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Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Development Trend and Kunpeng Big Data Solution | 3% | - Kunpeng big data solution overview - Big data industry development and characteristics |
| Topic 2: Flink - Stream Processing Framework | 10% | - Flink application development - Flink architecture and stream processing model |
| Topic 3: Data Integration and Security | 9% | - LDAP and Kerberos security authentication - Loader data migration tool |
| Topic 4: Spark - Distributed Computing Framework | 10% | - Spark RDD and DataFrame - Spark core concepts and architecture |
| Topic 5: Data Collection: Flume and Kafka | 12% | - Kafka message system principle and application - Flume data collection mechanism |
| Topic 6: Hive - Distributed Data Warehouse | 10% | - Hive architecture and data model - Hive SQL and data operation |
| Topic 7: HDFS and ZooKeeper | 12% | - ZooKeeper principles and application scenarios - HDFS architecture and working mechanism |
| Topic 8: HBase - Distributed NoSQL Database | 10% | - HBase architecture and data storage - HBase operation and application |
| Topic 9: MapReduce and YARN | 12% | - YARN resource management and scheduling - MapReduce programming model and execution process |
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
1. Hive is a data warehouse infrastructure built on Hadoop. It provides a set of tools that can be used to extract, transform and load (ETL), which is a mechanism for storing, querying and analyzing large-scale data stored in Hadoop.
A) True
B) False
2. The combine of MapReduce in the Map stage is a pre-grouping process, which is optional.
A) True
B) False
3. If there are only Default, QueueA, and QueueB subqueues in the YARNU group, then it is allowed to set their capacities to 60%, 25%, and 22% respectively.
A) True
B) False
4. There are two ways to clean up Kafka logs: delete and compact. The default value is delete.
A) True
B) False
5. Hive does not check whether the data conforms to the schema when loading. Hive follows the schema on read (read mode). Only when reading, Hive checks and parses specific data fields and schema.
A) True
B) False
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |
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