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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Topic 2: Redis In-Memory Database | 5% | - Data types and storage structure - High availability and application scenarios |
| Topic 3: HBase Distributed Database | 10% | - HBase table design and application scenarios - HBase architecture and data model - HBase read/write process |
| Topic 4: MapReduce & YARN | 12% | - MapReduce programming model and workflow - YARN architecture and resource scheduling - Task execution and resource management |
| Topic 5: Spark Distributed Computing Framework | 12% | - Spark architecture and RDD concept - Spark task scheduling and optimization - Spark SQL and Spark Streaming |
| Topic 6: Huawei Big Data Solution | 4% | - Platform functions and industry cases - FusionInsight HD/MRS overview |
| Topic 7: Hive Distributed Data Warehouse | 10% | - Hive data storage and query execution - Hive architecture and components - Hive data model and SQL |
| Topic 8: HDFS & ZooKeeper | 12% | - HDFS data storage and fault tolerance - ZooKeeper architecture and coordination mechanism - HDFS architecture and principles |
| Topic 9: Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| Topic 10: Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
| Topic 11: Flink Stream Processing Framework | 8% | - Stream processing scenarios - Event time and window mechanism - Flink architecture and data flow model |
| Topic 12: LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| Topic 13: Kafka Messaging System | 9% | - Kafka architecture and core concepts - Message production and consumption |
| Topic 14: Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Huawei Kunpeng big data overview - Big Data industry development trends - Characteristics of big data |
1. What log download methods does Fusionlnsight HD support?
A) Download logs for a specified time period
B) Download logs of all components of installed components
C) Download logs for a module of a single component
D) Download logs for the specified host
2. According to the way of data acquisition in Flue, Source can be divided into driven Sourcet and( )Source.
A) polling
3. Elastic SearchofSowleadCanbystoragein a variety ofstorage classtype,andthe followingwherekind of storagekindtypebranchhold?
A) Local file system
B) HDFS
C) Shared file system
D) Object Storage
4. HUAWEI CLOUD MapReducel service provides tenants fully controllable - one-stop enterprise-level big data cluster cloud service, fully compatible with open source interfaces, combined with HUAWEI cloud computing, storage advantages and big data industry experience, to provide customers with high-performance, low-cost, The flexible and easy-to-use full-stack big data platform can easily run big data components such as Hadoop, Spark, HBase.Kafka, Storm, etC. Real-time and offline analysis and mining to discover new business opportunities.
A) True
B) False
5. The core concept of MapReduce is to decompose a large computing task into each node of the cluster to make full use of cluster resources to shorten the running time.
A) True
B) False
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: A |
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