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Huawei HCIP-Big Data Developer V1.0 Sample Questions:

1. Regarding FusionInsight HD's Spark, which of the following programming languages can be used to develop Spark applications? (multiple choice)

A) Scala
B) C
C) Python
D) Java

2. The calculation logic of the Spark application will be parsed into DNG. Which of the following functional modules will complete this parsing operation?

A) Driver
B) Application Master
C) Client
D) Executor

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

4. When Flume writes into HDFS, what are the file generation methods? (multiple choice)

A) Set the size of a single file. When the file size reaches the set value, the old file will be closed and the new data will be written into the new file
B) Set the number of events stored in a single file. When the number of events stored in the file reaches the set value, the old file will be closed and the new data will be written to the new file
C) According to the source file name, directly generate the file
D) Set the file generation time interval. When the time interval is reached, the old file will be closed and the new data will be written into the new file

5. In Spark, which statement about broadcast variables is correct?

A) The broadcast variable is saved in each Executor
B) Broadcast variables are saved in each Task
C) Broadcast variables are read-only
D) Broadcast variables are generated by the SparkContext.broadcast() method

Solutions: