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Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Integration & Streaming | 15% | - Flume log collection architecture and configuration - Loader data migration and synchronization - Kafka message queue principles and usage |
| Topic 2: Distributed Storage & Coordination | 20% | - HBase architecture, data model and row-key design - ZooKeeper functions, architecture and application - HDFS architecture, principles and operations |
| Topic 3: Security & Other Components | 8% | - LDAP and Kerberos authentication mechanism - Elasticsearch and Redis overview |
| Topic 4: 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 |
| Topic 5: Data Warehouse & Query Engine | 18% | - Hive execution engines: MapReduce, Tez, Spark - Hive architecture, metastore, partitioning and bucketing - File formats: ORC, Parquet, SequenceFile |
| Topic 6: Huawei Big Data Platform & Solutions | 7% | - Typical big data solutions and use cases - FusionInsight/MRS architecture and components |
| Topic 7: Distributed Computing Framework | 22% | - Spark core concepts, RDD, DataFrame and Spark SQL - Flink stream processing fundamentals - YARN architecture, resource scheduling and management - MapReduce programming model and workflow |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. Which of the following is not a mandatory option when creating a Loader job?
A) priority
B) type
C) name
D) connect
2. Which of the following statements about the interaction between F1ink and other components is correct?
A) Flink can send received components to Kafka
B) The running of Flink tasks relies on YARN for resource scheduling and management
C) The implementation of Flink's checkpoint relies on Zookeeper
D) Flink reads and writes data in HDFS file system
3. Which of the following scenarios is Sparki suitable for?
A) graph computation
B) Interactive query
C) batch processing
D) real-time stream processing
4. Map Reducein MaThe combine in stage p is a pre-grouping process and is optional.
A) FALSE
B) TRUE
5. HBasoTo achieve the scale of bench drills with billions of accidents and millions of columns, which of the following options is required?
A) Redis
B) ElasticSearch
C) HDFS
D) kafka
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B,C,D | Question # 3 Answer: A,B,C,D | Question # 4 Answer: A | Question # 5 Answer: C |



