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Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
| Topic 2: Elasticsearch Search Engine | 5% | - Architecture and indexing mechanism - Full-text search and analysis |
| Topic 3: Flume Log Collection | 7% | - Flume architecture and components - Data collection workflow |
| Topic 4: HBase Distributed Database | 10% | - HBase architecture and data model - HBase table design and application scenarios - HBase read/write process |
| Topic 5: MapReduce & YARN | 12% | - MapReduce programming model and workflow - Task execution and resource management - YARN architecture and resource scheduling |
| Topic 6: HDFS & ZooKeeper | 12% | - ZooKeeper architecture and coordination mechanism - HDFS data storage and fault tolerance - HDFS architecture and principles |
| Topic 7: Huawei Big Data Solution | 4% | - Platform functions and industry cases - FusionInsight HD/MRS overview |
| Topic 8: Kafka Messaging System | 9% | - Kafka architecture and core concepts - Message production and consumption |
| Topic 9: Hive Distributed Data Warehouse | 10% | - Hive data storage and query execution - Hive architecture and components - Hive data model and SQL |
| Topic 10: Spark Distributed Computing Framework | 12% | - Spark SQL and Spark Streaming - Spark architecture and RDD concept - Spark task scheduling and optimization |
| Topic 11: Flink Stream Processing Framework | 8% | - Stream processing scenarios - Flink architecture and data flow model - Event time and window mechanism |
| Topic 12: LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| Topic 13: Redis In-Memory Database | 5% | - Data types and storage structure - High availability and application scenarios |
| Topic 14: Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Big Data industry development trends - Huawei Kunpeng big data overview - Characteristics of big data |
Huawei HCIA-Big Data V3.0 Sample Questions:
Question 1
In the process of using Flume to transmit data, in order to prevent data loss due to the restart of the Flume process. Which of the following Channel types can be used
A. HDES Channel
B. Memory Channel
C. JDBC Channel
D. File Channel
Question 2
How many blocks are saved in HDFS by default in the FusionlnsightHD system?
A. uncertain
B. 3
C. 2
D. 1
Question 3
Which of the following two methods are used for cleaning logs in Kafka?
A. update
B. remove
C. compact
D. delete
Question 4
Which of the following options is an advantage of Kerberos?
A. Support two-way authentication
B. prevent replay attacks
C. Has high performance
D. Able to prevent brute force
Question 5
Regarding Flume, which of the following statements is false?
A. Data transfer between Flume cascade nodes does not support compression
B. There is a need for encryption inside processes such as Source to Channel to Sink
C. Data transfer between Flume cascade nodes supports encryption
D. Flume supports multi-cascading and multiplexing
Solutions:
| Question 1 Answer: C,D | Question 2 Answer: B | Question 3 Answer: C,D | Question 4 Answer: A,B,C,D | Question 5 Answer: A,B |
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