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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Huawei Big Data Platform MRS & DataArts Studio | 8% | - Typical industry solutions and cases - MRS platform architecture, components and operation - DataArts Studio data development and governance |
| Topic 2: Big Data Industry Overview & Basic Concepts | 8% | - Application scenarios and value of big data - Development trend and characteristics of big data - Huawei Kunpeng big data ecosystem |
| Topic 3: MapReduce & YARN | 12% | - YARN architecture, resource scheduling and management - MapReduce programming model and execution process |
| Topic 4: HDFS & ZooKeeper | 12% | - HDFS architecture, principle and operation - ZooKeeper core functions and working mechanism |
| Topic 5: ClickHouse & Elasticsearch | 8% | - ClickHouse architecture, storage and query features - Elasticsearch search engine, indexing and analysis |
| Topic 6: Flume & Kafka | 12% | - Kafka message system, storage, transmission and application - Flume data collection mechanism and configuration |
| Topic 7: HBase & Hive | 20% | - Hive data warehouse principle, table design, SQL and optimization - HBase architecture, data model, design and operation |
| Topic 8: Spark & Flink | 20% | - Spark core architecture, RDD, DataFrame, SQL and streaming processing - Flink stream processing, architecture, API and application development |
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NEW QUESTION # 259
Which of the following options in the HBase command has the worst performance
Answer: C
NEW QUESTION # 260
What is the unit of data scale for traditional data processing?
Answer: D
NEW QUESTION # 261
The core concept of MapReduce is to decompose a large computing task to each node of the cluster, make full use of cluster resources, and shorten the running time.
Answer: B
NEW QUESTION # 262
What data types of application scenarios are HBase of Hadoop not suitable for?
Answer: C
NEW QUESTION # 263
Which of the following options are the advantages of Fusioninsight Spark SQL?
Answer: C
NEW QUESTION # 264
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