H13-711_V3.0-ENU Exam Dumps
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| Certification Provider: | Huawei |
|---|---|
| Exam Code / Number: | H13-711_V3.0-ENU |
| Exam Name: | HCIA-Big Data V3.0 |
| Exam Questions: | 646 |
| Last Updated: | Jul 05, 2026 |
| Corresponding Certification: | HCIA-Big Data |
Go To H13-711_V3.0-ENU Questions
(438 Up Votes)Huawei H13-711_V3.0-ENU: HCIA-Big Data V3.0 exam consists of 60 multiple choice questions that the candidates need to complete within 90 minutes. The passing score for H13-711_V3.0-ENU exam is 600 out of a total of 1000 marks. H13-711_V3.0-ENU exam questions are designed to test the knowledge of the candidates in different areas of Big Data such as the architecture of Big Data solutions, data modeling, data analytics, and data mining.
Huawei H13-711_V3.0-ENU certification exam covers a wide range of topics, including big data basics, big data storage and processing, big data analysis and applications, and big data security. H13-711_V3.0-ENU exam also includes hands-on lab exercises that require candidates to demonstrate their ability to work with big data tools and technologies. H13-711_V3.0-ENU exam is conducted in a proctored environment, and candidates are required to pass the exam to earn the HCIA-Big Data V3.0 certification.
Huawei H13-711_V3.0-ENU certification exam covers a wide range of topics related to big data, including data modeling, data analysis, data processing, and data visualization. Professionals who pass the exam will have a deep understanding of big data technologies and how they can be used to solve complex business problems. They will also be able to design and implement big data solutions that are scalable, reliable, and secure.
To be eligible for the Huawei H13-711_V3.0-ENU (HCIA-Big Data V3.0) Certification Exam, candidates should have a basic understanding of big data concepts and technologies. They should also have practical experience in big data application development and maintenance. H13-711_V3.0-ENU exam consists of 60 multiple-choice questions and has a duration of 90 minutes. The passing score for the exam is 600 out of 1000 points.
Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Loader Data Conversion | 5% | - Loader functions and use cases - Data import/export process |
| Redis In-Memory Database | 5% | - Data types and storage structure - High availability and application scenarios |
| Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| HBase Distributed Database | 10% | - HBase table design and application scenarios - HBase architecture and data model - HBase read/write process |
| Hive Distributed Data Warehouse | 10% | - Hive data model and SQL - Hive data storage and query execution - Hive architecture and components |
| Spark Distributed Computing Framework | 12% | - Spark task scheduling and optimization - Spark SQL and Spark Streaming - Spark architecture and RDD concept |
| Elasticsearch Search Engine | 5% | - Architecture and indexing mechanism - Full-text search and analysis |
| Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| MapReduce & YARN | 12% | - Task execution and resource management - YARN architecture and resource scheduling - MapReduce programming model and workflow |
| HDFS & ZooKeeper | 12% | - HDFS architecture and principles - ZooKeeper architecture and coordination mechanism - HDFS data storage and fault tolerance |
| Huawei Big Data Solution | 4% | - FusionInsight HD/MRS overview - Platform functions and industry cases |
| Flink Stream Processing Framework | 8% | - Event time and window mechanism - Stream processing scenarios - Flink architecture and data flow model |
| LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Big Data industry development trends - Characteristics of big data - Huawei Kunpeng big data overview |