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Huawei H13-723-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Data ingestion and lakehouse formats - Hive development: UDF/UDAF/UDTF, ACID, optimization - Spark development: RDD, DataFrame, Catalyst, AQE |
| Topic 2: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Apache Phoenix SQL and indexing - GaussDB(DWS) data warehouse - HBase design, coprocessors, optimization - Elasticsearch, SolrCloud, CarbonData usage |
| Topic 3: Big Data Application Development Overall Guide | 15% | - FusionInsight HD architecture and components - Big data architecture: Lambda and Kappa - HDFS advanced features and YARN scheduling - Security framework: Kerberos, Ranger, ZooKeeper |
| Topic 4: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Flink SQL and CEP - Spark Structured Streaming - Apache Flink: event time, windowing, state, checkpoint - Kafka integration and transactions |
Huawei HCIP-Big Data Developer Sample Questions:
1. In MapReduce application development, which of the following JAVA classes is responsible for managing and running a computing task?
A) Configuration
B) lob
C) FileSystem
D) Context
2. When Flume writes into HDFS, what are the file generation methods? (multiple choice)
A) Set the file generation time interval. When the time interval is reached, the old file will be closed and the new data will be written into the new file
B) According to the source file name, directly generate the file
C) Set the number of events stored in a single file. When the number of events stored in the file reaches the set value, the old file will be closed and the new data will be written to the new file
D) Set the size of a single file. When the file size reaches the set value, the old file will be closed and the new data will be written into the new file
3. Regarding the flow of data in Flume, which of the following descriptions is correct?
A) (1) Data from source to channel; (2) Sink gets data from channel
B) (1) Data from channle to source; (2) Sink gets data from source
C) (1) Data from sink to channle; (2) Source gets data from channel
D) (1) Data from channle to source; (2) Sink gets data from source
4. In the V100R002C60 version of the FusionInsight HD system, Hive only supports query services based on the MapReduce engine, and does not support query services based on the Spark engine.
A) True
B) False
5. When HDFS is running, the NameNode will load all the metadata of the file system from the disk to the memory. Therefore, the total number of files that the file system can store is limited by the memory capacity of the NameNode.
A) True
B) False
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,B,C,D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
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