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| Section | Weight | Objectives |
|---|---|---|
| HBase & Hive | 20% | - Hive data warehouse principle, table design, SQL and optimization - HBase architecture, data model, design and operation |
| Flume & Kafka | 12% | - Kafka message system, storage, transmission and application - Flume data collection mechanism and configuration |
| Huawei Big Data Platform MRS & DataArts Studio | 8% | - DataArts Studio data development and governance - Typical industry solutions and cases - MRS platform architecture, components and operation |
| MapReduce & YARN | 12% | - MapReduce programming model and execution process - YARN architecture, resource scheduling and management |
| HDFS & ZooKeeper | 12% | - HDFS architecture, principle and operation - ZooKeeper core functions and working mechanism |
| Spark & Flink | 20% | - Spark core architecture, RDD, DataFrame, SQL and streaming processing - Flink stream processing, architecture, API and application development |
| Big Data Industry Overview & Basic Concepts | 8% | - Huawei Kunpeng big data ecosystem - Application scenarios and value of big data - Development trend and characteristics of big data |
| ClickHouse & Elasticsearch | 8% | - ClickHouse architecture, storage and query features - Elasticsearch search engine, indexing and analysis |
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NEW QUESTION # 139
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.
Answer: B
NEW QUESTION # 140
Which application scenarios are HBase not suitable for?
Answer: A
NEW QUESTION # 141
An Executor of a Spark task can run multiple tasks at the same time
Answer: B
NEW QUESTION # 142
When using Loader for data import and export, data processing must go through the Reduce phase
Answer: B
NEW QUESTION # 143
HDFS supports large file storage, and supports multiple users to write to the same file at the same time, and to modify any position of the file.
Answer: B
NEW QUESTION # 144
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