Huawei H13-711-ENU Questions & Answers - in .pdf
- Total Q&A: 500
- Update: Aug 13, 2026
- Price: $59.99
- Vendor: Huawei
- Exam Code: H13-711-ENU
- Exam Name: HCIA-Big Data(Huawei Certified ICT Associate-Big Data)
- Features:
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- Exact Huawei H13-711-ENU Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.
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Huawei H13-711-ENU Q&A - Testing Engine
- Total Q&A: 500
- Update: Aug 13, 2026
- Price: $59.99
- Vendor: Huawei
- Exam Code: H13-711-ENU
- Exam Name: HCIA-Big Data(Huawei Certified ICT Associate-Big Data)
- Features:
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Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|
| Big Data Fundamentals | - Introduction to Big Data
- 1. Big data application scenarios
- 2. Big data concepts and characteristics
|
| Big Data Operation and Security | - Data Security
- 1. Access control and data protection basics
- Cluster Management
- 1. Basic cluster monitoring and maintenance
|
| Big Data Storage and Processing | - Distributed Computing
- 1. Spark basic architecture and usage
- Data Warehousing and Query
- 1. Hive fundamentals and SQL-based processing
|
| Data Ingestion and Integration | - Data Collection Technologies
- 1. Basic concepts of Kafka and message queues
|
| Hadoop Ecosystem | - HDFS
- 1. Data storage and replication mechanism
- 2. HDFS architecture and components
- MapReduce
- 1. MapReduce processing model
- 2. Job execution flow
- YARN
- 1. Resource management principles
|
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
1. Which of the following types of data is not semi-structured data?
A) XML
B) HTML
C) Two-dimensional table
D) JSON
2. 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 can realize low-latency and fast query on large-scale data sets
C) 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
D) The best usage scenario of Hive is the batch processing job of large data sets
3. Flink is a computing framework combining batch processing and stream processing. Its core is a stream data processing engine for data classification and parallel computing.
A) False
B) True
4. There are two ways to clean up Kafka logs: delete and compact. The default value is delete.
A) False
B) True
5. In the Fusioninsight HD system, which of the following methods cannot view the results of the Loader job execution?
A) View through NodeManager
B) View through the Manager's alarm
C) Via the YARN task Richard Suga
D) Check through the Loader UI interface
Solutions:
Question # 1
Answer: C | Question # 2
Answer: B | Question # 3
Answer: B | Question # 4
Answer: B | Question # 5
Answer: A |
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