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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HDFS & ZooKeeper | 12% | - HDFS architecture and principles - HDFS data storage and fault tolerance - ZooKeeper architecture and coordination mechanism |
| Topic 2: LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| Topic 3: Huawei Big Data Solution | 4% | - FusionInsight HD/MRS overview - Platform functions and industry cases |
| Topic 4: Hive Distributed Data Warehouse | 10% | - Hive data model and SQL - Hive architecture and components - Hive data storage and query execution |
| Topic 5: Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| Topic 6: Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Characteristics of big data - Huawei Kunpeng big data overview - Big Data industry development trends |
| Topic 7: MapReduce & YARN | 12% | - YARN architecture and resource scheduling - Task execution and resource management - MapReduce programming model and workflow |
| Topic 8: Kafka Messaging System | 9% | - Kafka architecture and core concepts - Message production and consumption |
| Topic 9: HBase Distributed Database | 10% | - HBase table design and application scenarios - HBase architecture and data model - HBase read/write process |
| Topic 10: Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Topic 11: Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Topic 12: Loader Data Conversion | 5% | - Loader functions and use cases - Data import/export process |
| Topic 13: Flink Stream Processing Framework | 8% | - Flink architecture and data flow model - Stream processing scenarios - Event time and window mechanism |
| Topic 14: Spark Distributed Computing Framework | 12% | - Spark SQL and Spark Streaming - Spark architecture and RDD concept - Spark task scheduling and optimization |
1. Which of the following is not a role or service involved in the process of reading data in HBasei?
A) ZooKeeper
B) HRegionServer
C) LHMaster
D) HDFS
2. Neither Spark nor Hadoopi are suitable for iterative computing scenarios.
A) False
B) True
3. ElWhat processing capabilities does asticSearch have for structured, semi-structured, and unstructured data?
A) The written data can be checked in real timeSow
B) Provides the ability to search full text, conditions can include words or phrases
C) numberOptional rewrite when data is writtendeleteand compression function
D) to enterA series of operations such as line cleaning, word segmentation, and establishment of an inverted index
4. In the Fusioninsight product, which of the following descriptions are correct about the topic of creating Kafka?
A) all of the aboveA. True
B) Setting up multiple replicas can enhance the disaster tolerance of Kafka services
C) When creating TopicE of Kafkal, the number of Partitions must be set
D) When creating TopicE of Kafkal, the number of Partition copies must be set
5. It is used to record the message reading position in Kafka (fill in the blank)
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A,B,C,D | Question # 5 Answer: Only visible for members |
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