Pass the actual test with the help of H13-711_V3.5 study guide
Updated: Oct 17, 2026
No. of Questions: 512 Questions & Answers with Testing Engine
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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 |
| Exam Price: | USD 200 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 600/1000 |
| Related Certifications: | HCIE-Big Data HCIP-Big Data |
| Exam Format: | Multiple-choice, True/False, Single-choice, Drag and drop, Short answer |
| Exam Duration: | 90 minutes |
| Available Languages: | Chinese, English, Spanish |
| 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 |
|---|---|---|
| Huawei Big Data Platform MRS & DataArts Studio | 8% | - Typical industry solutions and cases - DataArts Studio data development and governance - MRS platform architecture, components and operation |
| MapReduce & YARN | 12% | - MapReduce programming model and execution process - YARN architecture, resource scheduling and management |
| Spark & Flink | 20% | - Spark core architecture, RDD, DataFrame, SQL and streaming processing - Flink stream processing, architecture, API and application development |
| Flume & Kafka | 12% | - Flume data collection mechanism and configuration - Kafka message system, storage, transmission and application |
| ClickHouse & Elasticsearch | 8% | - Elasticsearch search engine, indexing and analysis - ClickHouse architecture, storage and query features |
| HDFS & ZooKeeper | 12% | - HDFS architecture, principle and operation - ZooKeeper core functions and working mechanism |
| HBase & Hive | 20% | - Hive data warehouse principle, table design, SQL and optimization - HBase architecture, data model, design and operation |
| Big Data Industry Overview & Basic Concepts | 8% | - Development trend and characteristics of big data - Application scenarios and value of big data - Huawei Kunpeng big data ecosystem |
Hive is a hadoop-based data warehouse software that can query and manage PB-level distributed data. Which of the following descriptions about Hive features is wrong?
Correct Answer: A 🗳️
The core concept of MapReduce is to decompose a large computing task to each node of the cluster, make full use of cluster resources, and shorten the running time.
Correct Answer: A 🗳️
Which of the following sub-products does the Fusioninsight family include? (Multiple choice)
Correct Answer: A,B,C,D 🗳️
In the Hadoop system, if the backup factor of the HDFS file system is 3, then each time MapReduce runs the Task, it must transfer the file segments to be processed from 3 machines with copies.
Correct Answer: B 🗳️
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