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

  • Exam Code: H13-711-ENU
  • Exam Name: HCIA-Big Data(Huawei Certified ICT Associate-Big Data)
  • Updated: Aug 23, 2026
  • Q&As: 500 Questions and Answers

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Huawei H13-711-ENU Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Big Data Overview10%- Big Data Concepts
  • 1. Big Data Application Scenarios
  • 2. Big Data Industry Trends
  • 3. Big Data Characteristics
Topic 2: Huawei Big Data Platform20%- FusionInsight
  • 1. FusionInsight Components
  • 2. Cluster Deployment
  • 3. Cluster O&M
- MRS
  • 1. MapReduce Service
  • 2. Cloud Big Data Solutions
Topic 3: Hadoop Distributed System20%- HDFS
  • 1. Fault Tolerance
  • 2. Data Storage Mechanism
  • 3. HDFS Architecture
- YARN
  • 1. Cluster Resource Management
  • 2. Task Scheduling
Topic 4: MapReduce and Computing Framework15%- Spark
  • 1. Spark SQL
  • 2. Spark Core
  • 3. Spark Streaming
- MapReduce
  • 1. Job Execution Mechanism
  • 2. MapReduce Processing Flow
Topic 5: Big Data Storage and Query20%- HBase
  • 1. HBase Data Model
  • 2. NoSQL Concepts
- Hive
  • 1. Hive Architecture
  • 2. HiveQL
Topic 6: Data Collection and Messaging15%- Kafka
  • 1. Kafka Architecture
  • 2. Producer and Consumer
- Flume
  • 1. Log Collection
  • 2. Data Transmission

Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:

1. Which of the following HDFS commands can be used to check the integrity of a data block?

A) HDFS fsck
B) HDFS fsck -delete
C) HDFS balancer-threshold 1
D) HDFS dfsadmin -report


2. Spark, like Hadoop, is not suitable for iterative computing.

A) True
B) False


3. Which of the following programming languages is implemented in Spark?

A) Scala
B) C
C) C++
D) JAVA


4. Which statement about HIVE is wrong?

A) The Hive query operation process strictly follows the Hadoop MapReduce role execution model. Hive converts the user's HiveQL statement to the MapReduce Hadoop cluster through the interpreter.
B) Hive is built on Hadoop based on static batch processing. Hadoop usually has high latency and requires a lot of overhead when submitting and scheduling
C) The best usage scenario of Hive is the batch processing job of large data sets
D) Hive can realize low-latency and fast query on large-scale data sets


5. Which of the following descriptions about FusionInsight multi-tenant management is correct? (Multiple choice)

A) Visual multi-level tenant management, which matches the organizational structure of the enterprise and simplifies system resource allocation and management
B) A multi-level tenant model that matches the organizational structure of the enterprise. Different departments correspond to different tenants, and tenants can be dynamically added or deleted as needed.
C) One-stop management of tenant resources, computing resources (CPU/memory/IO), storage resources (HDFS), service resources (HBase...)
D) Isolation of tenant resources based on container mechanism to protect tenant SLA


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: A
Question # 4
Answer: D
Question # 5
Answer: A,B,C,D

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