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Huawei H13-711_V3.5 Exam Syllabus Topics:

Huawei HCIA-Big Data V3.5 Sample Questions:

1. When the scale of the Hadoop cluster is large, the distribution of data will be very critical. Users need to decide whether to expand the cluster and whether the data needs to be balanced according to the data distribution. Which of the following statements about Fusioninsight resource distribution monitoring is correct? (Multiple choice)

A) Through the resource distribution viewing interface of each service home page, you can view the distribution of key resources
B) Through the DashBoard interface, you can view the distribution of host resources. For example, a list of hosts with a memory occupancy rate of 50-75%, and provide link jumps
C) Help users quickly find the node with the highest resource consumption and take appropriate measures
D) Can help users quickly focus on the most critical resource consumption

2. Which of the following options are used to configure the number of memory and CPU of NodeManager? (Multiple choice)

A) YARN.nodemanager.vmem-pmom-ratio
B) YARN.modemanager.resource.memory-mb
C) YARN.nodemanager.resource.cpu-vcore
D) YARN.scheduler.capacity.root.QueueA.maximum-capacity

3. Regarding the relationship between Hive and other components of Hadoop, which of the following descriptions is wrong?

A) Hive finally stores the data in HDFS
B) Hive is a data warehouse tool for the Hadoop platform
C) Hive has a strong dependence on HBase
D) HQL can perform tasks through MapReduce

4. On the Fusioninsight Manager interface, when a Kafka disk capacity insufficient alarm is received, and the cause of the alarm has been ruled out as a hard disk hardware failure, the system administrator needs to consider expanding the capacity to solve this problem

A) True
B) False

5. Regarding the comparison between Hive and traditional data warehouses, which of the following descriptions is wrong?

A) Hive is based on HDFS storage, theoretically, the storage capacity can be expanded infinitely, while the storage capacity of traditional data warehouses will have an upper limit
B) Since Hive data is stored in HDFS, it can guarantee high fault tolerance and high reliability of data
C) Since Hive is based on a big data platform, the query efficiency is faster than traditional data warehouses
D) Hive metadata storage is independent of data storage, thereby decoupling metadata and data, with high flexibility, while traditional data warehouses have single data applications and low flexibility

Solutions: