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Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HBase - Distributed NoSQL Database | 10% | - HBase architecture and data storage - HBase operation and application |
| Topic 2: Flink - Stream Processing Framework | 10% | - Flink architecture and stream processing model - Flink application development |
| Topic 3: Spark - Distributed Computing Framework | 10% | - Spark RDD and DataFrame - Spark core concepts and architecture |
| Topic 4: Big Data Development Trend and Kunpeng Big Data Solution | 3% | - Big data industry development and characteristics - Kunpeng big data solution overview |
| Topic 5: HDFS and ZooKeeper | 12% | - ZooKeeper principles and application scenarios - HDFS architecture and working mechanism |
| Topic 6: MapReduce and YARN | 12% | - MapReduce programming model and execution process - YARN resource management and scheduling |
| Topic 7: Data Integration and Security | 9% | - LDAP and Kerberos security authentication - Loader data migration tool |
| Topic 8: Hive - Distributed Data Warehouse | 10% | - Hive architecture and data model - Hive SQL and data operation |
| Topic 9: Data Collection: Flume and Kafka | 12% | - Kafka message system principle and application - Flume data collection mechanism |
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
1. Which components in Fusioninsight HD can Zookeeper provide distributed management support for? (Multiple choice)
A) HBase
B) Loader
C) Spark
D) Hive
2. Which of the following are the characteristics of Huawei Kunpeng processors?
A) High-performance computing, high-performance Huawei Kunpeng processors compatible with ARM architecture and x86 architecture servers and solutions
B) Safe and reliable, creating a high quality that is as stable as Mount Tai
C) All of the above are correct
D) Open ecology, support mainstream software and hardware in the industry, and jointly create a new base for intelligent computing with developers, partners and industrial organizations
3. When the Spark application is running, what is the basis for Stage division?
A) shuffle
B) task
C) taskSet
D) action
4. Structured Streaming can define different data writing methods in the Output stage, including which of the following methods? (Multiple choice)
A) Complete Mode
B) General Mode
C) Update Mode
D) Append Mode
5. Which of the following scenarios is Hive not suitable for?
A) Real-time online data analysis
B) Data summary, such as daily and weekly user clicks, click ranking
C) Data mining, such as user behavior analysis, interest segmentation, and regional display
D) Non-real-time analysis, such as log analysis, statistical analysis
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: A,C,D | Question # 5 Answer: A |
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