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Huawei H13-723 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Distributed Data Processing | - MapReduce Principles - Spark Computing Framework |
| Topic 2: Real-time Data Processing | - Stream Processing Concepts - Flink/Spark Streaming Basics |
| Topic 3: Big Data Fundamentals | - Data Storage and Processing Concepts - Big Data Architecture and Ecosystem Overview |
| Topic 4: Data Development and Engineering Practices | - Data Pipeline Development - ETL Design and Implementation |
| Topic 5: Hadoop Ecosystem Technologies | - YARN Resource Scheduling - HDFS and Data Management |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
1. For the design principles of HBase rowkey, which of the following descriptions is correct? (multiple choice)
A) The attribute value with high access weight is placed in front of RowKey
B) The attribute value with high access weight is placed in the second half of Rowkey
C) The attribute value with good dispersion is placed in the first half of Rowkey
D) Attribute values with good dispersion are placed in the second half of Rowkey
2. As the core object of Spark, which of the following characteristics does RDD have? (multiple choice)
A) Fault tolerance
B) Partition
C) Efficient
D) Read only
3. In the implementation of the business logic of HBase writing data, which of the following interfaces or classes does not need to be involved?
A) HBaseAdmin
B) PutList
C) Put
D) HTable
4. In Kafka, Consumer can support both offline and online message consumption, but the consumption of data is sequential consumption.
A) True
B) False
5. In HBase application development, when the Rowkey range and distribution of a table are known, it is recommended to pre-divide regions. After calling the following code (fragment) to pre-divide a table into regions, this table will create several regions.
//Create a table of pre-partitioned regions
byte[][] splits=new byte[4][];
splits[0] = Bytes.toBytes("A");
splits[1] = Bytes.toBytes("H");
splits[2] = Bytes.toBytes("O");
splits[3] = Bytes.toBytes("U");
admin.createTable (htd, splits);
A) 3
B) 4
C) 5
D) 6
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: A,B,C,D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: C |




