Huawei HCIA-Big Data V2.0 H13-711 Certified Exam Dumps

H13-711 Exam Dumps

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Certification Provider: Huawei
Exam Code / Number: H13-711
Exam Name: HCIA-Big Data V2.0
Exam Questions: 195
Last Updated: Aug 16, 2026
Corresponding Certification: HCIA-Big Data

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The HCIA-Big Data certification exam covers a wide range of topics, including big data basics, Hadoop, Spark, Hive, HBase, and Flume. H13-711 exam is divided into two parts: the written exam and the lab exam. The written exam tests your theoretical knowledge of big data technologies, while the lab exam evaluates your practical skills in using these technologies to solve real-world problems.

Huawei H13-711 (HCIA-Big Data V2.0) exam is a certification exam designed for individuals who want to demonstrate their skills and knowledge in big data technologies. H13-711 exam is intended for IT professionals, data analysts, and data scientists who want to validate their skills in big data technologies and solutions. Passing H13-711 exam is a prerequisite for obtaining the HCIA-Big Data certification.

Huawei H13-711 (HCIA-Big Data V2.0) Certification Exam is a professional certification that showcases a candidate's deep understanding of big data technologies and skillful application of them. HCIA-Big Data V2.0 certification exam is designed for IT professionals who wish to deepen their knowledge of big data and gain hands-on experience on big data applications, database management systems, knowledge graphs, and machine learning/theory. HCIA-Big Data V2.0 certification exam requires an in-depth knowledge of the HCIA-big data V2.0 curriculum, which includes topics such as big data architecture, Hadoop Distributed File System (HDFS), MapReduce programming, Hadoop Ecosystem applications, data mining, and advanced big data applications.

Huawei H13-711 Exam Syllabus Topics:

SectionObjectives
Data Storage and Processing- Distributed Storage
  • 1. HDFS Data Management
    • 2. Data Replication Mechanism
      - Data Processing Frameworks
      • 1. Batch Processing Concepts
        • 2. Spark Basics
          Data Ingestion and Integration- Data Collection Tools
          • 1. Flume Overview
            • 2. Kafka Fundamentals
              Hadoop Ecosystem- Core Components
              • 1. HDFS Architecture and Principles
                • 2. MapReduce Processing Model
                  Big Data Fundamentals- Introduction to Big Data Concepts
                  • 1. Characteristics of Big Data
                    • 2. Big Data Architecture Overview
                      Data Analysis and Query- Query Tools
                      • 1. Hive Basics
                        • 2. SQL on Big Data


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