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Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and Hive fundamentals - Spark SQL and data ingestion tools (Loader, Sqoop, Kettle) - Offline batch processing solutions |
| Topic 2: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Streaming use cases and configuration - Real-time stream processing frameworks (Flume, Kafka, Spark Streaming, Flink) - Stream data ingestion and processing |
| Topic 3: Big Data Application Development Overall Guide | 15% | - Big data concepts and architecture - Application development fundamentals - Big data scenario-based solutions |
| Topic 4: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Distributed database concepts (HBase, Elasticsearch, GES) - Real-time query optimization - Real-time retrieval solution components |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
1. In FusionInsight HD, the Streaming packaging tool is used to package the business code jar package and other dependent jar packages into a complete Streaming application jar package
A) True
B) False
2. In FusionInsight HD, regarding the secondary development of Hive UDF, which of the following descriptions is correct? (multiple choice)
A) User-defined UDF can add deterministic and statefull annotations according to the actual situation.
B) User-defined UDF is not allowed to add information such as summary and status.
C) In a secure cluster, user-defined UDFs are recommended to be created before each use.
D) Before the user-defined UDF is used, it needs to be created in the Hive system.
3. There are scenarios where 500G of new data is generated by the online system every day, and these data need to be statistically summarized in dimensions such as days, weeks, and months.
Which table is suitable for Hive processing?
A) Bucket table, according to talent
B) Partition table, partition by day
C) Partition + bucket table, partitioned by time, 2560 buckets per partition
D) Tilt table, select the date in the tilt field, and the tilt value is random
4. HBase filters can set column names or column values as filter conditions, and support multiple filters to be used together.
A) True
B) False
5. In Kafka, is the following statement about the data sent by the Producer wrong? (multiple choice)
A) As a message producer, Producer can directly write data to ZooKeeper
B) Producer can send data to Broker, and can send data to Consumer
C) Producer can produce data by connecting to any normal Broker instance
D) Producer is responsible for producing data, Consumer is responsible for consuming data, Socket connection needs to be established between Producer and Consumer
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A,B,D |



