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Huawei Huawei Other Certification H13-723-ENU

H13-723-ENU

Exam Code: H13-723-ENU

Exam Name: HCIP-Big Data Developer

Updated: Sep 06, 2026

Q & A: 155 Questions and Answers

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Huawei H13-723-ENU Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Big Data Application Development Overall Guide15%- Big data architecture: Lambda and Kappa
- HDFS advanced features and YARN scheduling
- FusionInsight HD architecture and components
- Security framework: Kerberos, Ranger, ZooKeeper
Topic 2: Big Data Offline Batch Processing Scenario-based Solution25%- Hive development: UDF/UDAF/UDTF, ACID, optimization
- Spark development: RDD, DataFrame, Catalyst, AQE
- Data ingestion and lakehouse formats
Topic 3: Big Data Real-time Stream Computing Scenario-based Solution30%- Spark Structured Streaming
- Kafka integration and transactions
- Flink SQL and CEP
- Apache Flink: event time, windowing, state, checkpoint
Topic 4: Big Data Real-time Retrieval Scenario-based Solution30%- HBase design, coprocessors, optimization
- Elasticsearch, SolrCloud, CarbonData usage
- Apache Phoenix SQL and indexing
- GaussDB(DWS) data warehouse

Huawei HCIP-Big Data Developer Sample Questions:

Question #1

A large manufacturing company plans to transform its internal logistics data and sales data into big data. The design department has given an analysis of the data storage plan. Which of the following descriptions is correct?

A. HBase can be built on ordinary commercial servers, and the construction cost is relatively low.
B. Hbase supports efficient random reading, and can complete real-time analysis and command of the logistics situation after a reasonable design.
C. Logistics data is very sparse, and HBase can efficiently process sparse data.
D. HBase stores massive data and supports dynamic expansion, which can fulfill the storage requirements of logistics and sales data.


Question #2

In the Hive application of FusionInsight HD, there are scenarios where the data storage file has a high compression efficiency, and most queries only involve a part of the file field. This scenario is suitable for ORC File storage.

A. False
B. True


Question #3

When the HBase application is running, the application can write data while creating a table.

A. False
B. True


Question #4

In Spark, assuming that lines is a DStream object, which of the following statements can periodically count the number of words on this stream?

A. Iines.flatMap(_.split (" " )).map(word => (word,word.Iength())).reduceByKey (_ +_).print()
B. Iines.flatMap(_.split (" " )).map(word => (word, 1)).reduce(_ +_).print()
C. Iines.fIatMap(_.spIit (" " )).map(word => (word, 1)).reduceByKey(_ +_).print()
D. Iines.flatMap(_.split (" " )).flatMap(word => (word, 1)).groupByKey(_ +_).print()


Question #5

Which of the following is not a feature of MapReduce?

A. Real-time calculation
B. Good scalability
C. Easy to program
D. High fault tolerance


Solutions:

Question #1
Answer: A,B,C,D
Question #2
Answer: B
Question #3
Answer: A
Question #4
Answer: C
Question #5
Answer: A

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