Huawei H13-711-ENU Exam Information and Actual 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: Sep 06, 2026

H13-711-ENU
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Huawei
H13-711-ENU Exam
HCIA-Big Data(Huawei Certified ICT Associate-Big Data)

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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
Exam Duration:90 minutes
Exam Price:$200 USD
Related Certifications:HCIA-Big Data
Exam Format:Single Choice, True/False, Multiple Choice
Available Languages:English, Chinese
Certificate Validity Period:3 years
Real Exam Qty:60-70
Passing Score:600/1000
Sample Questions:Huawei H13-711-ENU Sample Questions
Exam Way:Pearson VUE test center or online proctored exam
Pre Condition:No formal prerequisite. Basic knowledge of Linux, databases, and distributed computing is recommended.
Official Syllabus URL:https://edu.huaweicloud.com/intl/en-us/certificationindex/career/bde.html

Huawei H13-711-ENU Exam Syllabus Topics:

SectionWeightObjectives
Big Data Storage and Query20%- HBase
  • 1. NoSQL Concepts
  • 2. HBase Data Model
- Hive
  • 1. HiveQL
  • 2. Hive Architecture
Huawei Big Data Platform20%- MRS
  • 1. MapReduce Service
  • 2. Cloud Big Data Solutions
- FusionInsight
  • 1. Cluster Deployment
  • 2. Cluster O&M
  • 3. FusionInsight Components
MapReduce and Computing Framework15%- Spark
  • 1. Spark Core
  • 2. Spark Streaming
  • 3. Spark SQL
- MapReduce
  • 1. MapReduce Processing Flow
  • 2. Job Execution Mechanism
Data Collection and Messaging15%- Kafka
  • 1. Producer and Consumer
  • 2. Kafka Architecture
- Flume
  • 1. Log Collection
  • 2. Data Transmission
Hadoop Distributed System20%- YARN
  • 1. Cluster Resource Management
  • 2. Task Scheduling
- HDFS
  • 1. HDFS Architecture
  • 2. Fault Tolerance
  • 3. Data Storage Mechanism
Big Data Overview10%- Big Data Concepts
  • 1. Big Data Application Scenarios
  • 2. Big Data Characteristics
  • 3. Big Data Industry Trends


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