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Last Updated: Aug 15, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Big Data Fundamentals | 3% | - Big data concepts and industry trends - Huawei Kunpeng big data overview |
| Big Data Core Technologies | - MapReduce & YARN technical principles - Kafka distributed messaging - Hive distributed data warehouse fundamentals - Redis in-memory database - HBase technical principles - Flink stream & batch processing - Spark in-memory distributed computing - Flume log aggregation - LDAP & Kerberos authentication basics - Elasticsearch distributed search - Loader data conversion - HDFS and ZooKeeper technical principles | |
| Huawei Big Data Solutions | 4% | - Huawei big data solution features |
1. Regarding the basic operation of Hive table building, which is the correct description?
A) Once the table is created, the table name cannot be changed
B) When creating an external table, you need to specify the external keyword
C) Once the table is created, the column names cannot be changed
D) Once the table is created, no new columns can be added
2. Which of the following scenarios are not good at Flink components?
3. Zookeeper enhancements include adding ephemeral nodes to audit logsDeleted audit logs.
A) False
B) True
4. Which of the following is the ElasticSearch node?
A) Index
B) EsMaster
C) Cluster
D) EsNode
5. HBase pass( )Quickly determine that user data does not exist.
A) Bloom Filter
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: Only visible for members | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: A |
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