Huawei H13-711-ENU Exam Details & Actual Exam Questions

  • Exam Code/Number: H13-711-ENU
  • Exam Name/Title: HCIA-Big Data(Huawei Certified ICT Associate-Big Data)
  • Certification Provider: Huawei
  • Corresponding Certification: HCNA-Big Data
  • Exam Questions: 500
  • Updated On: Jul,13 2026
  • Certification Level: Associate

Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Exam Questions

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Huawei H13-711-ENU Exam Overview:

Certification Vendor:Huawei
Exam Name:HCIA-Big Data (Huawei Certified ICT Associate - Big Data)
Exam Number:H13-711-ENU
Passing Score:600/1000
Real Exam Qty:Approx. 60
Available Languages:English, Chinese
Certificate Validity Period:3 years
Related Certifications:HCIP-Big Data
HCIE-Big Data
Exam Format:Single choice, Multiple choice, True/False
Exam Duration:90 minutes
Sample Questions:Huawei H13-711-ENU Sample Questions
Exam Way:Proctored exam via Pearson VUE or authorized Huawei exam centers / online proctoring (availability varies by region)
Pre Condition:Basic ICT knowledge recommended; no strict prerequisite certification required
Official Syllabus URL:https://e.huawei.com/en/talent/certification

Huawei H13-711-ENU Exam Syllabus Topics:

SectionObjectives
Data Ingestion and Integration- Data Collection Technologies
  • 1. Basic concepts of Kafka and message queues
    Hadoop Ecosystem- HDFS
    • 1. HDFS architecture and components
      • 2. Data storage and replication mechanism
        - YARN
        • 1. Resource management principles
          - MapReduce
          • 1. MapReduce processing model
            • 2. Job execution flow
              Big Data Storage and Processing- Distributed Computing
              • 1. Spark basic architecture and usage
                - Data Warehousing and Query
                • 1. Hive fundamentals and SQL-based processing
                  Big Data Operation and Security- Cluster Management
                  • 1. Basic cluster monitoring and maintenance
                    - Data Security
                    • 1. Access control and data protection basics
                      Big Data Fundamentals- Introduction to Big Data
                      • 1. Big data application scenarios
                        • 2. Big data concepts and characteristics


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