0 Huawei HCIA-Big Data V3.0 Free Practice Exam Questions (2025 Updated)
Prepare effectively for your Huawei H13-711_V3.0 HCIA-Big Data V3.0 certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.
HBase quickly determines that user data does not exist. (fill in the blank)
By configuring which of the following parameters can the logs generated in Kafkal be cleaned up?
Batch processing of high-value and highly aggregated information and knowledge is the main business requirement of the big data industry
Spark is a memory-based computing engine. All Sparki program data in the running process can only be stored in memory
The processing logic of topology is in bolt.
In Huawei Fusioninsight, HBase's table design tool, connection pool management and enhanced $DK can simplify the business development of complex data tables.
ElasticSeArch expansion fieldKing Packageincluding whichsome?
Which of the following are the built-in string functions of Hive?
In order to consider performance optimization, it is recommended to deploy LdapServeri and KrbServer on the same node in all clusters.
Redis multi-server nodedeploy, the client sends a requestbeggingtake officemeaning? ?,if? ?check itself is not key placementnode, thenwill requestto itshe?.
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Zookeeper enhancements include adding ephemeral nodes to audit logsDeleted audit logs.
kafka Distributed message delivery is based on reliable message queues. Which of the following two main message delivery patterns are included?
Spark Streaming computing is based on DStream, which decomposes streaming computing into a series of short batch jobs.
Which of the following options describes the Compaction correctly?
Fusioninsight Spark SQL, like the community Spark JDBCServer, only supports single-tenant binding to a YARN resource queue and multi-tenancy, and does not support multi-tenant parallel execution.
ElWhat processing capabilities does asticSearch have for structured, semi-structured, and unstructured data?
BelowcloseAtWhat does Flick's fault tolerance mechanism describe errors?
The checkpoint mechanism in Flink continuously draws snapshots of streaming applications. The state snapshots of streaming applications can only be saved in the HDFS file system
When using Loaderi for data import and export, data processing must go through the Reducel stage
Tez is a distributed computing box that supports directed acyclic graphs. When Hive uses the Tez engine for data analysis, it parses the HQL statements submitted by users into corresponding Tez tasks and submits them to Tez for execution.
What query types does ElasticSearch have? (multiple choice)
With the continuous increase in the volume of big data, the requirements for the physical security of data storage are getting higher and higher, and higher requirements are also put forward for the multiple copies of data and disaster recovery mechanism.
A typical Katka cluster contains several Producers, several Brokers, several Consumers and a ZooKeeper cluster.
Spark on YARN-clienti is suitable for production environment because it can see the output of APP faster.
YarnWhen doing resource scheduling, maptaak and reduceTask are run in( )middle.
Which of the following scenarios are not good at Flink components?
Comparing Spark and MapReducei, which of the following statements are correct?
Which of the following parts does the structure of the unified certification management system include?
In MapReduce programming, code not only describes what to do, but also how to do it.