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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Huawei Big Data Solutions | 4% | - Huawei big data solution features |
| Big Data Core Technologies | - Kafka distributed messaging - Flume log aggregation - LDAP & Kerberos authentication basics - HDFS and ZooKeeper technical principles - Flink stream & batch processing - Loader data conversion - Spark in-memory distributed computing - MapReduce & YARN technical principles - HBase technical principles - Redis in-memory database - Hive distributed data warehouse fundamentals - Elasticsearch distributed search | |
| Big Data Fundamentals | 3% | - Huawei Kunpeng big data overview - Big data concepts and industry trends |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. Assuming that HDFS only saves 2 copies when writing dat
a. Then during the writing process, HDFS Client first writes data to DataNodel1 and then writes data to DataNode2.0
A) False
B) True
2. Which of the following commands can be used to create node data?
A) create /node
B) 1s/node
C) get/node
D) set/node data
3. Which of the following statements about segment file in Kafka Logs is correct?
A) The index file is sparsely stored, which can greatly reduce the space occupied by the metadata of the index file
B) Message can be quickly located through index information
C) Sparse storage, that is, to store the original complete data only at intervals
D) Mapping all index metadata to memory can avoid index data IO disk operations of segmentfile
4. In the Hadoop platform, to view the information of an application in the YARN service, what command is usually needed?
A) jar
B) container
C) Aapplication
D) application-attempt
5. How does ElasticSearch index data?
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A,B,C,D | Question # 4 Answer: C | Question # 5 Answer: Only visible for members |
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