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Huawei H13-723-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - Data ingestion and lakehouse formats - Spark development: RDD, DataFrame, Catalyst, AQE - Hive development: UDF/UDAF/UDTF, ACID, optimization |
| Big Data Application Development Overall Guide | 15% | - Big data architecture: Lambda and Kappa - FusionInsight HD architecture and components - HDFS advanced features and YARN scheduling - Security framework: Kerberos, Ranger, ZooKeeper |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - GaussDB(DWS) data warehouse - Elasticsearch, SolrCloud, CarbonData usage - HBase design, coprocessors, optimization - Apache Phoenix SQL and indexing |
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Apache Flink: event time, windowing, state, checkpoint - Flink SQL and CEP - Spark Structured Streaming - Kafka integration and transactions |
Huawei HCIP-Big Data Developer Sample Questions:
Question 1
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
Question 2
Regarding the disaster tolerance of Streaming, which of the following statements is correct? (multiple choice)
A. Worker can be automatically pulled up by Supervisor after abnormal exit without manual intervention.
B. After Nimbus fails, the standby Nimbus will automatically take over, without affecting the running business.
C. After the Supervisor process exits, it can be automatically recognized and pulled up by Nimbus without affecting the running business.
D. When a node fails, tasks on that node will be reassigned to other normal nodes without manual intervention.
Question 3
For HBase column family, which of the following attributes can be set? (multiple choice)
A. Compression
B. Coprocessor
C. TTL
D. Versions
Question 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. Kafka
B. HBase
C. Redis
D. HDfS
Question 5
Spark Streaming, as a stream processing engine for micro-batch processing, converts the data of each time slice into a partition in an RDD for calculation.
A. True
B. False
Solutions:
| Question 1 Answer: B | Question 2 Answer: A,B,C,D | Question 3 Answer: A,C,D | Question 4 Answer: A,C | Question 5 Answer: A |
