Pass your actual test at first attempt with Huawei H13-711_V3.0 training material
Last Updated: Aug 13, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Data Integration & Streaming | 15% | - Loader data migration and synchronization - Flume log collection architecture and configuration - Kafka message queue principles and usage |
| Data Warehouse & Query Engine | 18% | - Hive execution engines: MapReduce, Tez, Spark - Hive architecture, metastore, partitioning and bucketing - File formats: ORC, Parquet, SequenceFile |
| Big Data Industry Overview & Basic Concepts | 10% | - Big data application scenarios and challenges - Huawei Kunpeng big data ecosystem - Development trends and characteristics of big data |
| Distributed Computing Framework | 22% | - YARN architecture, resource scheduling and management - MapReduce programming model and workflow - Spark core concepts, RDD, DataFrame and Spark SQL - Flink stream processing fundamentals |
| Huawei Big Data Platform & Solutions | 7% | - FusionInsight/MRS architecture and components - Typical big data solutions and use cases |
| Security & Other Components | 8% | - LDAP and Kerberos authentication mechanism - Elasticsearch and Redis overview |
| Distributed Storage & Coordination | 20% | - HBase architecture, data model and row-key design - ZooKeeper functions, architecture and application - HDFS architecture, principles and operations |
1. The correct installation process for installing Fusioninsight HD is
A) Install Manager->Execute preinstall->LLD tool for configuration->Install cluster->Check after installation->Configure after installation
B) Install Manager->LLD tool for configuration->execute preinstall->install cluster->post-installation check->post-installation configuration
C) LLD tool to configure -> execute preinstalls-> install cluster-> install Manager-> post-installation check-> post-installation configuration
D) LLD tool to configure -> execute preinstall-> install Managers-> install cluster-> post-installation check-> post-installation configuration
2. Which statement is correct about the client uploading files to the HDF$ file system in the Hadoop system?
A) Allows the client to divide the file into multiple blocks, according to DaThe address information of taNodel is entered into each DataNode in order
B) The file data of the client is passed to the DataNode through the NameNode
C) The client only uploads data to one DataNode, and then the NameNodet is responsible for block replication
D) The client writes the entire file to each DataNodel in sequence according to the address information of the DataNode, and then divides the file into multiple blos by the DataNode)ck
3. Fl?Me is akind of distributed. highreliable and highavailableofClothesservice. useto be effectivecompare?,polymerization?Move a lot of logs? ?.
A) FALSE
B) TRUE
4. Map Reducein MaThe combine in stage p is a pre-grouping process and is optional.
A) FALSE
B) TRUE
5. What are the functions of Nimbus in the Streaming architecture?
A) Resource allocation
B) Monitor task execution status
C) task scheduling
D) start/stop worker process
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A,B,C |
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