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 09, 2026

Q & A: 500 Questions and Answers

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H13-711-ENU exam dumps

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

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

1. Which of the following statements about CarbonData in Fusioninsight is correct? (Multiple choice)

A) Carbon uses a combination of lightweight compression and heavyweight compression to compress data, which can reduce data storage space by 60%-80%, greatly saving hardware storage costs.
B) carbon is a new Apache Hadoop native file format that uses advanced columnar storage, indexing, compression, and encoding technologies to improve computing efficiency, helping to accelerate data queries exceeding the order of magnitude of PB, and can be used for faster interactions Inquire.
C) The purpose of using carbon is to provide ultra-fast response to big data ad hoc queries.
D) Carbon is also a high-performance analysis engine that integrates data sources with spark.


2. Spark and Hadoop are equally unsuitable for generational computing.

A) False
B) True


3. Which of the following options are used to configure the number of memory and CPU of NodeManager? (Multiple choice)

A) YARN.modemanager.resource.memory-mb
B) YARN.nodemanager.resource.cpu-vcore
C) YARN.scheduler.capacity.root.Queuemaximum-capacity
D) YARN.nodemanager.vmem-pmom-ratio


4. Spark's intermediate data is placed in memory, which is more efficient and has higher latency for iterative operations and batch calculations.

A) False
B) True


5. Which two roles are responsible for the active and standby state management of the NameNode node and the merging of metadata files in HDFS?

A) Primary NameNode and JournalNode
B) Active NameNode and Standby NameNode
C) ZKFC and Standby NameNode
D) ZKFC and master NameNode


Solutions:

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

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