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Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Application Development Overall Guide | 15% | - Security framework: Kerberos, Ranger, ZooKeeper - Big data architecture: Lambda and Kappa - FusionInsight HD architecture and components - HDFS advanced features and YARN scheduling |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - Elasticsearch, SolrCloud, CarbonData usage - Apache Phoenix SQL and indexing - HBase design, coprocessors, optimization - GaussDB(DWS) data warehouse |
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - Spark development: RDD, DataFrame, Catalyst, AQE - Hive development: UDF/UDAF/UDTF, ACID, optimization - Data ingestion and lakehouse formats |
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Spark Structured Streaming - Flink SQL and CEP - Apache Flink: event time, windowing, state, checkpoint - Kafka integration and transactions |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
Question 1
When a task is submitted to the YARN cluster, which of the following options will generate a job id for the task?
A. ResourceManager
B. container
C. NodeManager
D. AppMaster
Question 2
In FusionInsight HD, which of the following source types does Flume support? (multiple choice)
A. Avro
B. Kafka
C. HBase
D. HTTP
Question 3
In Streaming application development, which interface does Bolt use to send Tuples?
A. open
B. execute
C. nextTuple
D. emit
Question 4
In the FusionInsight HD system, in the Solr example project solr-example\conf\solr-example.properties, the values of ZK_URL and ZOOKEEPER_DEFAULT_SERVER_PRINCIPAL can be obtained from which of the following options?
A. Obtained from the FusionInsight Manager Solr service configuration interface
B. Obtain from the Solr Admin UI interface
C. In solr-example\conf\solr-example.properties, these two parameters are already included by default
Question 5
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. Partition + bucket table, partitioned by time, 2560 buckets per partition
B. Bucket table, according to talent
C. Tilt table, select the date in the tilt field, and the tilt value is random
D. Partition table, partition by day
Solutions:
| Question 1 Answer: A | Question 2 Answer: A,B,D | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: D |
