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Updated: Jul 18, 2026
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| Certification Vendor: | Huawei |
| Exam Name: | Huawei Certified ICT Associate - Big Data V3.0 |
| Exam Number: | H13-711_V3.0-ENU |
| Real Exam Qty: | 60 |
| Exam Format: | Single-choice, Multiple-choice, True/False, Fill-in-the-blank, Drag-and-drop |
| Certificate Validity Period: | 3 years |
| Available Languages: | English, Chinese |
| Passing Score: | 600 / 1000 |
| Related Certifications: | HCIP-Big Data Developer HCIE-Big Data |
| Exam Price: | USD 200 |
| Exam Duration: | 90 minutes |
| Recommended Training: | Huawei FusionInsight MRS Documentation HCIA-Big Data V3.0 Official Training |
| Exam Registration: | Pearson VUE Registration Huawei Talent Official Portal |
| Sample Questions: | Huawei H13-711_V3.0-ENU Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended basic Linux and Hadoop knowledge |
| Official Syllabus URL: | https://e.huawei.com/en/talent/cert/#/certDetail/H13-711_V3.0 |
| Section | Weight | Objectives |
|---|---|---|
| Data Warehouse & Query Engine | 18% | - File formats: ORC, Parquet, SequenceFile - Hive execution engines: MapReduce, Tez, Spark - Hive architecture, metastore, partitioning and bucketing |
| Security & Other Components | 8% | - Elasticsearch and Redis overview - LDAP and Kerberos authentication mechanism |
| Big Data Industry Overview & Basic Concepts | 10% | - Big data application scenarios and challenges - Huawei Kunpeng big data ecosystem - Development trends and characteristics of big data |
| Distributed Storage & Coordination | 20% | - HDFS architecture, principles and operations - HBase architecture, data model and row-key design - ZooKeeper functions, architecture and application |
| Distributed Computing Framework | 22% | - Flink stream processing fundamentals - Spark core concepts, RDD, DataFrame and Spark SQL - YARN architecture, resource scheduling and management - MapReduce programming model and workflow |
| Data Integration & Streaming | 15% | - Loader data migration and synchronization - Flume log collection architecture and configuration - Kafka message queue principles and usage |
| Huawei Big Data Platform & Solutions | 7% | - FusionInsight/MRS architecture and components - Typical big data solutions and use cases |
1. The driver in Spark On YARN mode can only run on the client.
A) True
B) False
2. HiveManaged tables and external tables can be created, which of the following descriptions is correct for both types of tables?
A) When using managed tables, execute DRWhen the OP operates, the metadata and data will bedelete
B) When using managed tables, perform DROWhen P operates,just delete the originaldata
C) When using an external table, when performing a DROP operation, onlydeletemetadata
D) When using an external table, metadata and data are combined when performing a DROP operationdelete
3. Big data requires the transformation of traditional industry thinking. Data collection and analysis should be regarded as an important part of business processes. The data end drives business process optimization, realizes intelligence and automation, and relies on data assets to achieve cross-border expansion
A) True
B) False
4. What types of data sources does F1ink stream processing include?
A) Files
B) Socket streams
C) Ccollections
D) JDBC
5. F? ?middle is ten? ?Lightweight?of?Technology provides Cha? ?mechanism, distributed snapshots can? ?Tap Taak/Opara? ?The state data of the global unified snapshot processing.
A) FALSE
B) TRUE
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,C | Question # 3 Answer: A | Question # 4 Answer: A,B,C | Question # 5 Answer: A |
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