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The Huawei H13-711_V3.0 exam consists of 60 questions and has a time limit of 90 minutes. The questions are multiple-choice and require the candidate to choose the best answer from a set of options. H13-711_V3.0 exam is available in both English and Chinese languages. H13-711_V3.0 exam fee is $150, and it can be taken at any authorized Huawei testing center.
Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| Huawei Big Data Solution | 4% | - FusionInsight HD/MRS overview - Platform functions and industry cases |
| Flink Stream Processing Framework | 8% | - Event time and window mechanism - Flink architecture and data flow model - Stream processing scenarios |
| HDFS & ZooKeeper | 12% | - HDFS architecture and principles - HDFS data storage and fault tolerance - ZooKeeper architecture and coordination mechanism |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Big Data industry development trends - Characteristics of big data - Huawei Kunpeng big data overview |
| HBase Distributed Database | 10% | - HBase table design and application scenarios - HBase architecture and data model - HBase read/write process |
| MapReduce & YARN | 12% | - Task execution and resource management - MapReduce programming model and workflow - YARN architecture and resource scheduling |
| Spark Distributed Computing Framework | 12% | - Spark architecture and RDD concept - Spark SQL and Spark Streaming - Spark task scheduling and optimization |
| Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
| Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Hive Distributed Data Warehouse | 10% | - Hive data model and SQL - Hive architecture and components - Hive data storage and query execution |
| Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| LDAP & Kerberos Security | 5% | - Unified authentication principles - Kerberos authentication process |
