Huawei HCIA-Big Data V3.0 : H13-711_V3.0

  • Exam Code: H13-711_V3.0
  • Exam Name: HCIA-Big Data V3.0
  • Updated: Jul 26, 2026
  • Q & A: 646 Questions and Answers

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About Huawei HCIA-Big Data V3.0 : H13-711_V3.0 Exam

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Huawei H13-711_V3.0 Exam Syllabus Topics:

SectionWeightObjectives
Hive Distributed Data Warehouse10%- Hive data model and SQL
- Hive data storage and query execution
- Hive architecture and components
HDFS & ZooKeeper12%- ZooKeeper architecture and coordination mechanism
- HDFS architecture and principles
- HDFS data storage and fault tolerance
Kafka Messaging System9%- Message production and consumption
- Kafka architecture and core concepts
Flink Stream Processing Framework8%- Event time and window mechanism
- Flink architecture and data flow model
- Stream processing scenarios
MapReduce & YARN12%- MapReduce programming model and workflow
- YARN architecture and resource scheduling
- Task execution and resource management
Redis In-Memory Database5%- High availability and application scenarios
- Data types and storage structure
Loader Data Conversion5%- Data import/export process
- Loader functions and use cases
Spark Distributed Computing Framework12%- Spark SQL and Spark Streaming
- Spark task scheduling and optimization
- Spark architecture and RDD concept
Elasticsearch Search Engine5%- Architecture and indexing mechanism
- Full-text search and analysis
Flume Log Collection7%- Flume architecture and components
- Data collection workflow
LDAP & Kerberos Security5%- Unified authentication principles
- Kerberos authentication process
Big Data Development Trend & Kunpeng Big Data Solution3%- Huawei Kunpeng big data overview
- Characteristics of big data
- Big Data industry development trends
Huawei Big Data Solution4%- Platform functions and industry cases
- FusionInsight HD/MRS overview
HBase Distributed Database10%- HBase table design and application scenarios
- HBase read/write process
- HBase architecture and data model

Huawei HCIA-Big Data V3.0 Sample Questions:

1. What is the default resource scheduler in YARN?


2. The following provides a variety of Redist optimization practices, which option is wrong?

A) Modify the minimum number of tcp connections in 1linux
B) Condensed key names and key values
C) closecloseTransparent Huge Pages
D) Modify the linux kernel memory allocation strategy or execute sysctl


3. Hive is a data warehouse infrastructure built on Hadoop. It provides a set of tools that can be used to perform extract-transform-load (ETL), a mechanism for storing, querying, and analyzing large-scale data stored in Hadoop.

A) True
B) False


4. Regarding the basic operation of Hive table building, which is the correct description?

A) Once the table is created, the table name cannot be changed
B) Once the table is created, the column names cannot be changed
C) When creating an external table, you need to specify the external keyword
D) Once the table is created, no new columns can be added


5. The following figure shows the label storage strategy of HDFS. Observe the figure below, which data nodes will HBasel data be stored on

A) DataNode B
B) DataNode E
C) DataNode A
D) DataNode F


Solutions:

Question # 1
Answer: Only visible for members
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: A,C

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