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Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Real-time stream processing frameworks (Flume, Kafka, Spark Streaming, Flink) - Stream data ingestion and processing - Streaming use cases and configuration |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - Real-time retrieval solution components - Distributed database concepts (HBase, Elasticsearch, GES) - Real-time query optimization |
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - Offline batch processing solutions - HDFS and Hive fundamentals - Spark SQL and data ingestion tools (Loader, Sqoop, Kettle) |
| Big Data Application Development Overall Guide | 15% | - Big data concepts and architecture - Big data scenario-based solutions - Application development fundamentals |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
1. In Kafka, which statement about Consumer is correct? (multiple choice)
A) When multiple Consumers are configured with the same group.id, the data consumed by these Consumers will not be repeated
B) Consumer mainly conducts data consumption
C) The new ConsumerAPI consumption data does not need to specify the ZooKeeper address
D) Topic needs to be specified when Consumer consumes data
2. Spark Streaming can receive data from Kafka and perform calculations. The calculation results can only be stored in HDFS and cannot be written back to Kafka.
A) True
B) False
3. Which distributed computing frameworks can the Hive component of FusionInsigt HD run on? (multiple choice)
A) Spark
B) HDFS
C) Streaming
D) MapReduoe
4. In the online log query solution, stream processing is used to complete the calculation. During the entire calculation process, intermediate calculation results need to be temporarily stored. Which of the following components is suitable for storing intermediate calculation results? (multiple choice)
A) Redis
B) HBase
C) Kafka
D) HDfS
5. In FusionInsight HD, regarding Hive's data loading function (importing data through Hive's LOAD command), what is wrong in the following description?
A) It can be directly loaded to the hive table from the local hard disk of the node where HiveServer is located
B) Hive's data loading process will not parse the specific file content, mainly the process of file transfer
C) It can be directly loaded to the hive table from the local hard disk of the node where the client is located
D) It can be loaded directly to the hive table from HDFS
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: B | Question # 3 Answer: A,D | Question # 4 Answer: A,C | Question # 5 Answer: C |



