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Huawei HCIP-Big Data Developer Sample Questions:

1. 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

2. Regarding the characteristics of the data collected by Flume, which of the following descriptions is correct?

A) Support distributed and streaming collection
B) Only structured data can be collected
C) Use external timing tasks to trigger data collection
D) Parallel collection with MapReduce tasks

3. What are the features of Streaming in FusionInsight HD? (multiple choice)

A) High fault tolerance
B) Stream processing
C) High performance
D) Scalable

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

A) 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
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 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

5. In FusionInsight HD, what are the data distribution methods belonging to Streaming? (multiple choice)

A) Shuffle Grouping
B) Direct Grouping
C) Field Grouping
D) Local Grouping

Solutions: