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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Analysis and Applications | - Basic analytics and querying methods - Data ingestion and processing workflows |
| Topic 2: Hadoop Ecosystem | - MapReduce and YARN basics - HDFS architecture and principles |
| Topic 3: Big Data Processing Frameworks | - Spark fundamentals - Hive data warehouse - HBase distributed database |
| Topic 4: Big Data Fundamentals | - Big data architecture overview - Concepts of Big Data and data lifecycle |
| Topic 5: Big Data Operations and Management | - Monitoring and maintenance concepts - Cluster deployment basics |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. Flume supports cascading multiple Flume, and at the same time, the cascade node supports old data replication.
A) TRUE
B) FALSE
2. "Group by" in Hive refers to dividing each data set into several small data sets through certain rules, and then performing data grouping processing for several small data sets.
A) False
B) True
3. In the HDFS mechanism, NameNodet is responsible for managing metadat
a. Each read request on the Clienty side needs to read metadata information from the metadata disk of NameNode, so as to obtain the location of the read file in DataNodel.
A) False
B) True
4. Regarding the task selection of the capacity scheduler, which of the following statements is true( )
A) Maximum queue level first
B) Minimum queue level first
C) Resource recycling request queue priority
D) The queue with the lowest resource utilization takes precedence
5. The core concept of MapReduce is to decompose a large computing task into each node of the cluster to make full use of cluster resources to shorten the running time.
A) False
B) True
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |


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