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Huawei H13-711_V3.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Hive Distributed Data Warehouse10%- Hive architecture and components
- Hive data model and SQL
- Hive data storage and query execution
Topic 2: Flume Log Collection7%- Data collection workflow
- Flume architecture and components
Topic 3: Elasticsearch Search Engine5%- Architecture and indexing mechanism
- Full-text search and analysis
Topic 4: Big Data Development Trend & Kunpeng Big Data Solution3%- Big Data industry development trends
- Characteristics of big data
- Huawei Kunpeng big data overview
Topic 5: Kafka Messaging System9%- Kafka architecture and core concepts
- Message production and consumption
Topic 6: Loader Data Conversion5%- Loader functions and use cases
- Data import/export process
Topic 7: Flink Stream Processing Framework8%- Stream processing scenarios
- Flink architecture and data flow model
- Event time and window mechanism
Topic 8: Redis In-Memory Database5%- High availability and application scenarios
- Data types and storage structure
Topic 9: MapReduce & YARN12%- MapReduce programming model and workflow
- YARN architecture and resource scheduling
- Task execution and resource management
Topic 10: LDAP & Kerberos Security5%- Kerberos authentication process
- Unified authentication principles
Topic 11: Huawei Big Data Solution4%- FusionInsight HD/MRS overview
- Platform functions and industry cases
Topic 12: Spark Distributed Computing Framework12%- Spark SQL and Spark Streaming
- Spark task scheduling and optimization
- Spark architecture and RDD concept
Topic 13: HBase Distributed Database10%- HBase table design and application scenarios
- HBase read/write process
- HBase architecture and data model
Topic 14: HDFS & ZooKeeper12%- HDFS data storage and fault tolerance
- ZooKeeper architecture and coordination mechanism
- HDFS architecture and principles

Huawei HCIA-Big Data V3.0 Sample Questions:

1. The following are typical application scenarios of DWS

A) Trading System
B) CRM/ERP
C) data mart
D) Enterprise Data Warehouse


2. In Kafka, the following statement about the data sent by the Producer is wrong

A) Proucer can generate data by connecting to any normal Broker instance
B) The Producer is responsible for producing data, and the Consumer is responsible for consuming data. A connection needs to be established between the Producer and the Consumer.
C) Proucer can send data to both Broker and Consumer
D) As a message producer, Proucer can directly write data to Zookeeper


3. Which of the following are the built-in string functions of Hive?

A) substr()
B) length()
C) trim()
D) abs ()


4. All Zookeeper nodes can process requests

A) False
B) True


5. Data in FlumeCompression characteristics are mainlyYesFor which of the following purposes?

A) Enhanced security
B) lower gridI0
C) to mentionHigh reliability
D) lower diskI0


Solutions:

Question # 1
Answer: A,B,C,D
Question # 2
Answer: B,C,D
Question # 3
Answer: A,B,C
Question # 4
Answer: B
Question # 5
Answer: A

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