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Updated: Aug 15, 2026
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| Certification Vendor: | Huawei |
| Exam Name: | Huawei Certified ICT Associate - Big Data V3.5 |
| Exam Number: | H13-711_V3.5 |
| Real Exam Qty: | 60 |
| Related Certifications: | HCIP-Big Data HCIE-Big Data |
| Exam Duration: | 90 minutes |
| Exam Format: | Single-choice, Multiple-choice, True/False, Short answer, Drag and drop |
| Available Languages: | English, Chinese, Spanish |
| Certificate Validity Period: | 3 years |
| Passing Score: | 600/1000 |
| Exam Price: | USD 200 |
| Recommended Training: | HCIA-Big Data V3.5 Official Training Course |
| Exam Registration: | Huawei Talent Online Pearson VUE Registration |
| Sample Questions: | Huawei H13-711_V3.5 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Basic knowledge of Linux operation and Hadoop principles is recommended; no mandatory prerequisites |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification/exam/h13-711_v3.5 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Industry Overview & Basic Concepts | 8% | - Application scenarios and value of big data - Development trend and characteristics of big data - Huawei Kunpeng big data ecosystem |
| Topic 2: Spark & Flink | 20% | - Flink stream processing, architecture, API and application development - Spark core architecture, RDD, DataFrame, SQL and streaming processing |
| Topic 3: Huawei Big Data Platform MRS & DataArts Studio | 8% | - Typical industry solutions and cases - MRS platform architecture, components and operation - DataArts Studio data development and governance |
| Topic 4: HDFS & ZooKeeper | 12% | - ZooKeeper core functions and working mechanism - HDFS architecture, principle and operation |
| Topic 5: Flume & Kafka | 12% | - Flume data collection mechanism and configuration - Kafka message system, storage, transmission and application |
| Topic 6: ClickHouse & Elasticsearch | 8% | - Elasticsearch search engine, indexing and analysis - ClickHouse architecture, storage and query features |
| Topic 7: MapReduce & YARN | 12% | - YARN architecture, resource scheduling and management - MapReduce programming model and execution process |
| Topic 8: HBase & Hive | 20% | - Hive data warehouse principle, table design, SQL and optimization - HBase architecture, data model, design and operation |
1. Which of the following commands can clear the data of all databases under the Redis instance?
A) dropall
B) flushdb
C) dropdb
D) flushall
2. The HDFS data reading process includes the following steps, please select the correct order.
A) The client calls close to close the input stream
B) Obtain the storage location of the data block corresponding to this file in NameNode by calling NameNode remotely through RPC
C) If the end of the data block has been reached, then close the connection to the DataNode, and then search for the next data block again until all the data is read
D) The client calls the open method of the FileSystem instance to obtain the input stream corresponding to the file
E) After obtaining this input stream, the client calls the read method to read the data. The input stream selects the nearest DataNode to establish a connection and read data
3. When a RegionServer fails, the Region on the failed RegionServer is migrated by ().
4. During the data transmission process of Flume, after the Sink takes the data and writes it to the destination, it will delete the events from the channel.
A) True
B) False
5. What are the main characteristics of technologies related to big data analysis? (Multiple choice)
A) Machine learning, full features
B) Based on massive data
C) Based on exact samples
D) Event correlation analysis behind the data
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B,C,D,E | Question # 3 Answer: Only visible for members | Question # 4 Answer: A | Question # 5 Answer: A,B,D |
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