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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Huawei Big Data Solutions | 4% | - Huawei big data solution features |
| Topic 2: Big Data Fundamentals | 3% | - Big data concepts and industry trends - Huawei Kunpeng big data overview |
| Topic 3: Big Data Core Technologies | - Flink stream & batch processing - Loader data conversion - Spark in-memory distributed computing - Hive distributed data warehouse fundamentals - Redis in-memory database - HBase technical principles - Kafka distributed messaging - Elasticsearch distributed search - Flume log aggregation - HDFS and ZooKeeper technical principles - LDAP & Kerberos authentication basics - MapReduce & YARN technical principles |
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) FALSE
B) TRUE
2. Which of the following application scenarios can HBase be used for? (multiple choice)
A) User portrait
B) Time series data storage
C) recommended friends
D) message order storage
3. HBasetable design, column families andRowKeyIt is an important part of table design. Which of the following options is not suitableDoRowKey?
A) username
B) handmachine number
C) userID
D) identity number
4. "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
5. Which of the following statements about the interaction between F1ink and other components is correct?
A) Flink can send received components to Kafka
B) The implementation of Flink's checkpoint relies on Zookeeper
C) Flink reads and writes data in HDFS file system
D) The running of Flink tasks relies on YARN for resource scheduling and management
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A,B,C,D |
